Representation Learning

Learning Graph Representation via Graph Entropy Maximization ICML 2024 Learning Group Actions on Latent Representations NeurIPS 2024 Learning Group Activity Features Through Person Attribute Prediction CVPR 2024 Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models AAAI 2024 Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences IJCAI 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding ICML 2024 Learning High-Quality and General-Purpose Phrase Representations EACL 2024 Learning Human Action Representations from Temporal Context in Lifestyle Vlogs ACL 2024 Learning Human-like Representations to Enable Learning Human Values NeurIPS 2024 Learning Identifiable Factorized Causal Representations of Cellular Responses NeurIPS 2024 Learning Implicit Representation for Reconstructing Articulated Objects ICLR 2024 Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data IJCAI 2024 Learning in Deep Factor Graphs with Gaussian Belief Propagation ICML 2024 Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method ICML 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024 Learning Invariant Inter-pixel Correlations for Superpixel Generation AAAI 2024 Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024 Learning Job Title Representation from Job Description Aggregation Network ACL 2024 Learning Latent Dynamic Robust Representations for World Models ICML 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights WACV 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024