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Machine Learning
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Contrastive Learning
3,535 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
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
EMNLP 2024
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction
EMNLP 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning
EMNLP 2024
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering
EMNLP 2024
RWKV-CLIP: A Robust Vision-Language Representation Learner
EMNLP 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
EMNLP 2024
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
EMNLP 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
EMNLP 2024
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
EMNLP 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Applying Contrastive Learning to Code Vulnerability Type Classification
EMNLP 2024
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
EMNLP 2024
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
EMNLP 2024
Cluster-Norm for Unsupervised Probing of Knowledge
EMNLP 2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
EMNLP 2024
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
EMNLP 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
EMNLP 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
Revisiting Supervised Contrastive Learning for Microblog Classification
EMNLP 2024
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
EMNLP 2024
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
EMNLP 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
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