| One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks | Nov 21, 2020 | AllInstance Segmentation | CodeCode Available | 1 |
| A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning | Nov 20, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? | Nov 18, 2020 | AllMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL | Oct 27, 2020 | AllDiversity | CodeCode Available | 1 |
| Attention is All You Need in Speech Separation | Oct 25, 2020 | AllSpeech Separation | CodeCode Available | 1 |
| Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free | Oct 22, 2020 | All | CodeCode Available | 1 |
| One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN | Oct 21, 2020 | AllDecoder | CodeCode Available | 1 |
| Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification | Oct 19, 2020 | AllBIG-bench Machine Learning | CodeCode Available | 1 |
| SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning | Oct 16, 2020 | AllBIG-bench Machine Learning | CodeCode Available | 1 |
| Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings | Oct 3, 2020 | AllGeneral Classification | CodeCode Available | 1 |
