Self-Supervised Learning
8,965 papers
Papers per year
8
8
9
9
12
8
15
13
13
19
37
99
207
425
704
1,138
1,221
1,651
1,597
1,447
325
'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