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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
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
ACL 2025
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
EMNLP 2025
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives
ACL 2025
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
AAAI 2025
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
ACL 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
Retrospective Learning from Interactions
ACL 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
EMNLP 2025
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
AAAI 2025
Pre-Training Curriculum for Multi-Token Prediction in Language Models
ACL 2025
ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy
ICCV 2025
Is linguistically-motivated data augmentation worth it?
ACL 2025
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions
NAACL 2025
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
NAACL 2025
Using Review Combination and Pseudo-Tokens for Aspect Sentiment Quad Prediction
NAACL 2025
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
NAACL 2025
GRAG: Graph Retrieval-Augmented Generation
NAACL 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation
NAACL 2025
Representation-to-Creativity (R2C): Automated Holistic Scoring Model for Essay Creativity
NAACL 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
NAACL 2025
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
NAACL 2025
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
AAAI 2025
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