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Methodology
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Machine Learning
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Contrastive Learning
3535 directly classified papers
Papers per year
2011: 1
2013: 1
2014: 1
2017: 3
2018: 10
2019: 26
2020: 88
2021: 394
2022: 627
2023: 852
2024: 698
2025: 616
2026: 218
Papers
Addressing Leakage in Self-Supervised Contextualized Code Retrieval
COLING 2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
COLING 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling
COLING 2022
Whodunit? Learning to Contrast for Authorship Attribution
IJCNLP 2022
Fine-grained Contrastive Learning for Definition Generation
IJCNLP 2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling
IJCNLP 2022
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media
ACL 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
IJCNLP 2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
ACL 2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
NAACL 2022
Decision-Focused Learning: Through the Lens of Learning to Rank
ICML 2022
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning
IJCAI 2022
Attributed Graph Clustering with Dual Redundancy Reduction
IJCAI 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need?
IJCAI 2022
Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification
IJCAI 2022
Learning from Counterfactual Links for Link Prediction
ICML 2022
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction
COLING 2022
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing
COLING 2022
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
EMNLP 2022
Interpreting Language Models with Contrastive Explanations
EMNLP 2022
RankGen: Improving Text Generation with Large Ranking Models
EMNLP 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
EMNLP 2022
Fine-grained Contrastive Learning for Relation Extraction
EMNLP 2022
Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval
EMNLP 2022
Developing Prefix-Tuning Models for Hierarchical Text Classification
EMNLP 2022
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