representation learning

On the Benefits of Self-supervised Learned Speech Representations for Predicting Human Phonetic Misperceptions Interspeech 2023 On the Complexity of Bayesian Generalization ICML 2023 On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023 On the Dimensionality of Sentence Embeddings EMNLP 2023 On the duality between contrastive and non-contrastive self-supervised learning ICLR 2023 On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering CVPR 2023 On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023 On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NeurIPS 2023 On the informativeness of supervision signals UAI 2023 On the Power of Foundation Models ICML 2023 On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure AAAI 2023 On the Stepwise Nature of Self-Supervised Learning ICML 2023 On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NeurIPS 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NeurIPS 2023 Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023 Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction CVPR 2023 OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions ICCV 2023 Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics ICLR 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023 Optimizing Spca-based Continual Learning: A Theoretical Approach ICLR 2023 Ordering-based Conditions for Global Convergence of Policy Gradient Methods NeurIPS 2023 Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023 Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023