representation learning

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Adaptive Universal Generalized PageRank Graph Neural Network ICLR 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adversarial Directed Graph Embedding AAAI 2021 Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion Interspeech 2021 Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification ICLR 2021 Adversarial Robustness Across Representation Spaces CVPR 2021 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Adversarial Teacher-Student Representation Learning for Domain Generalization NeurIPS 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021 Adversarial Training Reduces Information and Improves Transferability AAAI 2021 A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging EMNLP 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A Knowledge-Guided Framework for Frame Identification ACL 2021 ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity ICCV 2021 Align before Fuse: Vision and Language Representation Learning with Momentum Distillation NeurIPS 2021 Aligned Contrastive Predictive Coding Interspeech 2021 Aligning Pretraining for Detection via Object-Level Contrastive Learning NeurIPS 2021 Align Voting Behavior with Public Statements for Legislator Representation Learning ACL 2021 All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality EMNLP 2021 Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing Interspeech 2021