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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
High-Fidelity Lightweight Mesh Reconstruction from Point Clouds
CVPR 2025
Enhancing Graph Representation Learning with Localized Topological Features
JMLR 2025
SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
CVPR 2025
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers using MRI and PET
WACV 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
Contrastive Learning of Image Representations Guided by Spatial Relations
WACV 2025
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
WACV 2025
Detective Networks: Enhancing Disaster Recognition in Images Through Attention Shifting using Optimal Masking
WACV 2025
ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders
WACV 2025
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
WACV 2025
AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution
WACV 2025
Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices
CVPR 2025
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions
CVPR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
WACV 2025
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces
WACV 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
Diffusion-Based Particle-DETR for BEV Perception
WACV 2025
SEMU-Net: A Segmentation-Based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images
WACV 2025
The FineView Dataset:A 3D Scanned Multi-View Object Dataset of Fine-Grained Category Instances
WACV 2025
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior
WACV 2025
A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production
WACV 2025
Learning Deep Illumination-Robust Features from Multispectral Filter Array Images
WACV 2025
DDS: Decoupled Dynamic Scene-Graph Generation Network
WACV 2025
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
COLING 2025
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