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Representation Learning

22,308 papers

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Papers

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization EMNLP 2024 Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions NeurIPS 2024 Hierarchical Multi-Task Learning with CTC and Recursive Operation Interspeech 2024 Hierarchical syntactic structure in human-like language models ACL 2024 Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NeurIPS 2024 Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding NeurIPS 2024 HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations EACL 2024 HiGen: Hierarchical Graph Generative Networks ICLR 2024 Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing NeurIPS 2024 High-Fidelity Modeling of Generalizable Wrinkle Deformation ECCV 2024 High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification AAAI 2024 High Rank Path Development: an approach to learning the filtration of stochastic processes NeurIPS 2024 High-Resolution Image Harmonization with Adaptive-Interval Color Transformation NeurIPS 2024 HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense retrieval NAACL 2024 HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models CVPR 2024 HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction CVPR 2024 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position ACL 2024 HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction NeurIPS 2024 Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image CVPR 2024 HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors AAAI 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection NeurIPS 2024 How connectivity structure shapes rich and lazy learning in neural circuits ICLR 2024 How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model ICML 2024 How Diffusion Models Learn to Factorize and Compose NeurIPS 2024 How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? EACL 2024