Application Areas

Rethinking Perturbations in Encoder-Decoders for Fast Training NAACL 2021 Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective ICLR 2021 Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach CVPR 2021 Rethinking the Pruning Criteria for Convolutional Neural Network NeurIPS 2021 Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement CVPR 2021 Retiring Adult: New Datasets for Fair Machine Learning NeurIPS 2021 [RETRACTED] DMix: Distance Constrained Interpolative Mixup EMNLP 2021 [RETRACTED] Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging EMNLP 2021 Retrieval Augmentation Reduces Hallucination in Conversation EMNLP 2021 Retrieval Augmented Code Generation and Summarization EMNLP 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Revealing and Protecting Labels in Distributed Training NeurIPS 2021 Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation ICCV 2021 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021 Revisiting Batch Normalization for Improving Corruption Robustness WACV 2021 Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices AAAI 2021 Revisiting Dynamic Convolution via Matrix Decomposition ICLR 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 Revisiting Locally Supervised Learning: an Alternative to End-to-end Training ICLR 2021 Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection AAAI 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021 Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs CVPR 2021 Revisiting the Calibration of Modern Neural Networks NeurIPS 2021