Co-occurring keywords · papers mentioning both
Papers
Robust Pre-Training by Adversarial Contrastive Learning
NeurIPS 2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
NeurIPS 2020
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
Interspeech 2020
Self-supervised Co-Training for Video Representation Learning
NeurIPS 2020
Self-Supervised Relationship Probing
NeurIPS 2020
Self-Supervised Visual Representation Learning from Hierarchical Grouping
NeurIPS 2020
Soft Contrastive Learning for Visual Localization
NeurIPS 2020
Space-Time Correspondence as a Contrastive Random Walk
NeurIPS 2020
Structure Aware Negative Sampling in Knowledge Graphs
EMNLP 2020
Supervised Contrastive Learning
NeurIPS 2020
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification
AAAI 2020
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
CoRL 2020
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection
COLING 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning
ICML 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020
Unsupervised Anomaly Detection in Parole Hearings using Language Models
EMNLP 2020
Unsupervised Learning of Dense Visual Representations
NeurIPS 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
NeurIPS 2020
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
EMNLP 2020
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
EMNLP 2020
Unsupervised Representation Learning by Invariance Propagation
NeurIPS 2020
Unsupervised Training of Siamese Networks for Speaker Verification
Interspeech 2020
Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge
Interspeech 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
NeurIPS 2020
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020