Representation Learning

WARLearn: Weather-Adaptive Representation Learning WACV 2025 Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 2025 Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation CVPR 2025 wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning IJCNLP 2025 Wavelet-based Positional Representation for Long Context ICLR 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture IJCAI 2025 Weakly-Supervised Contrastive Learning for Imprecise Class Labels ICML 2025 Weakly Supervised Video Scene Graph Generation via Natural Language Supervision ICLR 2025 Weighted Embeddings for Low-Dimensional Graph Representation AAAI 2025 Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning ACL 2025 What can Large Language Models Capture about Code Functional Equivalence? NAACL 2025 What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT CoNLL 2025 What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits ICLR 2025 What is the Best Sequence Length for BabyLM? EMNLP 2025 What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025 What Makes Large Language Models Reason in (Multi-Turn) Code Generation? ICLR 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models ICLR 2025 What should a neuron aim for? Designing local objective functions based on information theory ICLR 2025 What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization ICCV 2025 What’s in a prompt? Language models encode literary style in prompt embeddings EMNLP 2025 What to align in multimodal contrastive learning? ICLR 2025 When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity EMNLP 2025 When Bad Data Leads to Good Models ICML 2025