Tianlong Chen

Raghuraman Krishnamoorthi

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once.

[BibT_eX]

[DOI]

Shiyu Chang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evolution-Inspired Loss Functions for Protein Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse MoE with Language Guided Routing for Multilingual Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cross-Lingual Multi-Hop Knowledge Editing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Facial Affective Behavior Analysis with Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Contextualization Distillation from Large Language Model for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., October, 2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Troubleshooting image segmentation models with human-in-the-loop.

[BibT_eX]

[DOI]

Mach. Learn., March, 2023

Can Pruning Improve Certified Robustness of Neural Networks?

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need.

[BibT_eX]

[DOI]

CoRR, 2023

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking PGD Attack: Is Sign Function Necessary?

[BibT_eX]

[DOI]

CoRR, 2023

SiRA: Sparse Mixture of Low Rank Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

H<sub>2</sub>O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Formation Control of Spacecraft Based on SE(3) With Asymmetric Saturated Input.

[BibT_eX]

[DOI]

IEEE Access, 2023

Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.

[BibT_eX]

[DOI]

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

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Enhancing Adversarial Training via Reweighting Optimization Trajectory.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

[BibT_eX]

[DOI]

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

The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.

[BibT_eX]

[DOI]

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

Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning to Optimize Differentiable Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Graph Domain Adaptation via Theory-Grounded Spectral Regularization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Attention All That NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Mixture-of-Expert Training for Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.

[BibT_eX]

[DOI]

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

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.

[BibT_eX]

[DOI]

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

Accelerable Lottery Tickets with the Mixed-Precision Quantization.

[BibT_eX]

[DOI]

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

Learning to Generalize Provably in Learning to Optimize.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.

[BibT_eX]

[DOI]

Xuxi Chen

Weizhu Chen

Ahmed Hassan Awadallah

Yu Cheng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

[BibT_eX]

[DOI]

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

2022

Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2022

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2022

Can You Win Everything with A Lottery Ticket?

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Adversarial Feature Augmentation and Normalization for Visual Recognition.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Learning to Optimize: A Primer and A Benchmark.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

M<sup>3</sup>ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.

[BibT_eX]

[DOI]

CoRR, 2022

Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?

[BibT_eX]

[DOI]

CoRR, 2022

Is Attention All NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

CoRR, 2022

Neural Implicit Dictionary via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

CoRR, 2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

[BibT_eX]

[DOI]

CoRR, 2022

APP: Anytime Progressive Pruning.

[BibT_eX]

[DOI]

CoRR, 2022

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Advancing Model Pruning via Bi-level Optimization.

[BibT_eX]

[DOI]

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

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.

[BibT_eX]

[DOI]

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

Sparse Winning Tickets are Data-Efficient Image Recognizers.

[BibT_eX]

[DOI]

Subhashini Venugopalan

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

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.

[BibT_eX]

[DOI]

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

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

[BibT_eX]

[DOI]

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

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

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

Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets.

[BibT_eX]

[DOI]

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

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.

[BibT_eX]

[DOI]

Mykola Pechenizkiy

Shiwei Liu

Proceedings of the Learning on Graphs Conference, 2022

Border Ownership, Category Selectivity and Beyond.

[BibT_eX]

[DOI]

Xuemei Cheng

Thomas Tsao

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Neural Implicit Dictionary Learning via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Universality of Winning Tickets: A Renormalization Group Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Training Your Sparse Neural Network Better with Any Mask.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Symbolic Learning to Optimize: Towards Interpretability and Scalability.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unified Visual Transformer Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.

[BibT_eX]

[DOI]

Mykola Pechenizkiy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimizer Amalgamation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable.

[BibT_eX]

[DOI]

Shaojin Ding

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings.

[BibT_eX]

[DOI]

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

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.

[BibT_eX]

[DOI]

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

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.

[BibT_eX]

[DOI]

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

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.

[BibT_eX]

[DOI]

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

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Playing Lottery Tickets with Vision and Language.

[BibT_eX]

[DOI]

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

2021

Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling.

[BibT_eX]

[DOI]

CoRR, 2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.

[BibT_eX]

[DOI]

CoRR, 2021

Playing Lottery Tickets with Vision and Language.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.

[BibT_eX]

[DOI]

CoRR, 2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.

[BibT_eX]

[DOI]

CoRR, 2021

Sandwich Batch Normalization.

[BibT_eX]

[DOI]

CoRR, 2021

Good Students Play Big Lottery Better.

[BibT_eX]

[DOI]

CoRR, 2021

Design and testing of a production line mechanism for continuous cutting and coring of broccoli.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

Adaptive Super-Twisting Distributed Formation Control of Multi-Quadrotor Under External Disturbance.

[BibT_eX]

[DOI]

IEEE Access, 2021

Adaptive Fixed Time Nonsingular Terminal Sliding-Mode Control for Quadrotor Formation With Obstacle and Inter-Quadrotor Avoidance.

[BibT_eX]

[DOI]

IEEE Access, 2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

[BibT_eX]

[DOI]

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

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.

[BibT_eX]

[DOI]

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

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling.

[BibT_eX]

[DOI]

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

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.

[BibT_eX]

[DOI]

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

Chasing Sparsity in Vision Transformers: An End-to-End Exploration.

[BibT_eX]

[DOI]

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

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.

[BibT_eX]

[DOI]

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

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.

[BibT_eX]

[DOI]

Mingkang Zhu

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

Efficient Lottery Ticket Finding: Less Data is More.

[BibT_eX]

[DOI]

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

Graph Contrastive Learning Automated.

[BibT_eX]

[DOI]

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

Self-Damaging Contrastive Learning.

[BibT_eX]

[DOI]

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

A Unified Lottery Ticket Hypothesis for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Learning A Minimax Optimizer: A Pilot Study.

[BibT_eX]

[DOI]

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

Undistillable: Making A Nasty Teacher That CANNOT teach students.

[BibT_eX]

[DOI]

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

GANs Can Play Lottery Tickets Too.

[BibT_eX]

[DOI]

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

Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.

[BibT_eX]

[DOI]

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

Robust Overfitting may be mitigated by properly learned smoothening.

[BibT_eX]

[DOI]

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

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Troubleshooting Blind Image Quality Models in the Wild.

[BibT_eX]

[DOI]

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

"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.

[BibT_eX]

[DOI]

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

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.

[BibT_eX]

[DOI]

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

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.

[BibT_eX]

[DOI]

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?

[BibT_eX]

[DOI]

CoRR, 2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

Multi-Layer Adaptive Finite Time Super Twisting Control for Quaternion-Based Quadrotor Formation With Obstacle Avoidance.

[BibT_eX]

[DOI]

IEEE Access, 2020

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Graph Contrastive Learning with Augmentations.

[BibT_eX]

[DOI]

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

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.

[BibT_eX]

[DOI]

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

Robust Pre-Training by Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

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

Training Stronger Baselines for Learning to Optimize.

[BibT_eX]

[DOI]

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

The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

[BibT_eX]

[DOI]

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

Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

AutoSpeech: Neural Architecture Search for Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

When Does Self-Supervision Help Graph Convolutional Networks?

[BibT_eX]

[DOI]

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

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

[BibT_eX]

[DOI]

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

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.

[BibT_eX]

[DOI]

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

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.

[BibT_eX]

[DOI]

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

HALO: Hardware-Aware Learning to Optimize.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.

[BibT_eX]

[DOI]

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

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.

[BibT_eX]

[DOI]

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

SE-ECGNet: Multi-scale SE-Net for Multi-lead ECG Data.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2020

2019

Learning to Optimize in Swarms.

[BibT_eX]

[DOI]

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

Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching.

[BibT_eX]

[DOI]

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

ABD-Net: Attentive but Diverse Person Re-Identification.

[BibT_eX]

[DOI]

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

Bipartite Network Analysis with Multiple Datatypes: Implications for Precision Medicine in the Age of Multi-omics Data.

[BibT_eX]

[DOI]

Emmanuel A. Santillana

Clark Andersen

Laurel A. Copeland

Suresh K. Bhavnani

Proceedings of the AMIA 2019, 2019

The Role of Bipartite Networks in Stratified Predictive Modeling.

[BibT_eX]

[DOI]

Suresh K. Bhavnani

Clark Andersen

Yu-Li Lin

Emmanuel A. Santillana

Yong-Fang Kuo

Proceedings of the AMIA 2019, 2019

2018

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2018, 2018

2017

Network community detection using modularity density measures.

[BibT_eX]

[DOI]

Pramesh Singh

Kevin E. Bassler

CoRR, 2017

Identification of Patient Subgroups in Metastatic Breast Cancer Patients Based on Somatic Copy Number Alterations: A Bipartite Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

2016

ExplodeLayout: Comprehending Patient Subgroups in Large Networks.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2016, 2016

2015

Fusing cross-media for topic detection by dense keyword groups.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2012

An effective multi-clue fusion approach for web video topic detection.

[BibT_eX]

[DOI]