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Representation Learning

5,307 papers

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Papers

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022 Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022 VICE: Variational Interpretable Concept Embeddings NeurIPS 2022 Video Demoireing With Relation-Based Temporal Consistency CVPR 2022 Video Frame Interpolation With Transformer CVPR 2022 Virtual Augmentation Supported Contrastive Learning of Sentence Representations ACL 2022 Visual Representation Learning over Latent Domains ICLR 2022 VQ-T: RNN Transducers using Vector-Quantized Prediction Network States Interspeech 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks EMNLP 2022 Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit EMNLP 2022 Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 Why don’t people use character-level machine translation? ACL 2022 WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification Interspeech 2022 Word Order Matters When You Increase Masking EMNLP 2022 Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data AAAI 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 A Case Study of the Shortcut Effects in Visual Commonsense Reasoning AAAI 2021 A Circular-Structured Representation for Visual Emotion Distribution Learning CVPR 2021 A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space ACL 2021 A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. EMNLP 2021 AdaBins: Depth Estimation Using Adaptive Bins CVPR 2021 Adaptive Diffusion in Graph Neural Networks NeurIPS 2021 Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021