self-supervised learning

Bootstrap Your Own Correspondences ICCV 2021 BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search ICCV 2021 Boundary-Sensitive Pre-Training for Temporal Localization in Videos ICCV 2021 Broaden Your Views for Self-Supervised Video Learning ICCV 2021 Canonical Capsules: Self-Supervised Capsules in Canonical Pose NeurIPS 2021 CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild CVPR 2021 Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? ICCV 2021 Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations NeurIPS 2021 Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization EMNLP 2021 Cascaded Multilingual Audio-Visual Learning from Videos Interspeech 2021 CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 CDS: Cross-Domain Self-Supervised Pre-Training ICCV 2021 Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021 Civil Rephrases Of Toxic Texts With Self-Supervised Transformers EACL 2021 CLAR: Contrastive Learning of Auditory Representations AISTATS 2021 Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration EACL 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021 Co2L: Contrastive Continual Learning ICCV 2021 Co-Attention for Conditioned Image Matching CVPR 2021 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining NeurIPS 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation ICLR 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021 CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences WACV 2021