Representation Learning

On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training NeurIPS 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023 OpenGait: Revisiting Gait Recognition Towards Better Practicality CVPR 2023 OpenProteinSet: Training data for structural biology at scale NeurIPS 2023 Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator CVPR 2023 Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning NeurIPS 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 Operator Learning for Nonlinear Adaptive Control L4DC 2023 OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023 Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NeurIPS 2023 Optimal Transport-Guided Conditional Score-Based Diffusion Model NeurIPS 2023 Optimistic Rates for Multi-Task Representation Learning NeurIPS 2023 Optimization for Amortized Inverse Problems ICML 2023 Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023 Optimizing Mode Connectivity for Class Incremental Learning ICML 2023 Optimizing Test-Time Query Representations for Dense Retrieval ACL 2023 Ordinal Label Distribution Learning ICCV 2023 Orientation-Independent Chinese Text Recognition in Scene Images IJCAI 2023 Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations ICML 2023 Orthogonal Non-negative Tensor Factorization based Multi-view Clustering NeurIPS 2023 Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks WACV 2023 OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering CVPR 2023 OutfitTransformer: Learning Outfit Representations for Fashion Recommendation WACV 2023