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Methodology
← Learning Types
Machine Learning
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Learning Types
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Self-Supervised Learning
8255 directly classified papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
AAAI 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
ICCV 2025
DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-free 3D Reconstruction
ICCV 2025
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
AAAI 2025
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
ICCV 2025
Self-Supervised Sparse Sensor Fusion for Long Range Perception
ICCV 2025
Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis
WACV 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
AAAI 2025
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
WACV 2025
STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing
WACV 2025
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
AAAI 2025
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
AAAI 2025
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
AAAI 2025
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
AAAI 2025
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
AAAI 2025
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
AAAI 2025
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
AAAI 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
AAAI 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models
AAAI 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
EMNLP 2025
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
AAAI 2025
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior
WACV 2025
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
AAAI 2025
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
AAAI 2025
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