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Showing 51–100 of 128 papers

TitleStatusHype
Self-supervised Learning of Dense Hierarchical Representations for Medical Image SegmentationCode0
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
Unsupervised Pretraining for Fact Verification by Language Model DistillationCode0
Solo-learn: A Library of Self-supervised Methods for Visual Representation LearningCode0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time SeriesCode0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?Code0
Representation Learning via Consistent Assignment of Views to ClustersCode0
Representation Learning via Consistent Assignment of Views over Random PartitionsCode0
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of ActionsCode0
Correlation between Alignment-Uniformity and Performance of Dense Contrastive RepresentationsCode0
Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATRCode0
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material ClassificationCode0
Divergence-aware Federated Self-Supervised LearningCode0
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation LearningCode0
Beyond Random Augmentations: Pretraining with Hard ViewsCode0
Learning Representations by Maximizing Mutual Information Across ViewsCode0
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's DiseaseCode0
EqCo: Equivalent Rules for Self-supervised Contrastive LearningCode0
Establishing a stronger baseline for lightweight contrastive modelsCode0
Unsupervised Visual Representation Learning via Mutual Information Regularized AssignmentCode0
Slimmable Networks for Contrastive Self-supervised LearningCode0
Self-Distilled Self-Supervised Representation LearningCode0
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation LearningCode0
M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language RepresentationCode0
MVEB: Self-Supervised Learning with Multi-View Entropy BottleneckCode0
Unsupervised Visual Representation Learning by Synchronous Momentum GroupingCode0
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillationCode0
Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?—0
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
Contrastive Self-Supervised Learning As Neural Manifold Packing—0
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers—0
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning—0
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing—0
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training—0
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods—0
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly—0
Federated Momentum Contrastive Clustering—0
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning—0
Flaky Performances when Pretraining on Relational Databases—0
Fuse Local and Global Semantics in Representation Learning—0
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations—0
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning—0
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes—0
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
SimMER: Simple Maximization of Entropy and Rank for Self-supervised Representation Learning—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
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