← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Learning from Students: Online Contrastive Distillation Network for General Continual Learning IJCAI 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022
Revisiting Consistency Regularization for Deep Partial Label Learning ICML 2022
Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning IJCAI 2022
M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining CVPR 2022
Selective-Supervised Contrastive Learning With Noisy Labels CVPR 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification IJCAI 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning NIPS 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination NIPS 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NIPS 2022
Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition CVPR 2022
Proximity Enhanced Graph Neural Networks with Channel Contrast IJCAI 2022
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection EMNLP 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering EMNLP 2022
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining EMNLP 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding EMNLP 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022
Conditional Supervised Contrastive Learning for Fair Text Classification EMNLP 2022
Conversation Disentanglement with Bi-Level Contrastive Learning EMNLP 2022