Kornblith, Simon

41 publications

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine 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 O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

ICML 2025 Objective Drives the Consistency of Representational Similarity Across Datasets Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler

ICLR 2024 Small-Scale Proxies for Large-Scale Transformer Training Instabilities 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

NeurIPS 2024 When Does Perceptual Alignment Benefit Vision Representations? Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola

ICLRW 2023 Classifier-Free Guidance Makes Image Captioning Models More Descriptive Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen

NeurIPS 2023 Does Progress on ImageNet Transfer to Real-World Datasets? Alex Fang, Simon Kornblith, Ludwig Schmidt

CVPR 2023 FlexiViT: One Model for All Patch Sizes Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic

ICCV 2023 Guiding Image Captioning Models Toward More Specific Captions Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen

ICLR 2023 Human Alignment of Neural Network Representations Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

CVPR 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs

NeurIPS 2023 Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith

ICML 2023 On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim

NeurIPSW 2023 On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim

ICLR 2023 Scaling Forward Gradient with Local Losses Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey Hinton

TMLR 2023 Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet

ECCVW 2022 A Study on Self-Supervised Object Detection Pretraining Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi

WACV 2022 Boosting Contrastive Self-Supervised Learning with False Negative Cancellation Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi

TMLR 2022 Decoder Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

CVPRW 2022 Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

NeurIPSW 2022 Human Alignment of Neural Network Representations Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Simon Kornblith

ICML 2022 Model Soups: Averaging Weights of Multiple Fine-Tuned Models Improves Accuracy Without Increasing Inference Time Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre, Rebecca Roelofs, Raphael Gontijo-Lopes, Ari S Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt

TMLR 2022 On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen, Maithra Raghu, Simon Kornblith

NeurIPS 2022 Patching Open-Vocabulary Models by Interpolating Weights Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt

CVPR 2022 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

ICCV 2021 Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

NeurIPS 2021 Do Vision Transformers See like Convolutional Neural Networks? Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy

ICLR 2021 Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen, Maithra Raghu, Simon Kornblith

ICML 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith

NeurIPS 2021 Generalized Shape Metrics on Neural Representations Alex H Williams, Erin Kunz, Simon Kornblith, Scott Linderman

CVPR 2021 MIST: Multiple Instance Spatial Transformer Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi

NeurIPS 2021 Meta-Learning to Improve Pre-Training Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David K. Duvenaud

NeurIPSW 2021 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo-Lopes, Hanna Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

ICLR 2021 Teaching with Commentaries Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

NeurIPS 2021 Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi

ICML 2020 A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

NeurIPS 2020 Big Self-Supervised Models Are Strong Semi-Supervised Learners Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton

ICML 2020 Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith

NeurIPS 2020 The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine Hermann, Ting Chen, Simon Kornblith

NeurIPS 2019 Saccader: Improving Accuracy of Hard Attention Models for Vision Gamaleldin Elsayed, Simon Kornblith, Quoc V Le

ICML 2019 Similarity of Neural Network Representations Revisited Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton

NeurIPS 2019 When Does Label Smoothing Help? Rafael Müller, Simon Kornblith, Geoffrey E. Hinton