Simon Kornblith

15.3k citations
31 papers · 2.8k · 3 hit papers · h-index 19

Impact in

Papers in

Simon Kornblith

30 papers receiving 2.7k citations

Simon Kornblith's Hit Papers

Robust fine-tuning of zero-shot models 2022 · 262 citations
2620+2+4Years since publication250500750

Peers

Simon Kornblith
Comparison fields: 5 of 162
  • Cognitive Neuroscience 796
  • Computer Vision and Pattern Recognition 916
  • Health Informatics 42
  • Artificial Intelligence 1.1k
  • Radiology, Nuclear Medicine and Imaging 383
Replace Neil C. Rabinowitz with:
Neil C. Rabinowitz United Kingdom
Erhardt Barth Germany
Huiguang He China
Wieland Brendel Germany
Charles F. Cadieu United States
Ha Hong United States
Y-Lan Boureau United States
Mohammed Yeasin United States
Michael Pfeiffer Switzerland
Simon Kornblith relative to Neil C. Rabinowitz United Kingdom Neil C. Rabinowitz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simon Kornblith

Since Specialization
Citations

This map shows the geographic impact of Simon Kornblith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Kornblith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Kornblith more than expected).

Fields of papers citing papers by Simon Kornblith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Kornblith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Kornblith. The network helps show where Simon Kornblith may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Kornblith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Kornblith Line = papers co-authored together Simon Kornblith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Do Better ImageNet Models Transfer Better?
Hit paper breakdown →
2019762
2
Big Self-Supervised Models Advance Medical Image Classification
Hit paper breakdown →
2021390
3
Robust fine-tuning of zero-shot models
Hit paper breakdown →
2022262
4 2018190
5 2008170
6 2011135
7 2022109
8 2013103
9 201794
10 202284
11
When does label smoothing help
201974
12 201567
13
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
202154
14 202354
15 201736
16 202132
17 202329
18 201425
19 202223
20 201714

About Simon Kornblith

Simon Kornblith is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Neural dynamics and brain function (10 papers), Domain Adaptation and Few-Shot Learning (10 papers), Memory and Neural Mechanisms (6 papers), Visual perception and processing mechanisms (5 papers), Multimodal Machine Learning Applications (5 papers), Face Recognition and Perception (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Cognitive Neuroscience (796 citations), Computer Vision and Pattern Recognition (916 citations), Health Informatics (42 citations), Artificial Intelligence (1.1k citations) and Radiology, Nuclear Medicine and Imaging (383 citations). Simon Kornblith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Quoc V. Le, Jonathon Shlens, Earl K. Miller, Christof Koch, Florian Mormann, Rodrigo Quian Quiroga, Itzhak Fried, Mohammad Norouzi, Mikael Lundqvist and Alexander Kraskov. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Current Opinion in Neurobiology and Current Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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