Representation Learning

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation CVPR 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024 Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization NeurIPS 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning from an Infant’s Visual Experience AAAI 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 Learning Human-like Representations to Enable Learning Human Values NeurIPS 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching CVPR 2024 Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024 Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series ICML 2024 Learning predictable and robust neural representations by straightening image sequences NeurIPS 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024