Representation Learning

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 Disentangled Semantic Spaces of Explanations via Invertible Neural Networks ACL 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning diverse causally emergent representations from time series data NeurIPS 2024 Learning Dynamic Multi-attribute Interest for Personalized Product Search EMNLP 2024 Learning dynamic representations of the functional connectome in neurobiological networks ICLR 2024 Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024 Learning Energy Decompositions for Partial Inference in GFlowNets ICLR 2024 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Learning from an Infant’s Visual Experience AAAI 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning from memory-based models Interspeech 2024 Learning from One Continuous Video Stream CVPR 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NeurIPS 2024 Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting AAAI 2024 Learning From Simplicial Data Based on Random Walks and 1D Convolutions ICLR 2024 Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024 Learning Gaussian DAGs from Network Data JMLR 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024 Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024