Co-occurring keywords · papers mentioning both
Papers
XIRL: Cross-embodiment Inverse Reinforcement Learning
CoRL 2021
You Never Cluster Alone
NeurIPS 2021
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective
SemEval 2021
Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
EMNLP 2021
3D Packing for Self-Supervised Monocular Depth Estimation
CVPR 2020
3D Self-Supervised Methods for Medical Imaging
NeurIPS 2020
A critical analysis of self-supervision, or what we can learn from a single image
ICLR 2020
ActBERT: Learning Global-Local Video-Text Representations
CVPR 2020
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation
CVPR 2020
Active World Model Learning with Progress Curiosity
ICML 2020
Adaptive Dilated Network With Self-Correction Supervision for Counting
CVPR 2020
Advancing High Fidelity Identity Swapping for Forgery Detection
CVPR 2020
Adversarial Discriminative Attention for Robust Anomaly Detection
WACV 2020
Adversarial Self-Supervised Contrastive Learning
NeurIPS 2020
Adversarial Self-Supervised Data-Free Distillation for Text Classification
EMNLP 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ICLR 2020
A Mutual Information Maximization Perspective of Language Representation Learning
ICLR 2020
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels
WACV 2020
An Unsupervised Information-Theoretic Perceptual Quality Metric
NeurIPS 2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
EMNLP 2020
A Self-supervised Approach for Adversarial Robustness
CVPR 2020
A Simple Framework for Contrastive Learning of Visual Representations
ICML 2020
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
CoRL 2020
Audiovisual Correspondence Learning in Humans and Machines
Interspeech 2020
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
AAAI 2020