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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
MENTOR: Human Perception-Guided Pretraining for Increased Generalization
WACV 2025
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures
ICCV 2025
Multiplex Graph Representation Learning with Homophily and Consistency
AAAI 2025
GECO: Geometrically Consistent Embedding with Lightspeed Inference
ICCV 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
AAAI 2025
Iterative Sparse Attention for Long-sequence Recommendation
AAAI 2025
TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
ICCV 2025
UniFuse: A Unified All-in-One Framework for Multi-Modal Medical Image Fusion Under Diverse Degradations and Misalignments
ICCV 2025
DDS: Decoupled Dynamic Scene-Graph Generation Network
WACV 2025
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
ICCV 2025
Zero-Shot Compositional Video Learning with Coding Rate Reduction
ICCV 2025
Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration
ICCV 2025
Activation Subspaces for Out-of-Distribution Detection
ICCV 2025
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
AAAI 2025
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation
ICCV 2025
Laboring on less labors: RPCA Paradigm for Pan-sharpening
ICCV 2025
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
AAAI 2025
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses
JMLR 2025
I2VControl: Disentangled and Unified Video Motion Synthesis Control
ICCV 2025
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
AAAI 2025
TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating
ACL 2025
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
AAAI 2025
Flow Stochastic Segmentation Networks
ICCV 2025
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
ICCV 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
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