Dilip Krishnan

papers

11,803

total citations

papers (11)

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis

CVPR 2023arXiv

236

citations

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

NEURIPS 2023arXiv

210

citations

Scaling Laws of Synthetic Images for Model Training ... for Now

CVPR 2024arXiv

108

citations

Learning Vision from Models Rivals Learning Vision from Data

CVPR 2024arXiv

citations

Pyramid Adversarial Training Improves ViT Performance

CVPR 2022arXiv

citations

StyleDrop: Text-to-Image Synthesis of Any Style

NEURIPS 2023

citations

Dilip Krishnan

papers (11)

Supervised Contrastive Learning

Contrastive Multiview Coding

What Makes for Good Views for Contrastive Learning?

Rethinking Few-shot Image Classification: A Good Embedding is All You Need?

Improving CLIP Training with Language Rewrites

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Scaling Laws of Synthetic Images for Model Training ... for Now

Learning Vision from Models Rivals Learning Vision from Data

Pyramid Adversarial Training Improves ViT Performance

StyleDrop: Text-to-Image Synthesis of Any Style

papers (11)

Supervised Contrastive Learning

Contrastive Multiview Coding

What Makes for Good Views for Contrastive Learning?

Rethinking Few-shot Image Classification: A Good Embedding is All You Need?

Improving CLIP Training with Language Rewrites

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Scaling Laws of Synthetic Images for Model Training ... for Now

Learning Vision from Models Rivals Learning Vision from Data

Pyramid Adversarial Training Improves ViT Performance

StyleDrop: Text-to-Image Synthesis of Any Style