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Simon Kornblith

1

Affiliations

Affiliations

Google Reseach

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:22 PM AMS

16

papers

6,107

total citations

papers (16)

Big Self-Supervised Models are Strong Semi-Supervised Learners

NEURIPS 2020arXiv

Do Vision Transformers See Like Convolutional Neural Networks?

NEURIPS 2021arXiv

Robust Fine-Tuning of Zero-Shot Models

Big Self-Supervised Models Advance Medical Image Classification

Patching open-vocabulary models by interpolating weights

NEURIPS 2022arXiv

FlexiViT: One Model for All Patch Sizes

Generalized Shape Metrics on Neural Representations

NEURIPS 2021arXiv

Why Do Better Loss Functions Lead to Less Transferable Features?

NEURIPS 2021arXiv

Hyperbolic Contrastive Learning for Visual Representations Beyond Objects

Does progress on ImageNet transfer to real-world datasets?

NEURIPS 2023arXiv

Improving neural network representations using human similarity judgments

NEURIPS 2023arXiv

Meta-learning to Improve Pre-training

NEURIPS 2021arXiv

Guiding Image Captioning Models Toward More Specific Captions

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

NEURIPS 2020arXiv

Objective drives the consistency of representational similarity across datasets

MIST: Multiple Instance Spatial Transformer