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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
MotionMap: Representing Multimodality in Human Pose Forecasting
CVPR 2025
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
CVPR 2025
Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets
IJCNLP 2025
Learning from Neighbors: Category Extrapolation for Long-Tail Learning
CVPR 2025
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
CVPR 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
CVPR 2025
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
CVPR 2025
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
CVPR 2025
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution
CVPR 2025
Audio-Visual Semantic Graph Network for Audio-Visual Event Localization
CVPR 2025
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
CVPR 2025
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
CVPR 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
CVPR 2025
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
CVPR 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing
CVPR 2025
Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
CVPR 2025
Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models
CVPR 2025
Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction
CVPR 2025
Black Hole-Driven Identity Absorbing in Diffusion Models
CVPR 2025
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
CVPR 2025
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss
CVPR 2025
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
CVPR 2025
Structure-Aware Correspondence Learning for Relative Pose Estimation
CVPR 2025
One2Any: One-Reference 6D Pose Estimation for Any Object
CVPR 2025
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