Simon Kornblith

发表

Do Better ImageNet Models Transfer Better?

Quoc V. Le, Jonathon Shlens, Simon Kornblith, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

When Does Label Smoothing Help?

Geoffrey E. Hinton, Rafael Müller, Simon Kornblith, 2019, NeurIPS.

Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe

C. Koch, R. Quiroga, I. Fried, 2008, The Journal of Neuroscience.

Geoffrey E. Hinton, Honglak Lee, Mohammad Norouzi, 2019, ICML.

Revisiting Spatial Invariance with Low-Rank Local Connectivity

Jonathon Shlens, Simon Kornblith, Prajit Ramachandran, 2020, ICML.

Cerberus : A Multiheaded Derenderer

Geoffrey E. Hinton, Simon Kornblith, Boyang Deng, 2019 .

Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory

Earl K. Miller, Roman Loonis, Simon Kornblith, 2018, Proceedings of the National Academy of Sciences.

Teaching with Commentaries

Geoffrey E. Hinton, D. Duvenaud, Simon Kornblith, 2020, ICLR.

A category-specific response to animals in the right human amygdala

C. Koch, R. Quiroga, I. Fried, 2011, Nature Neuroscience.

Persistent Single-Neuron Activity during Working Memory in the Human Medial Temporal Lobe

C. Koch, R. Quiroga, I. Fried, 2017, Current Biology.

Why Do Better Loss Functions Lead to Less Transferable Features?

Mohammad Norouzi, Simon Kornblith, Ting Chen, 2020, NeurIPS.

Scene-selective coding by single neurons in the human parahippocampal cortex

C. Koch, I. Fried, A. Kraskov, 2017, Proceedings of the National Academy of Sciences.

How thoughts arise from sights: inferotemporal and prefrontal contributions to vision

Doris Y. Tsao, Simon Kornblith, Doris Y Tsao, 2017, Current Opinion in Neurobiology.

Functional parcellation of visual cortex in humans and monkeys

Doris Y. Tsao, R. Desimone, Simon Kornblith, 2017 .

Domain Adaptive Transfer Learning

Quoc V. Le, Jiquan Ngiam, Ruoming Pang, 2018 .

Saccader: Accurate, interpretable image classification with hard attention

Quoc V. Le, Simon Kornblith, Gamaleldin F. Elsayed, 2019 .

Neural signatures of loss of consciousness and its recovery by thalamic stimulation

E. Miller, A. Bastos, Simon Kornblith, 2019, bioRxiv.

Interpretability of artificial neural network models in artificial intelligence versus neuroscience

Simon Kornblith, Evelina Fedorenko, Kohitij Kar, 2022, Nat. Mac. Intell..

Robust and Efficient Medical Imaging with Self-Supervision

Abhijit Guha Roy, Po-Hsuan Cameron Chen, Justin D Krogue, 2022, ArXiv.

Human Medial Temporal Lobe Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the

Christof Koch, Roger B. H. Tootell, Florian Mormann, 2008 .

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Ari S. Morcos, Ali Farhadi, Y. Carmon, 2022, ICML.

Robust and Efficient Medical Imaging with Self-Supervision

David J. Fleet, Geoffrey E. Hinton, Abhijit Guha Roy, 2022, ArXiv.

Scaling Forward Gradient With Local Losses

Mengye Ren, Renjie Liao, Simon Kornblith, 2022, ArXiv.

Patching open-vocabulary models by interpolating weights

Ali Farhadi, S. Song, Gabriel Ilharco, 2022, NeurIPS.

Denoising Pretraining for Semantic Segmentation

Emmanuel Asiedu Brempong, Mohammad Norouzi, Niki Parmar, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Improving Dense Contrastive Learning with Dense Negative Pairs

Simon Kornblith, M. Khademi, Zhenlin Xu, 2022, ArXiv.

Human alignment of neural network representations

Robert A. Vandermeulen, Simon Kornblith, Lukas Muttenthaler, 2022, ArXiv.

Human alignment of neural network representations

Robert A. Vandermeulen, Simon Kornblith, Lukas Muttenthaler, 2022, ArXiv.

A Study on Self-Supervised Object Detection Pretraining

Simon Kornblith, M. Khademi, Peter Chin, 2022, ECCV Workshops.

Does progress on ImageNet transfer to real-world datasets?

Alexander W. Fang, Simon Kornblith, Ludwig Schmidt, 2023, Neural Information Processing Systems.

Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Katherine L. Hermann, Simon Kornblith, 2019, ArXiv.

Interhemispheric transfer of working memories

Simon Kornblith, S. Brincat, Jacob Donoghue, 2020, Neuron.

A Network for Scene Processing in the Macaque Temporal Lobe

Xueqi Cheng, Doris Y. Tsao, Shay Ohayon, 2013, Neuron.

A Simple Framework for Contrastive Learning of Visual Representations pdf

Geoffrey E. Hinton, Mohammad Norouzi, Ting Chen, 2020, ICML.

Big Self-Supervised Models are Strong Semi-Supervised Learners pdf

Geoffrey E. Hinton, Mohammad Norouzi, Ting Chen, 2020, NeurIPS.

Do Vision Transformers See Like Convolutional Neural Networks?

A. Dosovitskiy, Thomas Unterthiner, Simon Kornblith, 2021, NeurIPS.

Big Self-Supervised Models Advance Medical Image Classification pdf

Shekoofeh Azizi, Mohammad Norouzi, Ting Chen, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Saccader: Improving Accuracy of Hard Attention Models for Vision

Quoc V. Le, Gamaleldin F. Elsayed, Simon Kornblith, 2019, NeurIPS.

Scaling Forward Gradient With Local Losses

Geoffrey E. Hinton, Mengye Ren, Renjie Liao, 2022, ICLR.

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Ting Chen, Simon Kornblith, Katherine L. Hermann, 2019, NeurIPS.

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth pdf

Thao Nguyen, Simon Kornblith, Maithra Raghu, 2020, ICLR.

On the Relationship Between Explanation and Prediction: A Causal View

Simon Kornblith, B. Scholkopf, Krikamol Muandet, 2022, ArXiv.

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

Matthew R. Walter, M. Maire, Simon Kornblith, 2020, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Decoder Denoising Pretraining for Semantic Segmentation

Mohammad Norouzi, Niki Parmar, Simon Kornblith, 2022, Trans. Mach. Learn. Res..

Generalised Lipschitz Regularisation Equals Distributional Robustness pdf

Richard Nock, Xinhua Zhang, Zhan Shi, 2020, ICML.

Lipschitz Networks and Distributional Robustness pdf

Richard Nock, Zhan Shi, Simon Kornblith, 2018, ArXiv.

Domain Adaptive Transfer Learning with Specialist Models pdf

Quoc V. Le, Jiquan Ngiam, Ruoming Pang, 2018, ArXiv.

FlexiViT: One Model for All Patch Sizes

Ibrahim M. Alabdulmohsin, M. Tschannen, Simon Kornblith, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Generalized Shape Metrics on Neural Representations pdf

Scott W. Linderman, Alex H. Williams, Erin Kunz, 2021, NeurIPS.

Hyperbolic Contrastive Learning for Visual Representations beyond Objects

Shlok Kumar Mishra, Simon Kornblith, Songwei Ge, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MIST: Multiple Instance Spatial Transformer

Andrea Tagliasacchi, Kwang Moo Yi, Simon Kornblith, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Stimulus Load and Oscillatory Activity in Higher Cortex.

Simon Kornblith, Earl K Miller, Timothy J Buschman, 2015, Cerebral cortex.

Improving neural network representations using human similarity judgments

Andrew Kyle Lampinen, Robert A. Vandermeulen, Katherine L. Hermann, 2023, 2306.04507.

Human alignment of neural network representations

Robert A. Vandermeulen, Simon Kornblith, Lukas Muttenthaler, 2022, ICLR.

Functional architecture of cerebral cortex during naturalistic movie-watching

R. Desimone, J. Duncan, Simon Kornblith, 2022, bioRxiv.

Spiking and oscillatory correlates of visual short-term memory for multiple items

Simon Kornblith, Simon Kornblith, 2017 .

Custom-fit radiolucent cranial implants for neurophysiological recording and stimulation

Robert Desimone, N. P. Bichot, Jitendra Sharma, 2014, Journal of Neuroscience Methods.

Patching open-vocabulary models by interpolating weights

Ali Farhadi, S. Song, Gabriel Ilharco, 2022, Neural Information Processing Systems.

Gaussian-Bernoulli RBMs Without Tears

David J. Fleet, Geoffrey E. Hinton, Mengye Ren, 2022, ArXiv.

On the Origins of the Block Structure Phenomenon in Neural Network Representations

Simon Kornblith, M. Raghu, Thao Nguyen, 2022, Trans. Mach. Learn. Res..

Meta-Learning to Improve Pre-Training pdf

David Duvenaud, Matthew McDermott, Aniruddh Raghu, 2021, NeurIPS.

Subclass Distillation

Geoffrey E. Hinton, Simon Kornblith, Rafael Müller, 2020, ArXiv.

Interpretability of artificial neural network models in artificial intelligence versus neuroscience

Simon Kornblith, Evelina Fedorenko, Kohitij Kar, 2022, Nat. Mac. Intell..

Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe

C. Koch, R. Quiroga, I. Fried, 2008, The Journal of Neuroscience.

Improving neural network representations using human similarity judgments

Andrew Kyle Lampinen, Robert A. Vandermeulen, Katherine L. Hermann, 2023, NeurIPS.

On the Relationship Between Explanation and Prediction: A Causal View

Simon Kornblith, Krikamol Muandet, Amir-Hossein Karimi, 2022, ICML.

Big Self-Supervised Models Advance Medical Image Classification pdf

Mohammad Norouzi, Ting Chen, Shekoofeh Azizi, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Simon Kornblith, Katherine L. Hermann, Ting Chen, 2019, NeurIPS.

A Simple Framework for Contrastive Learning of Visual Representations

Geoffrey E. Hinton, Mohammad Norouzi, Simon Kornblith, 2020, ICML.