Tianyi Zhou

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

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Recommendation with Additive Personalization.

[BibT_eX]

[DOI]

Zhiwei Li

Guodong Long

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AlpaGasus: Training a Better Alpaca with Fewer Data.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

Dinesh Manocha

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

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.

[BibT_eX]

[DOI]

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

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers.

[BibT_eX]

[DOI]

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

1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?

[BibT_eX]

[DOI]

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

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.

[BibT_eX]

[DOI]

Maharshi Gor

Hal Daumé III

Jordan L. Boyd-Graber

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

Do Text-Free Diffusion Models Learn Discriminative Visual Representations?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Understanding the Impact of Negative Prompts: When and How Do They Take Effect?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Corpus-Steered Query Expansion with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.

[BibT_eX]

[DOI]

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

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

[BibT_eX]

[DOI]

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

Automatic Curriculum for Unsupervised Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Multi-Objective Linguistic Control of Large Language Models.

[BibT_eX]

[DOI]

Dang Nguyen

Jiuhai Chen

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

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.

[BibT_eX]

[DOI]

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

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning.

[BibT_eX]

[DOI]

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

Meta-Task Prompting Elicits Embeddings from Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.

[BibT_eX]

[DOI]

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

2023

Multi-center federated learning: clients clustering for better personalization.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Curriculum Learning: from Human Strategies to Learning Dynamics

[BibT_eX]

[DOI]

PhD thesis, 2023

Good Questions Help Zero-Shot Image Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Do text-free diffusion models learn discriminative visual representations?

[BibT_eX]

[DOI]

CoRR, 2023

AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image.

[BibT_eX]

[DOI]

CoRR, 2023

HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models.

[BibT_eX]

[DOI]

CoRR, 2023

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.

[BibT_eX]

[DOI]

CoRR, 2023

MerA: Merging Pretrained Adapters For Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models Beat GANs on Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Taming Small-sample Bias in Low-budget Active Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Condensed Prototype Replay for Class Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation.

[BibT_eX]

[DOI]

Davit Soselia

Khalid Saifullah

CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.

[BibT_eX]

[DOI]

CoRR, 2023

Graph-guided Personalization for Federated Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Strong Zero-Shot Retriever.

[BibT_eX]

[DOI]

CoRR, 2023

When do you need Chain-of-Thought Prompting for ChatGPT?

[BibT_eX]

[DOI]

CoRR, 2023

Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks.

[BibT_eX]

[DOI]

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

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.

[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

Structured Federated Learning through Clustered Additive Modeling.

[BibT_eX]

[DOI]

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

Dual Personalization on Federated Recommendation.

[BibT_eX]

[DOI]

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

Does Continual Learning Equally Forget All Parameters?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Continual Task Allocation in Meta-Policy Network via Sparse Prompting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Structured Cooperative Learning with Graphical Model Priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

When to Learn What: Model-Adaptive Data Augmentation Curriculum.

[BibT_eX]

[DOI]

Chengkai Hou

Jieyu Zhang

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

Subclass-balancing Contrastive Learning for Long-tailed Recognition.

[BibT_eX]

[DOI]

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

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Many Demonstrations Do You Need for In-context Learning?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Extracting Local Reasoning Chains of Deep Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2022

Personalized Federated Learning With Structure.

[BibT_eX]

[DOI]

CoRR, 2022

On the Convergence of Clustered Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.

[BibT_eX]

[DOI]

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

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach.

[BibT_eX]

[DOI]

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

Retrospective Adversarial Replay for Continual Learning.

[BibT_eX]

[DOI]

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

Phrase-level Textual Adversarial Attack with Label Preservation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Personalized Federated Learning With a Graph.

[BibT_eX]

[DOI]

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

Identity-Disentangled Adversarial Augmentation for Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Pareto Policy Pool for Model-based Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Diverse Client Selection for Federated Learning via Submodular Maximization.

[BibT_eX]

[DOI]

Ravikumar Balakrishnan

Proceedings of the Tenth International Conference on Learning Representations, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Collaborate in Decentralized Learning of Personalized Models.

[BibT_eX]

[DOI]

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

Token Dropping for Efficient BERT Pretraining.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FedProto: Federated Prototype Learning across Heterogeneous Clients.

[BibT_eX]

[DOI]

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

2021

FedProto: Federated Prototype Learning over Heterogeneous Devices.

[BibT_eX]

[DOI]

CoRR, 2021

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Class-Disentanglement and Applications in Adversarial Detection and Defense.

[BibT_eX]

[DOI]

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

Constrained Robust Submodular Partitioning.

[BibT_eX]

[DOI]

Chandrashekhar Lavania

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

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.

[BibT_eX]

[DOI]

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

Robust Curriculum Learning: from clean label detection to noisy label self-correction.

[BibT_eX]

[DOI]

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

Isometric Propagation Network for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

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

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly.

[BibT_eX]

[DOI]

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

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Curriculum Learning by Optimizing Learning Dynamics.

[BibT_eX]

[DOI]

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

2020

Multi-Center Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Semantic Triple Encoder for Fast Open-Set Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.

[BibT_eX]

[DOI]

CoRR, 2020

Conditional Self-Attention for Query-based Summarization.

[BibT_eX]

[DOI]

CoRR, 2020

Curriculum Learning by Dynamic Instance Hardness.

[BibT_eX]

[DOI]

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

Time-Consistent Self-Supervision for Semi-Supervised Learning.

[BibT_eX]

[DOI]

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

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Attribute Propagation Network for Graph Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Data Subset Selection With Imperfect Multiple Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Learning to Propagate for Graph Meta-Learning.

[BibT_eX]

[DOI]

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

Curriculum-guided Hindsight Experience Replay.

[BibT_eX]

[DOI]

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

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.

[BibT_eX]

[DOI]

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

Jumpout : Improved Dropout for Deep Neural Networks with ReLUs.

[BibT_eX]

[DOI]

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

Bias Also Matters: Bias Attribution for Deep Neural Network Explanation.

[BibT_eX]

[DOI]

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

2018

Fast Directional Self-Attention Mechanism.

[BibT_eX]

[DOI]

CoRR, 2018

Diverse Ensemble Evolution: Curriculum Data-Model Marriage.

[BibT_eX]

[DOI]

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

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.

[BibT_eX]

[DOI]

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

Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity.

[BibT_eX]

[DOI]

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

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.

[BibT_eX]

[DOI]

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

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.

[BibT_eX]

[DOI]

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

2017

Scaling Submodular Maximization via Pruned Submodularity Graphs.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Stream Clipper: Scalable Submodular Maximization on Stream.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Efficient Robust Conditional Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

2014

Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Divide-and-Conquer Learning by Anchoring a Conical Hull.

[BibT_eX]

[DOI]

Carlos Guestrin

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

Multi-task copula by sparse graph regression.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Compressed learning

[BibT_eX]

[DOI]

PhD thesis, 2013

Double Shrinking Sparse Dimension Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition.

[BibT_eX]

[DOI]

CoRR, 2013

Constrained stochastic gradient descent for large-scale least squares problem.

[BibT_eX]

[DOI]

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

k-bit Hamming compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions.

[BibT_eX]

[DOI]

Wei Bian

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Greedy Bilateral Sketch, Completion & Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Compressed labeling on distilled labelsets for multi-label learning.

[BibT_eX]

[DOI]

Xindong Wu

Mach. Learn., 2012

Multi-label Subspace Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Labelset anchored subspace ensemble (LASE) for multi-label annotation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Multimedia Retrieval, 2012

1-bit Hamming compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Bilateral random projections.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Manifold elastic net: a unified framework for sparse dimension reduction.

[BibT_eX]

[DOI]

Xindong Wu

Data Min. Knowl. Discov., 2011

Hamming Compressed Sensing

[BibT_eX]

[DOI]

CoRR, 2011

Multi-label Learning via Structured Decomposition and Group Sparsity

[BibT_eX]

[DOI]

CoRR, 2011

GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case.

[BibT_eX]

[DOI]

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

2010

Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

NESVM: A Fast Gradient Method for Support Vector Machines.

[BibT_eX]

[DOI]

Xindong Wu

Proceedings of the ICDM 2010, 2010

2009

Manifold Elastic Net for Sparse Learning.

[BibT_eX]

[DOI]