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Machine Learning
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Self-Supervised Learning
8,255 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
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
AAAI 2024
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling
AAAI 2024
Learning Invariant Inter-pixel Correlations for Superpixel Generation
AAAI 2024
Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning
AAAI 2024
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
AAAI 2024
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
AAAI 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AAAI 2024
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point
AAAI 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
AAAI 2024
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
AAAI 2024
Learning to Pivot as a Smart Expert
AAAI 2024
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AAAI 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering
AAAI 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
Learning to Rank in Generative Retrieval
AAAI 2024
A Comprehensive Augmentation Framework for Anomaly Detection
AAAI 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
AAAI 2024
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
AAAI 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
AAAI 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
Cross-Domain Contrastive Learning for Time Series Clustering
AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
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