Representation Learning

Learning to Ground Visual Objects for Visual Dialog EMNLP 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021 Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification ICCV 2021 Learning to Learn Graph Topologies NeurIPS 2021 Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study NAACL 2021 Learning to Rewrite for Non-Autoregressive Neural Machine Translation EMNLP 2021 Learning to Sample from Censored Markov Random Fields COLT 2021 Learning to See by Looking at Noise NeurIPS 2021 Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck NeurIPS 2021 Learning To Warp for Style Transfer CVPR 2021 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021 Learning Universal Authorship Representations EMNLP 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021 Learning with Holographic Reduced Representations NeurIPS 2021 Learning with Instance Bundles for Reading Comprehension EMNLP 2021 Learning with invariances in random features and kernel models COLT 2021 Learning with Noisy Correspondence for Cross-modal Matching NeurIPS 2021 Learning with Retrospection AAAI 2021 Learn The Big Picture: Representation Learning for Clustering ACL 2021 Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization EMNLP 2021 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Interspeech 2021 LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering CVPR 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021 Let’s Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework ICML 2021 Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically EMNLP 2021