conftrace_
← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3,538 papers

Papers per year

88
616
'20
'25

Papers

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation IJCNLP 2021
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations IJCNLP 2021
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning IJCNLP 2021
Control Image Captioning Spatially and Temporally IJCNLP 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding IJCNLP 2021
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference IJCNLP 2021
Self-Guided Contrastive Learning for BERT Sentence Representations IJCNLP 2021
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning IJCNLP 2021
Lightweight Cross-Lingual Sentence Representation Learning IJCNLP 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning IJCNLP 2021
Towards User-Driven Neural Machine Translation IJCNLP 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision IJCNLP 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer IJCNLP 2021
DynaEval: Unifying Turn and Dialogue Level Evaluation IJCNLP 2021
CoSQA: 20,000+ Web Queries for Code Search and Question Answering IJCNLP 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering IJCNLP 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction IJCNLP 2021
CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning IJCNLP 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning IJCNLP 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization IJCNLP 2021
Improving Factual Consistency of Abstractive Summarization on Customer Feedback IJCNLP 2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup IJCNLP 2021
Self-Supervised Learning Based Phone-Fortified Speech Enhancement INTERSPEECH 2021
Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection INTERSPEECH 2021