representation learning

No One Representation to Rule Them All: Overlapping Features of Training Methods ICLR 2022 No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning EMNLP 2022 No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media EMNLP 2022 Object-Category Aware Reinforcement Learning NeurIPS 2022 Omnivore: A Single Model for Many Visual Modalities CVPR 2022 On Causally Disentangled Representations AAAI 2022 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 On global convergence of ResNets: From finite to infinite width using linear parameterization NeurIPS 2022 On Incorporating Inductive Biases into VAEs ICLR 2022 On Isotropy Calibration of Transformer Models ACL 2022 On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022 Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022 On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022 On the Difficulty of Defending Self-Supervised Learning against Model Extraction ICML 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NeurIPS 2022 On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals AAAI 2022 On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022 On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications ICLR 2022 On the Generalization of Representations in Reinforcement Learning AISTATS 2022 On the Geometry of Concreteness ACL 2022 On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022 On the Integration of Self-Attention and Convolution CVPR 2022 On the Interplay between Information Loss and Operation Loss in Representations for Classification AISTATS 2022 On the Role of Neural Collapse in Transfer Learning ICLR 2022