Simon Kornblith
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Objective drives the consistency of representational similarity across datasets. | Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler |
| 2024 | ICLR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Hyperbolic Contrastive Learning for Visual Representations beyond Objects. | Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs |
| 2023 | ICCV | Guiding image captioning models toward more specific captions. | Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen |
| 2023 | ICLR | Human alignment of neural network representations. | Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith |
| 2023 | ICLR | Scaling Forward Gradient With Local Losses. | Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton |
| 2023 | ICML | On the Relationship Between Explanation and Prediction: A Causal View. | Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schlkopf, Been Kim |
| 2022 | CVPR | Denoising Pretraining for Semantic Segmentation. | Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi |
| 2022 | CVPR | 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 |
| 2022 | ECCV | A Study on Self-Supervised Object Detection Pretraining. | Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi |
| 2022 | ICML | Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. | 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 | WACV | Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. | Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi |
| 2021 | CVPR | MIST: Multiple Instance Spatial Transformer. | Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi |
| 2021 | ICCV | 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 |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Teaching with Commentaries. | Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton |
| 2021 | ICML | Generalised Lipschitz Regularisation Equals Distributional Robustness. | Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith |
| 2020 | ICML | A Simple Framework for Contrastive Learning of Visual Representations. | Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton |
| 2020 | ICML | Revisiting Spatial Invariance with Low-Rank Local Connectivity. | Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith |
| 2019 | CVPR | Do Better ImageNet Models Transfer Better? | Simon Kornblith, Jonathon Shlens, Quoc V. Le |
| 2019 | ICML | Similarity of Neural Network Representations Revisited. | Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton |