| FILM: Following Instructions in Language with Modular Methods | 0 | 0.34 | 2022 |
| Learning Weakly-supervised Contrastive Representations | 0 | 0.34 | 2022 |
| ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers | 0 | 0.34 | 2022 |
| PACS: A Dataset for Physical Audiovisual CommonSense Reasoning. | 0 | 0.34 | 2022 |
| FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding | 0 | 0.34 | 2022 |
| Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs. | 0 | 0.34 | 2022 |
| C-Learning: Learning to Achieve Goals via Recursive Classification | 0 | 0.34 | 2021 |
| Self-supervised Representation Learning with Relative Predictive Coding. | 0 | 0.34 | 2021 |
| Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. | 0 | 0.34 | 2021 |
| HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units | 2 | 0.42 | 2021 |
| Towards Understanding And Mitigating Social Biases In Language Models | 0 | 0.34 | 2021 |
| Combining Programmable Potentials and Neural Networks for Materials Problems. | 0 | 0.34 | 2021 |
| StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer | 0 | 0.34 | 2021 |
| SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. | 0 | 0.34 | 2021 |
| From Differentiable Reasoning to Self-supervised Embodied Active Learning | 0 | 0.34 | 2021 |
| HUBERT: HOW MUCH CAN A BAD TEACHER BENEFIT ASR PRE-TRAINING? | 1 | 0.36 | 2021 |
| Robust Predictable Control. | 0 | 0.34 | 2021 |
| A Closer Look At Accuracy Vs. Robustness | 0 | 0.34 | 2020 |
| Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. | 0 | 0.34 | 2020 |
| Capsules with Inverted Dot-Product Attention Routing. | 0 | 0.34 | 2020 |
| Neural Topological SLAM for Visual Navigation | 0 | 0.34 | 2020 |
| Towards Debiasing Sentence Representations | 0 | 0.34 | 2020 |
| Exploring Controllable Text Generation Techniques | 0 | 0.34 | 2020 |
| Capsules with Inverted Dot-Product Attention Routing | 0 | 0.34 | 2020 |
| On Reward-Free Reinforcement Learning with Linear Function Approximation | 0 | 0.34 | 2020 |
| Differentiable Reasoning over a Virtual Knowledge Base. | 0 | 0.34 | 2020 |
| Object Goal Navigation using Goal-Oriented Semantic Exploration | 0 | 0.34 | 2020 |
| Learning Factorized Multimodal Representations. | 0 | 0.34 | 2019 |
| XLNet: Generalized Autoregressive Pretraining for Language Understanding. | 28 | 0.72 | 2019 |
| Mixtape: Breaking the Softmax Bottleneck Efficiently | 0 | 0.34 | 2019 |
| Learning Neural Networks with Adaptive Regularization | 0 | 0.34 | 2019 |
| Point Cloud GAN. | 0 | 0.34 | 2019 |
| Connecting the Dots Between MLE and RL for Sequence Generation. | 0 | 0.34 | 2019 |
| Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. | 0 | 0.34 | 2019 |
| Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator | 0 | 0.34 | 2019 |
| Multimodal Transformer for Unaligned Multimodal Language Sequences. | 3 | 0.41 | 2019 |
| Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph | 7 | 0.42 | 2019 |
| Concurrent Meta Reinforcement Learning. | 0 | 0.34 | 2019 |
| Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. | 0 | 0.34 | 2019 |
| Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. | 0 | 0.34 | 2019 |
| Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. | 0 | 0.34 | 2019 |
| MineRL - A Large-Scale Dataset of Minecraft Demonstrations. | 4 | 0.47 | 2019 |
| Selecting the Best in GANs Family: a Post Selection Inference Framework. | 0 | 0.34 | 2018 |
| Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. | 7 | 0.41 | 2018 |
| Style Transfer Through Back-Translation | 12 | 0.47 | 2018 |
| GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. | 4 | 0.39 | 2018 |
| Investigating the Working of Text Classifiers. | 0 | 0.34 | 2018 |
| Gated Path Planning Networks. | 3 | 0.37 | 2018 |
| Neural Map: Structured Memory for Deep Reinforcement Learning. | 0 | 0.34 | 2018 |
| Selecting the Best in GANs Family: a Post Selection Inference Framework. | 0 | 0.34 | 2018 |
