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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

See, Think, Learn: A Self-Taught Multimodal Reasoner WACV 2026
Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data WACV 2026
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving WACV 2026
ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models WACV 2026
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning EACL 2026
Humans and transformer LMs: Abstraction drives language learning EACL 2026
Generative Personality Simulation via Theory-Informed Structured Interview EACL 2026
QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models EACL 2026
Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026
Harmful Factuality: LLMs Correcting What They Shouldn’t EACL 2026
Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models EACL 2026
Similar Region Search using LLMs on Spatial Feature Space EACL 2026
Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs EACL 2026
Compositional Reasoning via Joint Image and Language Decomposition EACL 2026
Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof EACL 2026
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026
RTMol: Rethinking Molecule-text Alignment in a Round-trip View AAAI 2026
From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026
Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective AAAI 2026
Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation AAAI 2026
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026
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
Text-guided Controllable Diffusion for Realistic Camouflage Images Generation AAAI 2026