Self-Supervised Learning
8,965 papers
Papers per year
8
8
9
9
12
8
15
13
13
19
37
99
207
425
704
1,138
1,221
1,651
1,597
1,447
325
'10
'15
'20
'25
Papers
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
IJCAI 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
ICML 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
ICLR 2025
Time-to-Event Pretraining for 3D Medical Imaging
ICLR 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
AAAI 2025
TIPS: Text-Image Pretraining with Spatial awareness
ICLR 2025
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
ICLR 2025
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
ACL 2025
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
AAAI 2025
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
EMNLP 2025
Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models
Interspeech 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
AAAI 2025
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs
IJCAI 2025
Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
CVPR 2025
Toward Causal Generative Modeling: From Representation to Generation
AAAI 2025
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
ICLR 2025
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
ACL 2025
Towards Calibrated Deep Clustering Network
ICLR 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
IJCAI 2025
Towards Efficient General Feature Prediction in Masked Skeleton Modeling
ICCV 2025
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
ICLR 2025
Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
CVPR 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
Towards Learning to Complete Anything in Lidar
ICML 2025