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Methodology
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Machine Learning
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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
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
NIPS 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization
COLING 2024
Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines
COLING 2024
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
COLING 2024
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization
COLING 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
EMNLP 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
COLING 2024
Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs
COLING 2024
Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation
COLING 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Order-Independence Without Fine Tuning
NIPS 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising
COLING 2024
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
CVPR 2024
MAFA: Managing False Negatives for Vision-Language Pre-training
CVPR 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
Learning to Rank Patches for Unbiased Image Redundancy Reduction
CVPR 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
NIPS 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
CVPR 2024
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification
COLING 2024
STAGE: Simple Text Data Augmentation by Graph Exploration
COLING 2024
SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs
WACV 2024
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