| DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions | Jun 19, 2021 | Learning with noisy labelsMemorization | CodeCode Available | 1 |
| Antipodes of Label Differential Privacy: PATE and ALIBI | Jun 7, 2021 | Bayesian InferenceMemorization | CodeCode Available | 1 |
| Exploring Memorization in Adversarial Training | Jun 3, 2021 | Memorization | CodeCode Available | 1 |
| Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution | Jun 3, 2021 | Abstractive Text SummarizationDecoder | CodeCode Available | 1 |
| Learning to Generate Novel Scene Compositions from Single Images and Videos | May 12, 2021 | DiversityMemorization | CodeCode Available | 1 |
| Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels | Mar 25, 2021 | Image ClassificationLearning with noisy labels | CodeCode Available | 1 |
| Generating Novel Scene Compositions from Single Images and Videos | Mar 24, 2021 | DiversityImage Generation | CodeCode Available | 1 |
| Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification | Feb 11, 2021 | Autonomous VehiclesDriver Identification | CodeCode Available | 1 |
| Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets | Jan 19, 2021 | Data AugmentationHyperspectral Image Super-Resolution | CodeCode Available | 1 |
| Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection | Jan 1, 2021 | Common Sense ReasoningGraph Generation | CodeCode Available | 1 |
| Multi-Objective Interpolation Training for Robustness to Label Noise | Dec 8, 2020 | Contrastive LearningImage Classification | CodeCode Available | 1 |
| SuperLoss: A Generic Loss for Robust Curriculum Learning | Dec 1, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting | Nov 12, 2020 | Memorization | CodeCode Available | 1 |
| Learning from Context or Names? An Empirical Study on Neural Relation Extraction | Oct 5, 2020 | MemorizationRelation | CodeCode Available | 1 |
| What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation | Aug 9, 2020 | Memorization | CodeCode Available | 1 |
| Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets | Aug 6, 2020 | MemorizationOpen-Domain Question Answering | CodeCode Available | 1 |
| Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation | Jul 1, 2020 | Graph EmbeddingKnowledge Graph Embedding | CodeCode Available | 1 |
| Early-Learning Regularization Prevents Memorization of Noisy Labels | Jun 30, 2020 | General ClassificationImage Classification | CodeCode Available | 1 |
| Are Pretrained Language Models Symbolic Reasoners Over Knowledge? | Jun 18, 2020 | Memorization | CodeCode Available | 1 |
| Eicient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation | May 19, 2020 | MemorizationRecommendation Systems | CodeCode Available | 1 |
| Zero-Shot Compositional Policy Learning via Language Grounding | Apr 15, 2020 | DescriptiveDomain Adaptation | CodeCode Available | 1 |
| Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors | Apr 14, 2020 | 3D ReconstructionDecoder | CodeCode Available | 1 |
| State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesis | Mar 5, 2020 | Data AugmentationMemorization | CodeCode Available | 1 |
| 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 |
