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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026
S2C: A Noise-Resistant Difference Learning Framework for Unsupervised Change Detection in VHR Remote Sensing Images AAAI 2026
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis AAAI 2026
Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images AAAI 2026
SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026
PointChain: Learning Generalizable Point Cloud Representations via Structural Chain Modeling AAAI 2026
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation AAAI 2026
Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026
Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026
Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026
Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment AAAI 2026
TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026
HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings AAAI 2026
SSL-CST: Cell Segmentation for Single-Cell Spatial Transcriptome Based on Self-Supervised Learning AAAI 2026
PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations AAAI 2026
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion AAAI 2025
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection AAAI 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025
Teach Small Models to Reason by Curriculum Distillation EMNLP 2025
CareBot: A Pioneering Full-Process Open-Source Medical Language Model AAAI 2025