representation learning

Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021 Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning CVPR 2021 Revealing the Structure of Deep Neural Networks via Convex Duality ICML 2021 Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations NeurIPS 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection AAAI 2021 Revisiting Model Stitching to Compare Neural Representations NeurIPS 2021 Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning NeurIPS 2021 RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction AAAI 2021 Robust Audio-Visual Instance Discrimination CVPR 2021 Robust Contrastive Learning Using Negative Samples with Diminished Semantics NeurIPS 2021 Robust Representation Learning via Perceptual Similarity Metrics ICML 2021 Robust Representation Learning With Feedback for Single Image Deraining CVPR 2021 RRL: Resnet as representation for Reinforcement Learning ICML 2021 SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization ICLR 2021 SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization NeurIPS 2021 Scalable Few-Shot Learning of Robust Biomedical Name Representations NAACL 2021 Scalable Rule-Based Representation Learning for Interpretable Classification NeurIPS 2021 Scalable Transfer Learning with Expert Models ICLR 2021 Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021 Scaling Effect of Self-Supervised Speech Models Interspeech 2021 Screening Gender Transfer in Neural Machine Translation EMNLP 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 Searching for Alignment in Face Recognition AAAI 2021 Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data ICCV 2021