| Weak and Strong Gradient Directions: Explaining Memorization, Generalization, and Hardness of Examples at Scale | Mar 16, 2020 | Memorization | —Unverified | 0 |
| State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesis | Mar 5, 2020 | Data AugmentationMemorization | CodeCode Available | 1 |
| An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation | Feb 28, 2020 | Knowledge DistillationMemorization | —Unverified | 0 |
| Do We Need Zero Training Loss After Achieving Zero Training Error? | Feb 20, 2020 | Memorization | CodeCode Available | 1 |
| Improving Generalization by Controlling Label-Noise Information in Neural Network Weights | Feb 19, 2020 | Data AugmentationGeneralization Bounds | CodeCode Available | 1 |
| Learning Not to Learn in the Presence of Noisy Labels | Feb 16, 2020 | Memorizationtext-classification | —Unverified | 0 |
| Self-Attentive Associative Memory | Feb 10, 2020 | DiversityMemorization | CodeCode Available | 1 |
| A Corrective View of Neural Networks: Representation, Memorization and Learning | Feb 1, 2020 | Memorization | —Unverified | 0 |
| Encoding-based Memory Modules for Recurrent Neural Networks | Jan 31, 2020 | Memorization | —Unverified | 0 |
| EgoMap: Projective mapping and structured egocentric memory for Deep RL | Jan 24, 2020 | Deep Reinforcement LearningMemorization | —Unverified | 0 |
