Simon Kornblith

91 papers A* 31A 1Journal 57Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aligning machine and human visual representations across abstraction levels. Nat. Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	J	`jnl`	MAPS: Masked Attribution-based Probing of Strategies- A computational framework to align human and model explanations. CoRR Sabine Muzellec, Yousif Kashef Alghetaa, Simon Kornblith, Kohitij Kar
2025	A*	`conf`	Objective drives the consistency of representational similarity across datasets. ICML Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2024	J	`jnl`	Aligning Machine and Human Visual Representations across Abstraction Levels. CoRR Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024	A*	`conf`	Small-scale proxies for large-scale Transformer training instabilities. ICLR Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2024	J	`jnl`	Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability. CoRR Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith
2024	J	`jnl`	Training objective drives the consistency of representational similarity across datasets. CoRR Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2024	J	`jnl`	When Does Perceptual Alignment Benefit Vision Representations? CoRR Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2024	A*	`conf`	When does perceptual alignment benefit vision representations? NeurIPS Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2023	A*	`conf`	Does progress on ImageNet transfer to real-world datasets? NeurIPS Alex Fang, Simon Kornblith, Ludwig Schmidt
2023	J	`jnl`	Does progress on ImageNet transfer to real-world datasets? CoRR Alex Fang, Simon Kornblith, Ludwig Schmidt
2023	A*	`conf`	FlexiViT: One Model for All Patch Sizes. CVPR Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2023	J	`jnl`	Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? CoRR C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein
2023	J	`jnl`	Getting aligned on representational alignment. CoRR Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023	J	`jnl`	Guiding Image Captioning Models Toward More Specific Captions. CoRR Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen
2023	A*	`conf`	Guiding image captioning models toward more specific captions. ICCV Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen
2023	A*	`conf`	Human alignment of neural network representations. ICLR Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2023	A*	`conf`	Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CVPR Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
2023	A*	`conf`	Improving neural network representations using human similarity judgments. NeurIPS Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	J	`jnl`	Improving neural network representations using human similarity judgments. CoRR Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	J	`jnl`	Neither hype nor gloom do DNNs justice. CoRR Felix A. Wichmann, Simon Kornblith, Robert Geirhos
2023	A*	`conf`	On the Relationship Between Explanation and Prediction: A Causal View. ICML Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
2023	J	`jnl`	OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt
2023	J	`jnl`	Probing clustering in neural network representations. CoRR Thao Nguyen, Simon Kornblith
2023	J	`jnl`	Replacing softmax with ReLU in Vision Transformers. CoRR Mitchell Wortsman, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2023	A*	`conf`	Scaling Forward Gradient With Local Losses. ICLR Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2023	J	`jnl`	Small-scale proxies for large-scale Transformer training instabilities. CoRR Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie Everett, Alex Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2023	J	`jnl`	Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023	J	`jnl`	Synthetic Data from Diffusion Models Improves ImageNet Classification. Trans. Mach. Learn. Res. Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023	J	`jnl`	Towards Generalist Biomedical AI. CoRR Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan
2022	—	`conf`	A Study on Self-Supervised Object Detection Pretraining. ECCV Workshops (4) Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
2022	J	`jnl`	A Study on Self-Supervised Object Detection Pretraining. CoRR Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
2022	A	`conf`	Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. WACV Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
2022	J	`jnl`	Decoder Denoising Pretraining for Semantic Segmentation. CoRR Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	J	`jnl`	Decoder Denoising Pretraining for Semantic Segmentation. Trans. Mach. Learn. Res. Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	—	`conf`	Denoising Pretraining for Semantic Segmentation. CVPR Workshops Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
2022	J	`jnl`	FlexiViT: One Model for All Patch Sizes. CoRR Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2022	J	`jnl`	Gaussian-Bernoulli RBMs Without Tears. CoRR Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Human alignment of neural network representations. CoRR Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2022	J	`jnl`	Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CoRR Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
2022	J	`jnl`	Improving Dense Contrastive Learning with Dense Negative Pairs. CoRR Berk Iskender, Zhenlin Xu, Simon Kornblith, Enhung Chu, Maryam Khademi
2022	J	`jnl`	Interpretability of artificial neural network models in artificial intelligence versus neuroscience. Nat. Mac. Intell. Kohitij Kar, Simon Kornblith, Evelina Fedorenko
2022	A*	`conf`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
2022	J	`jnl`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
2022	J	`jnl`	On the Origins of the Block Structure Phenomenon in Neural Network Representations. CoRR Thao Nguyen, Maithra Raghu, Simon Kornblith
2022	J	`jnl`	On the Origins of the Block Structure Phenomenon in Neural Network Representations. Trans. Mach. Learn. Res. Thao Nguyen, Maithra Raghu, Simon Kornblith
2022	J	`jnl`	On the Relationship Between Explanation and Prediction: A Causal View. CoRR Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
2022	A*	`conf`	Patching open-vocabulary models by interpolating weights. NeurIPS Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
2022	J	`jnl`	Patching open-vocabulary models by interpolating weights. CoRR Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
2022	J	`jnl`	Robust and Efficient Medical Imaging with Self-Supervision. CoRR Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
2022	A*	`conf`	Robust fine-tuning of zero-shot models. CVPR Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
2022	J	`jnl`	Scaling Forward Gradient With Local Losses. CoRR Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2021	A*	`conf`	Big Self-Supervised Models Advance Medical Image Classification. ICCV Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	J	`jnl`	Big Self-Supervised Models Advance Medical Image Classification. CoRR Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	A*	`conf`	Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021	J	`jnl`	Do Vision Transformers See Like Convolutional Neural Networks? CoRR Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021	A*	`conf`	Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth. ICLR Thao Nguyen, Maithra Raghu, Simon Kornblith
2021	A*	`conf`	Generalised Lipschitz Regularisation Equals Distributional Robustness. ICML Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2021	A*	`conf`	Generalized Shape Metrics on Neural Representations. NeurIPS Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman
2021	J	`jnl`	Generalized Shape Metrics on Neural Representations. CoRR Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman
2021	A*	`conf`	MIST: Multiple Instance Spatial Transformer. CVPR Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi
2021	J	`jnl`	Meta-Learning to Improve Pre-Training. CoRR Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
2021	A*	`conf`	Meta-learning to Improve Pre-training. NeurIPS Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
2021	A*	`conf`	Teaching with Commentaries. ICLR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2021	A*	`conf`	Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi
2020	A*	`conf`	A Simple Framework for Contrastive Learning of Visual Representations. ICML Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	A Simple Framework for Contrastive Learning of Visual Representations. CoRR Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	A*	`conf`	Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	Big Self-Supervised Models are Strong Semi-Supervised Learners. CoRR Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. CoRR Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
2020	J	`jnl`	Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth. CoRR Thao Nguyen, Maithra Raghu, Simon Kornblith
2020	J	`jnl`	Generalised Lipschitz Regularisation Equals Distributional Robustness. CoRR Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2020	A*	`conf`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. ICML Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2020	J	`jnl`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. CoRR Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2020	J	`jnl`	Subclass Distillation. CoRR Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2020	J	`jnl`	Teaching with Commentaries. CoRR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2020	A*	`conf`	The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS Katherine L. Hermann, Ting Chen, Simon Kornblith
2020	J	`jnl`	What's in a Loss Function for Image Classification? CoRR Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi
2019	J	`jnl`	Cerberus: A Multi-headed Derenderer. CoRR Boyang Deng, Simon Kornblith, Geoffrey E. Hinton
2019	A*	`conf`	Do Better ImageNet Models Transfer Better? CVPR Simon Kornblith, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. CoRR Katherine L. Hermann, Simon Kornblith
2019	A*	`conf`	Saccader: Improving Accuracy of Hard Attention Models for Vision. NeurIPS Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le
2019	J	`jnl`	Saccader: Improving Accuracy of Hard Attention Models for Vision. CoRR Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le
2019	A*	`conf`	Similarity of Neural Network Representations Revisited. ICML Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2019	J	`jnl`	Similarity of Neural Network Representations Revisited. CoRR Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2019	J	`jnl`	When Does Label Smoothing Help? CoRR Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2019	A*	`conf`	When does label smoothing help? NeurIPS Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2018	J	`jnl`	Do Better ImageNet Models Transfer Better? CoRR Simon Kornblith, Jonathon Shlens, Quoc V. Le
2018	J	`jnl`	Domain Adaptive Transfer Learning with Specialist Models. CoRR Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang
2018	J	`jnl`	Lipschitz Networks and Distributional Robustness. CoRR Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock