Representation Learning

VQ-Flows: Vector quantized local normalizing flows UAI 2022 VQ-T: RNN Transducers using Vector-Quantized Prediction Network States Interspeech 2022 Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography MIDL 2022 Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022 Wasserstein Iterative Networks for Barycenter Estimation NeurIPS 2022 Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 Wav2Vec-Aug: Improved self-supervised training with limited data Interspeech 2022 Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory CVPR 2022 Weakly Supervised High-Fidelity Clothing Model Generation CVPR 2022 Weakly Supervised Representation Learning with Sparse Perturbations NeurIPS 2022 Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation CVPR 2022 Weighted self Distillation for Chinese word segmentation ACL 2022 Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NeurIPS 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris NAACL 2022 What do tokens know about their characters and how do they know it? NAACL 2022 What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods NeurIPS 2022 When Does Contrastive Visual Representation Learning Work? CVPR 2022 When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes NAACL 2022 When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings NAACL 2022 Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers COLING 2022 Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NeurIPS 2022 Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit EMNLP 2022 Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective ICLR 2022