Representation Learning
22,308 papers
Papers per year
2
4
3
18
4
9
65
67
82
78
102
104
142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
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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