Honglak Lee

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration.

[BibT_eX]

[DOI]

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

Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks.

[BibT_eX]

[DOI]

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

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents.

[BibT_eX]

[DOI]

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

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking.

[BibT_eX]

[DOI]

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

View Selection for 3D Captioning via Diffusion Ranking.

[BibT_eX]

[DOI]

Tiange Luo

Justin Johnson

Proceedings of the Computer Vision - ECCV 2024, 2024

Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning.

[BibT_eX]

[DOI]

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

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.

[BibT_eX]

[DOI]

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

Super-resolution of biomedical volumes with 2D supervision.

[BibT_eX]

[DOI]

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

Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

[BibT_eX]

[DOI]

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

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination.

[BibT_eX]

[DOI]

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

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning.

[BibT_eX]

[DOI]

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

Unsupervised Object Interaction Learning with Counterfactual Dynamics Models.

[BibT_eX]

[DOI]

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

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.

[BibT_eX]

[DOI]

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

2023

Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program.

[BibT_eX]

[DOI]

Tiange Luo

Justin Johnson

Trans. Mach. Learn. Res., 2023

MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Subtask Graph Generation from Instructional Videos.

[BibT_eX]

[DOI]

CoRR, 2023

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution.

[BibT_eX]

[DOI]

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

Fine-grained Text Style Transfer with Diffusion-Based Language Models.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation.

[BibT_eX]

[DOI]

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

Scalable 3D Captioning with Pretrained Models.

[BibT_eX]

[DOI]

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

Guide Your Agent with Adaptive Multimodal Rewards.

[BibT_eX]

[DOI]

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

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

[BibT_eX]

[DOI]

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

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.

[BibT_eX]

[DOI]

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

Combining Behaviors with the Successor Features Keyboard.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

Daniel Zoran

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

Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Go Beyond Imagination: Maximizing Episodic Reachability with World Models.

[BibT_eX]

[DOI]

Yao Fu

Run Peng

Proceedings of the International Conference on Machine Learning, 2023

Preference Transformer: Modeling Human Preferences using Transformers for RL.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Composing Task Knowledge With Modular Successor Feature Approximators.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Story Visualization by Online Text Augmentation with Context Memory.

[BibT_eX]

[DOI]

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

Lightweight Feature Encoder for Wake-Up Word Detection Based on Self-Supervised Speech Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.

[BibT_eX]

[DOI]

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

Merging Generated and Retrieved Knowledge for Open-Domain QA.

[BibT_eX]

[DOI]

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

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.

[BibT_eX]

[DOI]

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

A Picture is Worth a Thousand Words: Language Models Plan from Pixels.

[BibT_eX]

[DOI]

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

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

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

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy.

[BibT_eX]

[DOI]

Christian W. Freudiger

Daniel A. Orringer

Todd C. Hollon

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

Unsupervised Task Graph Generation from Instructional Video Transcripts.

[BibT_eX]

[DOI]

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

Few-shot Reranking for Multi-hop QA via Language Model Prompting.

[BibT_eX]

[DOI]

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

Learning Compositional Tasks from Language Instructions.

[BibT_eX]

[DOI]

Wilka Carvalho

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

Simple and Effective Synthesis of Indoor 3D Scenes.

[BibT_eX]

[DOI]

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

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.

[BibT_eX]

[DOI]

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

2022

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders.

[BibT_eX]

[DOI]

CoRR, 2022

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

CoRR, 2022

Is Continual Learning Truly Learning Representations Continually?

[BibT_eX]

[DOI]

CoRR, 2022

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.

[BibT_eX]

[DOI]

CoRR, 2022

RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects.

[BibT_eX]

[DOI]

CoRR, 2022

Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

Fast inference and transfer of compositional task structures for few-shot task generalization.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training.

[BibT_eX]

[DOI]

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

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

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

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching.

[BibT_eX]

[DOI]

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

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.

[BibT_eX]

[DOI]

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

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.

[BibT_eX]

[DOI]

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

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology.

[BibT_eX]

[DOI]

Christian W. Freudiger

Kyle Conway

Sandra Camelo-Piragua

Daniel A. Orringer

Todd C. Hollon

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

Few-shot Subgoal Planning with Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Fully Convolutional Transformer with Local-Global Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Lipschitz-constrained Unsupervised Skill Discovery.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

L-Verse: Bidirectional Generation Between Image and Text.

[BibT_eX]

[DOI]

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

Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Learning Parameterized Task Structure for Generalization to Unseen Entities.

[BibT_eX]

[DOI]

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

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks.

[BibT_eX]

[DOI]

Yijie Guo

Qiucheng Wu

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

2021

Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology.

[BibT_eX]

[DOI]

CoRR, 2021

Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Environment Generation for Learning to Navigate the Web.

[BibT_eX]

[DOI]

CoRR, 2021

Text-to-Image Generation Grounded by Fine-Grained User Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Improving Transferability of Representations via Augmentation-Aware Self-Supervision.

[BibT_eX]

[DOI]

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

Why Do Better Loss Functions Lead to Less Transferable Features?

[BibT_eX]

[DOI]

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

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

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

Environment Generation for Zero-Shot Compositional Reinforcement Learning.

[BibT_eX]

[DOI]

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

Text as Neural Operator: Image Manipulation by Text Instruction.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment.

[BibT_eX]

[DOI]

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

Learning to Weight Imperfect Demonstrations.

[BibT_eX]

[DOI]

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

Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks.

[BibT_eX]

[DOI]

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

State Entropy Maximization with Random Encoders for Efficient Exploration.

[BibT_eX]

[DOI]

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

Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

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

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning.

[BibT_eX]

[DOI]

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

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction.

[BibT_eX]

[DOI]

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

Batch Reinforcement Learning Through Continuation Method.

[BibT_eX]

[DOI]

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

Evolving Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

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

Pathdreamer: A World Model for Indoor Navigation.

[BibT_eX]

[DOI]

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

Cross-Modal Contrastive Learning for Text-to-Image Generation.

[BibT_eX]

[DOI]

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

Improved Consistency Regularization for GANs.

[BibT_eX]

[DOI]

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

2020

Few-shot Sequence Learning with Transformers.

[BibT_eX]

[DOI]

CoRR, 2020

What's in a Loss Function for Image Classification?

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.

[BibT_eX]

[DOI]

CoRR, 2020

i-Mix: A Strategy for Regularizing Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Understanding and Diagnosing Vulnerability under Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

An Ode to an ODE.

[BibT_eX]

[DOI]

Krzysztof Choromanski

Jared Quincy Davis

Valerii Likhosherstov

Xingyou Song

Jean-Jacques E. Slotine

CoRR, 2020

Time Dependence in Non-Autonomous Neural ODEs.

[BibT_eX]

[DOI]

Jared Quincy Davis

Krzysztof Choromanski

Jake Varley

Jean-Jacques E. Slotine

CoRR, 2020

CompressNet: Generative Compression at Extremely Low Bitrates.

[BibT_eX]

[DOI]

Shubham Dash

Giridharan Kumaravelu

Vijayakrishna Naganoor

Suraj Kiran Raman

Aditya Ramesh

Krzysztof Marcin Choromanski

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

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

Predictive Information Accelerates Learning in RL.

[BibT_eX]

[DOI]

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

Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards.

[BibT_eX]

[DOI]

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

Ode to an ODE.

[BibT_eX]

[DOI]

Jared Quincy Davis

Valerii Likhosherstov

Xingyou Song

Jean-Jacques E. Slotine

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

BRPO: Batch Residual Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

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

Consistency Regularization for Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies.

[BibT_eX]

[DOI]

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

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

High-Fidelity Synthesis with Disentangled Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Efficient Adversarial Training With Transferable Adversarial Examples.

[BibT_eX]

[DOI]

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

Distilling Effective Supervision From Severe Label Noise.

[BibT_eX]

[DOI]

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

How Should an Agent Practice?

[BibT_eX]

[DOI]

Janarthanan Rajendran

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

2019

Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI: Interpreting, 2019

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

IEG: Robust Neural Network Training to Tackle Severe Label Noise.

[BibT_eX]

[DOI]

CoRR, 2019

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy.

[BibT_eX]

[DOI]

CoRR, 2019

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks.

[BibT_eX]

[DOI]

CoRR, 2019

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing.

[BibT_eX]

[DOI]

CoRR, 2019

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks.

[BibT_eX]

[DOI]

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

Unsupervised learning of object structure and dynamics from videos.

[BibT_eX]

[DOI]

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

Robust Inference via Generative Classifiers for Handling Noisy Labels.

[BibT_eX]

[DOI]

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

Similarity of Neural Network Representations Revisited.

[BibT_eX]

[DOI]

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

Learning Latent Dynamics for Planning from Pixels.

[BibT_eX]

[DOI]

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

Diversity-Sensitive Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

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

Contingency-Aware Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

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

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

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

Adversarial Defense via Learning to Generate Diverse Attacks.

[BibT_eX]

[DOI]

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

Incremental Learning with Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

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

Zero-Shot Entity Linking by Reading Entity Descriptions.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Generative Adversarial Self-Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies.

[BibT_eX]

[DOI]

Sungryull Sohn

CoRR, 2018

Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies.

[BibT_eX]

[DOI]

Sungryull Sohn

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

Data-Efficient Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

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

Content preserving text generation with attribute controls.

[BibT_eX]

[DOI]

Samy Bengio

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

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.

[BibT_eX]

[DOI]

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

Learning Hierarchical Semantic Image Manipulation through Structured Representations.

[BibT_eX]

[DOI]

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

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.

[BibT_eX]

[DOI]

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

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hierarchical Long-term Video Prediction without Supervision.

[BibT_eX]

[DOI]

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

Self-Imitation Learning.

[BibT_eX]

[DOI]

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

An efficient framework for learning sentence representations.

[BibT_eX]

[DOI]

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

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.

[BibT_eX]

[DOI]

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

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Discovery of Object Landmarks as Structural Representations.

[BibT_eX]

[DOI]

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

Neural Kinematic Networks for Unsupervised Motion Retargetting.

[BibT_eX]

[DOI]

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

Hierarchical Novelty Detection for Visual Object Recognition.

[BibT_eX]

[DOI]

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

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis.

[BibT_eX]

[DOI]

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

Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.

[BibT_eX]

[DOI]

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

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Dragomir R. Radev

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

2017

Learning Grasping Interaction with Geometry-aware 3D Representations.

[BibT_eX]

[DOI]

CoRR, 2017

Value Prediction Network.

[BibT_eX]

[DOI]

Satinder Singh

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

Towards Understanding the Invertibility of Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Learning to Generate Long-term Future via Hierarchical Prediction.

[BibT_eX]

[DOI]

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

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

Decomposing Motion and Content for Natural Video Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries.

[BibT_eX]

[DOI]

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

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos.

[BibT_eX]

[DOI]

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

Exploring the structure of a real-time, arbitrary neural artistic stylization network.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Deep Variational Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Weiran Wang

Karen Livescu

CoRR, 2016

Sentence Ordering using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Dragomir R. Radev

CoRR, 2016

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision.

[BibT_eX]

[DOI]

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

Learning What and Where to Draw.

[BibT_eX]

[DOI]

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

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.

[BibT_eX]

[DOI]

Rui Zhang

Dragomir R. Radev

Proceedings of the NAACL HLT 2016, 2016

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.

[BibT_eX]

[DOI]

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

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification.

[BibT_eX]

[DOI]

Yuting Zhang

Kibok Lee

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

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units.

[BibT_eX]

[DOI]

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

Generative Adversarial Text to Image Synthesis.

[BibT_eX]

[DOI]

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

Control of Memory, Active Perception, and Action in Minecraft.

[BibT_eX]

[DOI]

Valliappa Chockalingam

Satinder Singh

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

Attribute2Image: Conditional Image Generation from Visual Attributes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network.

[BibT_eX]

[DOI]

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

Learning Deep Representations of Fine-Grained Visual Descriptions.

[BibT_eX]

[DOI]

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

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network.

[BibT_eX]

[DOI]

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

2015

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations.

[BibT_eX]

[DOI]

Yoshua Bengio

Neural Networks, 2015

Deep learning for detecting robotic grasps.

[BibT_eX]

[DOI]

Ian Lenz

Ashutosh Saxena

Int. J. Robotics Res., 2015

Training Deep Neural Networks on Noisy Labels with Bootstrapping.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis.

[BibT_eX]

[DOI]

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

Learning Structured Output Representation using Deep Conditional Generative Models.

[BibT_eX]

[DOI]

Xinchen Yan

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

Deep Visual Analogy-Making.

[BibT_eX]

[DOI]

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

Action-Conditional Video Prediction using Deep Networks in Atari Games.

[BibT_eX]

[DOI]

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

A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Evaluation of output embeddings for fine-grained image classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Zero-Shot Learning with Structured Embeddings.

[BibT_eX]

[DOI]

Zeynep Akata

Bernt Schiele

CoRR, 2014

Improved Multimodal Deep Learning with Variation of Information.

[BibT_eX]

[DOI]

Wenling Shang

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

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning.

[BibT_eX]

[DOI]

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

Learning to Disentangle Factors of Variation with Manifold Interaction.

[BibT_eX]

[DOI]

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

Structured Recurrent Temporal Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

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

2013

Guest Editors' Introduction: Special Section on Learning Deep Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising.

[BibT_eX]

[DOI]

Forest Agostinelli

Michael R. Anderson

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

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines.

[BibT_eX]

[DOI]

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

Deep learning for robust feature generation in audiovisual emotion recognition.

[BibT_eX]

[DOI]

Yelin Kim

Emily Mower Provost

Proceedings of the IEEE International Conference on Acoustics, 2013

Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling.

[BibT_eX]

[DOI]

Andrew Kae

Erik G. Learned-Miller

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Online Incremental Feature Learning with Denoising Autoencoders.

[BibT_eX]

[DOI]

Guanyu Zhou

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

Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Caoxie Zhang

Kang G. Shin

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

Efficient and Exact MAP-MRF Inference using Branch and Bound.

[BibT_eX]

[DOI]

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

Learning to Align from Scratch.

[BibT_eX]

[DOI]

Gary B. Huang

Marwan A. Mattar

Erik G. Learned-Miller

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 Invariant Representations with Local Transformations.

[BibT_eX]

[DOI]

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

An efficient branch-and-bound algorithm for optimal human pose estimation.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning hierarchical representations for face verification with convolutional deep belief networks.

[BibT_eX]

[DOI]

Gary B. Huang

Erik G. Learned-Miller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

An Analysis of Single-Layer Networks in Unsupervised Feature Learning.

[BibT_eX]

[DOI]

Adam Coates

Andrew Y. Ng

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Unsupervised learning of hierarchical representations with convolutional deep belief networks.

[BibT_eX]

[DOI]

Commun. ACM, 2011

A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.

[BibT_eX]

[DOI]

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Multimodal Deep Learning.

[BibT_eX]

[DOI]

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

Efficient learning of sparse, distributed, convolutional feature representations for object recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Unsupervised feature learning via sparse hierarchical representations.

[BibT_eX]

[DOI]

PhD thesis, 2010

An integrated machine learning approach to stroke prediction.

[BibT_eX]

[DOI]

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

2009

Unsupervised feature learning for audio classification using convolutional deep belief networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Measuring Invariances in Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exponential Family Sparse Coding with Application to Self-taught Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.

[BibT_eX]

[DOI]