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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
Group-Aware Contrastive Regression for Action Quality Assessment
ICCV 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
CONLL 2021
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
INTERSPEECH 2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
NAACL 2021
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
AAAI 2021
Graph Debiased Contrastive Learning with Joint Representation Clustering
IJCAI 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling
IJCAI 2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
IJCAI 2021
Contrastive prototype learning with augmented embeddings for few-shot learning
UAI 2021
CuCo: Graph Representation with Curriculum Contrastive Learning
IJCAI 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
AAAI 2021
Staying in shape: learning invariant shape representations using contrastive learning
UAI 2021
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA
AAAI 2021
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
AAAI 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition
AAAI 2021
Contrasting distinct structured views to learn sentence embeddings
EACL 2021
Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation
IJCAI 2021
wav2vec-C: A Self-Supervised Model for Speech Representation Learning
INTERSPEECH 2021
The Zero Resource Speech Challenge 2021: Spoken Language Modelling
INTERSPEECH 2021
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification
INTERSPEECH 2021
Contrastive Self-supervised Learning for Graph Classification
AAAI 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
AAAI 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
AAAI 2021
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
AAAI 2021
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