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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
From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts
EACL 2026
Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models
EACL 2026
See, Think, Learn: A Self-Taught Multimodal Reasoner
WACV 2026
GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring
WACV 2026
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
WACV 2026
MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning
WACV 2026
Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
WACV 2026
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow
WACV 2026
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
EACL 2026
TechING: Towards Real World Technical Image Understanding via VLMs
EACL 2026
Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
WACV 2026
Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency
WACV 2026
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
WACV 2026
Test-Time Consistency in Vision Language Models
WACV 2026
Harnessing Object Grounding for Time-Sensitive Video Understanding
WACV 2026
Similar Region Search using LLMs on Spatial Feature Space
EACL 2026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
EACL 2026
Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof
EACL 2026
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
EACL 2026
Complexity-aware fine-tuning
EACL 2026
Harmful Factuality: LLMs Correcting What They Shouldn’t
EACL 2026
MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
EACL 2026
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance
WACV 2026
SAIL: Self-supervised Learning of Lighting-Invariant Representations from Real Images with Latent Diffusion
WACV 2026
CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning
EACL 2026
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