Jun Zhu

Sci. China Inf. Sci., February, 2023

Batch virtual adversarial training for graph convolutional networks.

[BibT_eX]

[DOI]

Yinpeng Dong

AI Open, January, 2023

A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds.

[BibT_eX]

[DOI]

Math. Program., 2023

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Towards a General Framework for Continual Learning with Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.

[BibT_eX]

[DOI]

CoRR, 2023

How Robust is Google's Bard to Adversarial Image Attacks?

[BibT_eX]

[DOI]

CoRR, 2023

Memory Efficient Optimizers with 4-bit States.

[BibT_eX]

[DOI]

Bingrui Li

CoRR, 2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

[BibT_eX]

[DOI]

CoRR, 2023

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.

[BibT_eX]

[DOI]

CoRR, 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.

[BibT_eX]

[DOI]

CoRR, 2023

A constrained Bayesian approach to out-of-distribution prediction.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Accelerated Model Training via Bayesian Data Selection.

[BibT_eX]

[DOI]

Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On the Reuse Bias in Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GNOT: A General Neural Operator Transformer for Operator Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equivariant Energy-Guided SDE for Inverse Molecular Design.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Detection Transformer with Stable Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

All are Worth Words: A ViT Backbone for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Certifiable Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Diagnosing Ensemble Few-Shot Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Triple-Memory Networks: A Brain-Inspired Method for Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Towards generalizable detection of face forgery via self-guided model-agnostic learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Deep reinforcement learning with credit assignment for combinatorial optimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Loss function search for person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Triple Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Efficient Inference for Dynamic Flexible Interactions of Neural Populations.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Tianshou: A Highly Modularized Deep Reinforcement Learning Library.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

[BibT_eX]

[DOI]

CoRR, 2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2022

Improving transferability of 3D adversarial attacks with scale and shear transformations.

[BibT_eX]

[DOI]

CoRR, 2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network.

[BibT_eX]

[DOI]

CoRR, 2022

Spectral Representation Learning for Conditional Moment Models.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Eigenfunctions Are Structured Representation Learners.

[BibT_eX]

[DOI]

CoRR, 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.

[BibT_eX]

[DOI]

CoRR, 2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Ensemble as a Gaussian Process Approximate Posterior.

[BibT_eX]

[DOI]

CoRR, 2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

AutoDA: Automated Decision-based Iterative Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Fast Instrument Learning with Faster Rates.

[BibT_eX]

[DOI]

Ziyu Wang

Yuhao Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Isometric 3D Adversarial Examples in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning.

[BibT_eX]

[DOI]

Feng Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Confidence-based Reliable Learning under Dual Noises.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

NeuralEF: Deconstructing Kernels by Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Memory Replay with Data Compression for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Memorization in Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

BadDet: Backdoor Attacks on Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Analyzing the Noise Robustness of Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

Semiparametric method and theory for continuously indexed spatio-temporal processes.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2021

AdvCapsNet: To defense adversarial attacks based on Capsule networks.

[BibT_eX]

[DOI]

Yueqiao Li

J. Vis. Commun. Image Represent., 2021

Learning auto-scale representations for person re-identification.

[BibT_eX]

[DOI]

Image Vis. Comput., 2021

Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Unrestricted Adversarial Attacks on ImageNet Competition.

[BibT_eX]

[DOI]

CoRR, 2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.

[BibT_eX]

[DOI]

CoRR, 2021

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Semantic Contour for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Query-based Adversarial Attacks on Graph with Fake Nodes.

[BibT_eX]

[DOI]

CoRR, 2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.

[BibT_eX]

[DOI]

CoRR, 2021

Query2Label: A Simple Transformer Way to Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2021

Nonlinear Hawkes Processes in Time-Varying System.

[BibT_eX]

[DOI]

CoRR, 2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Training with Rectified Rejection.

[BibT_eX]

[DOI]

CoRR, 2021

Automated Decision-based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2021

Few-shot Continual Learning: a Brain-inspired Approach.

[BibT_eX]

[DOI]

CoRR, 2021

Accurate and Reliable Forecasting using Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

DNN2LR: Automatic Feature Crossing for Credit Scoring.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Natural Adversarial Examples for Classification Models.

[BibT_eX]

[DOI]

CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-trained models: Past, present and future.

[BibT_eX]

[DOI]

AI Open, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accumulative Poisoning Attacks on Real-time Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.

[BibT_eX]

[DOI]

Shuyu Cheng

Guoqiang Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Inference of Flexible Interaction in Spiking-neuron Networks.

[BibT_eX]

[DOI]

Feng Zhou

Yixuan Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering.

[BibT_eX]

[DOI]

Tsung Wei Tsai

Proceedings of the 9th International Conference on Learning Representations, 2021

Bag of Tricks for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Implicit Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Face Encryption by Generating Adversarial Identity Masks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Black-box Detection of Backdoor Attacks with Limited Information and Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Part Segmentation Through Disentangling Appearance and Shape.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mining Cross Features for Financial Credit Risk Assessment.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Learning Task-Distribution Reward Shaping with Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improving Generative Moment Matching Networks with Distribution Partition.

[BibT_eX]

[DOI]

Yucen Luo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Towards a new generation of artificial intelligence in China.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2020

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Qingyi Pan

CoRR, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2020

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Active Learning by Model Interpretability.

[BibT_eX]

[DOI]

CoRR, 2020

Delving into the Adversarial Robustness on Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks.

[BibT_eX]

[DOI]

Feng Zhou

Yixuan Zhang

CoRR, 2020

Dynamic Window-level Granger Causality of Multi-channel Time Series.

[BibT_eX]

[DOI]

CoRR, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Privacy Protection by Generating Adversarial Identity Masks.

[BibT_eX]

[DOI]

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

[BibT_eX]

[DOI]

CoRR, 2020

PopMNet: Generating structured pop music melodies using neural networks.

[BibT_eX]

[DOI]

Artif. Intell., 2020

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning Implicit Generative Models by Teaching Density Estimators.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?

[BibT_eX]

[DOI]

Guoqiang Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Boosting Adversarial Training with Hypersphere Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Distributional Training for Robust Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding and Exploring the Network with Stochastic Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Calibrated Reliable Regression using Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Further Analysis of Outlier Detection with Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Variance Reduction and Quasi-Newton for Particle-Based Variational Inference.

[BibT_eX]

[DOI]

Michael Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

Nonparametric Score Estimators.

[BibT_eX]

[DOI]

Yuhao Zhou

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

VFlow: More Expressive Generative Flows with Variational Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information.

[BibT_eX]

[DOI]

Jialian Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.

[BibT_eX]

[DOI]

Tianyu Pang

Kun Xu

Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

To Relieve Your Headache of Training an MRF, Take AdVIL.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

SVQN: Sequential Variational Soft Q-Learning Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Design and Interpretation of Universal Adversarial Patches in Face Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Benchmarking Adversarial Robustness on Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Max-Margin Majority Voting for Learning from Crowds.

[BibT_eX]

[DOI]

You Qiaoben

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Towards controllable image descriptions with semi-supervised VAE.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Benchmarking Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2019

Design and Interpretation of Universal Adversarial Patches in Face Detection.

[BibT_eX]

[DOI]

CoRR, 2019

DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures.

[BibT_eX]

[DOI]

CoRR, 2019

Understanding and Stabilizing GANs' Training Dynamics with Control Theory.

[BibT_eX]

[DOI]

CoRR, 2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2019

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels.

[BibT_eX]

[DOI]

Yucen Luo

Tomas Pfister

CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.

[BibT_eX]

[DOI]

CoRR, 2019

DS<sup>3</sup>L: Deep Self-Semi-Supervised Learning for Image Recognition.

[BibT_eX]

[DOI]

Tsung Wei Tsai

CoRR, 2019

Boosting Generative Models by Leveraging Cascaded Meta-Models.

[BibT_eX]

[DOI]

Fan Bao

CoRR, 2019

Reward Shaping via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Variational Inference and Learning in Markov Random Fields.

[BibT_eX]

[DOI]

CoRR, 2019

Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Multi-objects Generation with Amortized Structural Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Training of Inference Networks for Gaussian-Process Models.

[BibT_eX]

[DOI]

Mohammad Emtiyaz Khan

Proceedings of the 36th International Conference on Machine Learning, 2019

Improving Adversarial Robustness via Promoting Ensemble Diversity.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding and Accelerating Particle-Based Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding MCMC Dynamics as Flows on the Wasserstein Space.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Function Space Particle Optimization for Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Yucen Luo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Sparse Adversarial Perturbations for Videos.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Composite Binary Decomposition Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Visual Diagnosis of Tree Boosting Methods.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2018

Analyzing the Training Processes of Deep Generative Models.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2018

Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Scalable Training of Hierarchical Topic Models.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2018

Spectral Learning for Supervised Topic Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Max-Margin Deep Generative Models for (Semi-)Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Dropout training for SVMs with data augmentation.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.

[BibT_eX]

[DOI]

CoRR, 2018

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Structured Generative Models.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Implicit Generative Models by Teaching Explicit Ones.

[BibT_eX]

[DOI]

CoRR, 2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial Attacks and Defences Competition.

[BibT_eX]

[DOI]

CoRR, 2018

Sparse Adversarial Perturbations for Videos.

[BibT_eX]

[DOI]

Xingxing Wei

CoRR, 2018

Towards Robust Detection of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Semi-crowdsourced Clustering with Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Graphical Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stochastic Expectation Maximization with Variance Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Video-to-Video Translation with Global Temporal Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Probabilistic Machine Learning: Models, Algorithms and a Programming Library.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Analyzing the Noise Robustness of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

Message Passing Stein Variational Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

A Spectral Approach to Gradient Estimation for Implicit Distributions.

[BibT_eX]

[DOI]

Shengyang Sun

Proceedings of the 35th International Conference on Machine Learning, 2018

Max-Mahalanobis Linear Discriminant Analysis Networks.

[BibT_eX]

[DOI]

Tianyu Pang

Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Attack on Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction.

[BibT_eX]

[DOI]

Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Kernel Implicit Variational Inference.

[BibT_eX]

[DOI]

Shengyang Sun

Proceedings of the 6th International Conference on Learning Representations, 2018

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Textbook Question Answering Under Instructor Guidance With Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems.

[BibT_eX]

[DOI]

Zihao Xiao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Selective Verification Strategy for Learning From Crowds.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Riemannian Stein Variational Gradient Descent for Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Towards better analysis of machine learning models: A visual analytics perspective.

[BibT_eX]

[DOI]

Vis. Informatics, 2017

Towards Better Analysis of Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2017

Special Issue on Biomedical Big Data: Understanding, Learning and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2017

Online Bayesian Passive-Aggressive Learning.

[BibT_eX]

[DOI]

Tianlin Shi

J. Mach. Learn. Res., 2017

PSDVec: A toolbox for incremental and scalable word embedding.

[BibT_eX]

[DOI]

Shaohua Li

Chunyan Miao

Neurocomputing, 2017

Fast sampling methods for Bayesian max-margin models.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

Learning Random Fourier Features by Hybrid Constrained Optimization.

[BibT_eX]

[DOI]

Jianqiao Wangni

CoRR, 2017

Visual Concepts and Compositional Voting.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Discovering Adversarial Examples with Momentum.

[BibT_eX]

[DOI]

CoRR, 2017

ZhuSuan: A Library for Bayesian Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.

[BibT_eX]

[DOI]

CoRR, 2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Implicit Variational Inference with Kernel Density Ratio Fitting.

[BibT_eX]

[DOI]

Shengyang Sun

CoRR, 2017

Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test.

[BibT_eX]

[DOI]

Tianyu Pang

CoRR, 2017

Triple Generative Adversarial Nets.

[BibT_eX]

[DOI]

CoRR, 2017

SAM: Semantic Attribute Modulated Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2017

Scalable Inference for Nested Chinese Restaurant Process Topic Models.

[BibT_eX]

[DOI]

CoRR, 2017

Triple Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Structured Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Population Matching Discrepancy and Applications in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Forecast the Plausible Paths in Crowd Scenes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Distributed Accelerated Proximal Coordinate Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Learning-from-Crowds through Expert Validation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Identify the Nash Equilibrium in Static Games with Random Payoffs.

[BibT_eX]

[DOI]

Jialian Li

Proceedings of the 34th International Conference on Machine Learning, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Detecting Semantic Parts on Partially Occluded Objects.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

Learning Attributes from the Crowdsourced Relative Labels.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

TopicPanorama: A Full Picture of Relevant Topics.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2016

Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Max-Margin Nonparametric Latent Feature Models for Link Prediction.

[BibT_eX]

[DOI]

Jiaming Song

Bei Chen

CoRR, 2016

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.

[BibT_eX]

[DOI]

CoRR, 2016

Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs).

[BibT_eX]

[DOI]

CoRR, 2016

Streaming Gibbs Sampling for LDA Model.

[BibT_eX]

[DOI]

Yang Gao

CoRR, 2016

Collaborative Filtering with User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2016

A Communication-Efficient Parallel Method for Group-Lasso.

[BibT_eX]

[DOI]

Binghong Chen

CoRR, 2016

Scaling up Dynamic Topic Models.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Kernel Bayesian Inference with Posterior Regularization.

[BibT_eX]

[DOI]

Yang Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Conditional Generative Moment-Matching Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Gradient Geodesic MCMC Methods.

[BibT_eX]

[DOI]

Yang Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Distributing the Stochastic Gradient Sampler for Large-Scale LDA.

[BibT_eX]

[DOI]

Yuan Yang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Diversity-Promoting Bayesian Learning of Latent Variable Models.

[BibT_eX]

[DOI]

Pengtao Xie

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning to Generate with Memory.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discriminative Deep Random Walk for Network Classification.

[BibT_eX]

[DOI]

Juzheng Li

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Generative Topic Embedding: a Continuous Representation of Documents.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization.

[BibT_eX]

[DOI]

Yang Song

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Jointly Modeling Topics and Intents with Global Order Structure.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Discriminative Relational Topic Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization.

[BibT_eX]

[DOI]

Xianjie Chen

Alan L. Yuille

CoRR, 2015

Pose-Guided Human Parsing with Deep Learned Features.

[BibT_eX]

[DOI]

CoRR, 2015

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Parallel SVM using Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2015

Bounded-Distortion Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Stochastic Subgradient MCMC Methods.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Deep Generative Models with Doubly Stochastic MCMC.

[BibT_eX]

[DOI]

CoRR, 2015

WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

CoRR, 2015

Crowd Fraud Detection in Internet Advertising.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

Uncovering the Latent Structures of Crowd Labeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Max-Margin Majority Voting for Learning from Crowds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Max-Margin Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Polyphonic Music Modelling with LSTM-RTRBM.

[BibT_eX]

[DOI]

Qi Lyu

Zhiyong Wu

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Adaptive Dropout Rates for Learning with Corrupted Features.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution.

[BibT_eX]

[DOI]

Shaohua Li

Chunyan Miao

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Large Scale Sentiment Analysis with Locality Sensitive BitHash.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2015

2014

Discriminative Training of Mixed Membership Models.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Learning Harmonium Models With Infinite Latent Features.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Bayesian inference with posterior regularization and applications to infinite latent SVMs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Gibbs max-margin topic models with data augmentation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Big Learning with Bayesian Methods.

[BibT_eX]

[DOI]

CoRR, 2014

Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields.

[BibT_eX]

[DOI]

Ni Lao

CoRR, 2014

Nonparametric bayesian upstream supervised multi-modal topic models.

[BibT_eX]

[DOI]

Renjie Liao

Zengchang Qin

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm.

[BibT_eX]

[DOI]

Junhua Mao

Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Distributed Bayesian Posterior Sampling via Moment Sharing.

[BibT_eX]

[DOI]

Balaji Lakshminarayanan

Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Spectral Methods for Supervised Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Robust Bayesian Max-Margin Clustering.

[BibT_eX]

[DOI]

Changyou Chen

Xinhua Zhang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Max-margin latent feature relational models for entity-attribute networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Max-Margin Infinite Hidden Markov Models.

[BibT_eX]

[DOI]

Aonan Zhang

Proceedings of the 31th International Conference on Machine Learning, 2014

Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models.

[BibT_eX]

[DOI]

Shike Mei

Jerry Zhu

Proceedings of the 31th International Conference on Machine Learning, 2014

Bayesian Max-margin Multi-Task Learning with Data Augmentation.

[BibT_eX]

[DOI]

Chengtao Li

Proceedings of the 31th International Conference on Machine Learning, 2014

An Active Patch Model for Real World Texture and Appearance Classification.

[BibT_eX]

[DOI]

Junhua Mao

Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2014, 2014

Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Dropout Training for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2013

Sparse online topic models.

[BibT_eX]

[DOI]

Aonan Zhang

Proceedings of the 22nd International World Wide Web Conference, 2013

Sparse Relational Topic Models for Document Networks.

[BibT_eX]

[DOI]

Aonan Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Scalable Inference for Logistic-Normal Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable inference in max-margin topic models.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Generalized Relational Topic Models with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Max-Margin Matrix Factorization with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Discriminative infinite latent feature models.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.

[BibT_eX]

[DOI]

Xun Zheng

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Dynamics of an ecological model with impulsive control strategy and distributed time delay.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2012

MedLDA: maximum margin supervised topic models.

[BibT_eX]

[DOI]

Amr Ahmed

J. Mach. Learn. Res., 2012

Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines

[BibT_eX]

[DOI]

CoRR, 2012

Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Monte Carlo Methods for Maximum Margin Supervised Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning from crowds in the presence of schools of thought.

[BibT_eX]

[DOI]

Yuandong Tian

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Max-Margin Nonparametric Latent Feature Models for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2012

2011

Sparse Topical Coding.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Infinite Latent SVM for Classification and Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Conditional topical coding: an efficient topic model conditioned on rich features.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Large Margin Learning of Upstream Scene Understanding Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Adaptive Multi-Task Lasso: with Application to eQTL Detection.

[BibT_eX]

[DOI]

Seunghak Lee

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Efficient Relational Learning with Hidden Variable Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.

[BibT_eX]

[DOI]

Ni Lao

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Conditional Topic Random Fields.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Statistical Web Object Extraction.

[BibT_eX]

[DOI]

Zaiqing Nie

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Maximum Entropy Discrimination Markov Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

StatSnowball: a statistical approach to extracting entity relationships.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

Incorporating site-level knowledge to extract structured data from web forums.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

Primal sparse Max-margin Markov networks.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

User grouping behavior in online forums.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On primal and dual sparsity of Markov networks.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

MedLDA: maximum margin supervised topic models for regression and classification.

[BibT_eX]

[DOI]

Amr Ahmed

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Partially Observed Maximum Entropy Discrimination Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Laplace maximum margin Markov networks.

[BibT_eX]

[DOI]