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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
Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
AAAI 2026
AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought
AAAI 2026
From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
AAAI 2026
Test-time Prompt Intervention
AAAI 2026
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility
AAAI 2026
CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation
AAAI 2026
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
AAAI 2026
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
AAAI 2026
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
AAAI 2026
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
AAAI 2026
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
AAAI 2026
Dual-Horizon Interest Model for Unified Search and Recommendation
AAAI 2026
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading
AAAI 2026
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
AAAI 2026
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
AAAI 2026
DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF
AAAI 2026
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization
AAAI 2026
DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance
AAAI 2026
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
AAAI 2026
Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training
AAAI 2026
Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning
AAAI 2026
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs
AAAI 2026
Humans and transformer LMs: Abstraction drives language learning
EACL 2026
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