Skip to content
conftrace_

Self-Supervised Learning

8,965 papers

12
19
704
1,447
'10
'15
'20
'25

Papers

Learning from Active Human Involvement through Proxy Value Propagation NeurIPS 2023 Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation ACL 2023 Learning from Children: Improving Image-Caption Pretraining via Curriculum ACL 2023 Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023 Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition ICCV 2023 Learning Geometry-Aware Representations by Sketching CVPR 2023 Learning Human Action Recognition Representations Without Real Humans NeurIPS 2023 Learning Imbalanced Data With Vision Transformers CVPR 2023 Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce CVPR 2023 Learning Instance-Specific Augmentations by Capturing Local Invariances ICML 2023 Learning Interpretable Low-dimensional Representation via Physical Symmetry NeurIPS 2023 Learning Invariant Molecular Representation in Latent Discrete Space NeurIPS 2023 Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding EMNLP 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Learning Navigational Visual Representations with Semantic Map Supervision ICCV 2023 Learning Object-Centric Dynamic Modes from Video and Emerging Properties L4DC 2023 Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision CVPR 2023 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NeurIPS 2023 Learning Pseudo-Relations for Cross-domain Semantic Segmentation ICCV 2023 Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023 Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NeurIPS 2023 Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement AAAI 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning to Compare Longitudinal Images MIDL 2023 Learning to Design Analog Circuits to Meet Threshold Specifications ICML 2023