Simon Kornblith

Simon Kornblith's AcademicInfluence.com Rankings

Simon Kornblith

Computer Science

#9905

World Rank

#10391

Historical Rank

Machine Learning

#4459

World Rank

#4509

Historical Rank

Artificial Intelligence

#4817

World Rank

#4880

Historical Rank

Database

#6859

World Rank

#7098

Historical Rank

computer-science Degrees

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Computer Science

Simon Kornblith's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Stanford University

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Simon Kornblith's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Simple Framework for Contrastive Learning of Visual Representations (2020) (8450)
Big Self-Supervised Models are Strong Semi-Supervised Learners (2020) (1319)
When Does Label Smoothing Help? (2019) (1050)
Do Better ImageNet Models Transfer Better? (2018) (894)
Similarity of Neural Network Representations Revisited (2019) (623)
Do Vision Transformers See Like Convolutional Neural Networks? (2021) (332)
Big Self-Supervised Models Advance Medical Image Classification (2021) (204)
Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe (2008) (197)
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time (2022) (174)
Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory (2018) (173)
A category-specific response to animals in the right human amygdala (2011) (144)
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks (2019) (132)
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth (2020) (129)
A Network for Scene Processing in the Macaque Temporal Lobe (2013) (113)
Domain Adaptive Transfer Learning with Specialist Models (2018) (89)
Persistent Single-Neuron Activity during Working Memory in the Human Medial Temporal Lobe (2017) (82)
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation (2020) (60)
Stimulus Load and Oscillatory Activity in Higher Cortex. (2015) (57)
Saccader: Improving Accuracy of Hard Attention Models for Vision (2019) (50)
Why Do Better Loss Functions Lead to Less Transferable Features? (2020) (39)
Scene-selective coding by single neurons in the human parahippocampal cortex (2017) (35)
Custom-fit radiolucent cranial implants for neurophysiological recording and stimulation (2014) (28)
Revisiting Spatial Invariance with Low-Rank Local Connectivity (2020) (25)
Patching open-vocabulary models by interpolating weights (2022) (25)
Teaching with Commentaries (2020) (19)
Subclass Distillation (2020) (19)
Robust and Efficient Medical Imaging with Self-Supervision (2022) (18)
How thoughts arise from sights: inferotemporal and prefrontal contributions to vision (2017) (18)
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks (2019) (18)
Denoising Pretraining for Semantic Segmentation (2022) (15)
Generalized Shape Metrics on Neural Representations (2021) (14)
Interhemispheric transfer of working memories (2020) (12)
Meta-Learning to Improve Pre-Training (2021) (12)
Lipschitz Networks and Distributional Robustness (2018) (11)
What's in a Loss Function for Image Classification? (2020) (11)
Generalised Lipschitz Regularisation Equals Distributional Robustness (2020) (11)
Decoder Denoising Pretraining for Semantic Segmentation (2022) (7)
FlexiViT: One Model for All Patch Sizes (2022) (6)
MIST: Multiple Instance Spatial Transformer (2021) (5)
Cerberus: A Multi-headed Derenderer (2019) (5)
On the Origins of the Block Structure Phenomenon in Neural Network Representations (2022) (5)
Neural signatures of loss of consciousness and its recovery by thalamic stimulation (2019) (4)
Gaussian-Bernoulli RBMs Without Tears (2022) (4)
Scaling Forward Gradient With Local Losses (2022) (3)
Functional architecture of cerebral cortex during naturalistic movie-watching (2022) (3)
Human alignment of neural network representations (2022) (2)
Hyperbolic Contrastive Learning for Visual Representations beyond Objects (2022) (2)
Does progress on ImageNet transfer to real-world datasets? (2023) (2)
Saccader: Accurate, interpretable image classification with hard attention (2019) (1)
Domain Adaptive Transfer Learning (2018) (1)
A Study on Self-Supervised Object Detection Pretraining (2022) (1)
Interpretability of artificial neural network models in artificial intelligence versus neuroscience (2022) (1)
On the Relationship Between Explanation and Prediction: A Causal View (2022) (0)
Cerberus : A Multiheaded Derenderer (2019) (0)
julia: 0.4.1 bugfix release (2015) (0)
julia v0.5.0-rc2 (2016) (0)
julia: v0.4.0-rc4 (2015) (0)
Functional parcellation of human visual cortex (2014) (0)
JuliaData/DataFrames.jl: v0.21.8 (2020) (0)
julia v0.4.0-rc3 (2015) (0)
JuliaData/DataFrames.jl: v0.22.2 (2020) (0)
Functional parcellation of visual cortex in humans and monkeys (2017) (0)
0.3.0 Release Candidate 4 (2014) (0)
v0.8.3 (2014) (0)
MIST: Multiple Instance Spatial Transformer Networks (2018) (0)
julia: 0.3.8 bugfix release9 (2015) (0)
julia: v0.4.0-rc2 (2015) (0)
Release 0.3.0 (2014) (0)
Improving Dense Contrastive Learning with Dense Negative Pairs (2022) (0)
Human Medial Temporal Lobe Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the (2008) (0)
julia: 0.4.3 bugfix release (2016) (0)
julia: 0.4.2 bugfix release (2015) (0)
julia v0.5.0-rc3 (2016) (0)
julia: v0.4.0 (2015) (0)
Certifying Distributional Robustness using Lipschitz Regularisation (2019) (0)
0.3 Release Candidate 3 (2014) (0)
Spiking and oscillatory correlates of visual short-term memory for multiple items (2017) (0)
0.3 Release Candidate 2 (2014) (0)
Supplementary Material for “ Do Better ImageNet Models Transfer Better ? " (2019) (0)

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What Schools Are Affiliated With Simon Kornblith?

Simon Kornblith is affiliated with the following schools:

Stanford University

Simon Kornblith's Academic­Influence.com Rankings

Simon Kornblith's Degrees

Similar Degrees You Can Earn

Why Is Simon Kornblith Influential?

Simon Kornblith's Published Works

Published Works

What Schools Are Affiliated With Simon Kornblith?

Simon Kornblith's AcademicInfluence.com Rankings