← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Inverse Problems Leveraging Pre-trained Contrastive Representations NIPS 2021
Learning to See by Looking at Noise NIPS 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NIPS 2021
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion AAAI 2021
Contrastive Transformation for Self-supervised Correspondence Learning AAAI 2021
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021
Distilling Localization for Self-Supervised Representation Learning AAAI 2021
Camera-Aware Proxies for Unsupervised Person Re-Identification AAAI 2021
Directed Graph Contrastive Learning NIPS 2021
Teaching an Active Learner with Contrastive Examples NIPS 2021
Improved Meta-Learning Training for Speaker Verification INTERSPEECH 2021
Aligned Contrastive Predictive Coding INTERSPEECH 2021
Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation CVPR 2021
Contrastive Clustering AAAI 2021
Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021
Contrastive Laplacian Eigenmaps NIPS 2021
Spatio-temporal Contrastive Domain Adaptation for Action Recognition CVPR 2021
Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021
Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning INTERSPEECH 2021
Lip to Speech Synthesis with Visual Context Attentional GAN NIPS 2021
Contrastive learning, multi-view redundancy, and linear models ALT 2021