| L-Verse: Bidirectional Generation Between Image and Text | 0 | 0.34 | 2022 |
| Learning Parameterized Task Structure for Generalization to Unseen Entities. | 0 | 0.34 | 2022 |
| SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning | 0 | 0.34 | 2022 |
| Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. | 0 | 0.34 | 2022 |
| Few-shot Subgoal Planning with Language Models | 0 | 0.34 | 2022 |
| Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. | 0 | 0.34 | 2021 |
| Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. | 0 | 0.34 | 2021 |
| Text-to-Image Generation Grounded by Fine-Grained User Attention | 0 | 0.34 | 2021 |
| Pathdreamer - A World Model for Indoor Navigation. | 0 | 0.34 | 2021 |
| Evolving Reinforcement Learning Algorithms. | 0 | 0.34 | 2021 |
| Environment Generation for Zero-Shot Compositional Reinforcement Learning. | 0 | 0.34 | 2021 |
| Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning | 0 | 0.34 | 2021 |
| Why Do Better Loss Functions Lead to Less Transferable Features? | 0 | 0.34 | 2021 |
| State Entropy Maximization with Random Encoders for Efficient Exploration | 0 | 0.34 | 2021 |
| Improving Transferability of Representations via Augmentation-Aware Self-Supervision. | 0 | 0.34 | 2021 |
| Consistency Regularization for Generative Adversarial Networks | 3 | 0.37 | 2020 |
| Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning | 0 | 0.34 | 2020 |
| Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning | 0 | 0.34 | 2020 |
| How Should An Agent Practice? | 0 | 0.34 | 2020 |
| Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies | 0 | 0.34 | 2020 |
| Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning | 0 | 0.34 | 2020 |
| Predictive Information Accelerates Learning in RL | 0 | 0.34 | 2020 |
| BRPO: Batch Residual Policy Optimization | 0 | 0.34 | 2020 |
| Distilling Effective Supervision From Severe Label Noise | 1 | 0.37 | 2020 |
| Incremental Learning with Unlabeled Data in the Wild. | 1 | 0.35 | 2019 |
| Similarity of Neural Network Representations Revisited. | 2 | 0.36 | 2019 |
| SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing. | 1 | 0.38 | 2019 |
| Adversarial Defense Via Learning To Generate Diverse Attacks | 3 | 0.41 | 2019 |
| Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild | 7 | 0.49 | 2019 |
| Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. | 0 | 0.34 | 2019 |
| Diversity-Sensitive Conditional Generative Adversarial Networks. | 6 | 0.40 | 2019 |
| Robust Inference via Generative Classifiers for Handling Noisy Labels. | 1 | 0.35 | 2019 |
| Unsupervised Learning of Object Structure and Dynamics from Videos. | 1 | 0.35 | 2019 |
| Self-Imitation Learning. | 0 | 0.34 | 2018 |
| Generative Adversarial Self-Imitation Learning. | 1 | 0.35 | 2018 |
| Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. | 3 | 0.39 | 2018 |
| Near-Optimal Representation Learning for Hierarchical Reinforcement Learning. | 3 | 0.37 | 2018 |
| Learning Hierarchical Semantic Image Manipulation through Structured Representations. | 6 | 0.40 | 2018 |
| An efficient framework for learning sentence representations. | 12 | 0.51 | 2018 |
| Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies. | 1 | 0.35 | 2018 |
| Content preserving text generation with attribute controls. | 3 | 0.37 | 2018 |
| Data-Efficient Hierarchical Reinforcement Learning. | 20 | 0.61 | 2018 |
| Contingency-Aware Exploration in Reinforcement Learning. | 4 | 0.38 | 2018 |
| A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. | 13 | 0.48 | 2018 |
| Hierarchical Long-term Video Prediction without Supervision. | 6 | 0.42 | 2018 |
| Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. | 6 | 0.42 | 2018 |
| Learning Grasping Interaction with Geometry-aware 3D Representations. | 0 | 0.34 | 2017 |
| Learning to Generate Long-term Future via Hierarchical Prediction. | 38 | 0.94 | 2017 |
| Decomposing Motion and Content for Natural Video Sequence Prediction. | 57 | 1.33 | 2017 |
| Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. | 18 | 0.62 | 2017 |
