Simon Kornblith
Identifiers
- name variant Simon Kornblith 0.60 · backfill
Papers (53)
- Objective drives the consistency of representational similarity across datasets cs.CV · 2024 · author #5
- When Does Perceptual Alignment Benefit Vision Representations? cs.CV · 2024 · author #6
- Aligning Machine and Human Visual Representations across Abstraction Levels cs.CV · 2024 · author #5
- Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability cs.CL · 2024 · author #31
- Neither hype nor gloom do DNNs justice cs.LG · 2023 · author #2
- Probing clustering in neural network representations cs.LG · 2023 · author #2
- Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? cs.CL · 2023 · author #24
- Getting aligned on representational alignment q-bio.NC · 2023 · author #25
- Small-scale proxies for large-scale Transformer training instabilities cs.LG · 2023 · author #16
- Replacing softmax with ReLU in Vision Transformers cs.CV · 2023 · author #4
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cs.CV · 2023 · author #12
- Guiding Image Captioning Models Toward More Specific Captions cs.CV · 2023 · author #1
- Towards Generalist Biomedical AI cs.CL · 2023 · author #14
- Improving neural network representations using human similarity judgments cs.CV · 2023 · author #7
- Synthetic Data from Diffusion Models Improves ImageNet Classification cs.CV · 2023 · author #2
- Does progress on ImageNet transfer to real-world datasets? cs.CV · 2023 · author #2
- FlexiViT: One Model for All Patch Sizes cs.CV · 2022 · author #5
- On the Relationship Between Explanation and Prediction: A Causal View cs.LG · 2022 · author #3
- Hyperbolic Contrastive Learning for Visual Representations beyond Objects cs.CV · 2022 · author #3
- Human alignment of neural network representations cs.CV · 2022 · author #5
- Gaussian-Bernoulli RBMs Without Tears cs.LG · 2022 · author #2
- Improving Dense Contrastive Learning with Dense Negative Pairs cs.CV · 2022 · author #3
- Scaling Forward Gradient With Local Losses cs.LG · 2022 · author #2
- Patching open-vocabulary models by interpolating weights cs.CV · 2022 · author #6
- A Study on Self-Supervised Object Detection Pretraining cs.CV · 2022 · author #2
- Interpretability of artificial neural network models in artificial Intelligence vs. neuroscience q-bio.NC · 2022 · author #2
- Decoder Denoising Pretraining for Semantic Segmentation cs.CV · 2022 · author #2
- Robust and Efficient Medical Imaging with Self-Supervision cs.CV · 2022 · author #6
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time cs.LG · 2022 · author #10
- On the Origins of the Block Structure Phenomenon in Neural Network Representations cs.LG · 2022 · author #3
- Meta-Learning to Improve Pre-Training cs.LG · 2021 · author #3
- Generalized Shape Metrics on Neural Representations stat.ML · 2021 · author #3
- Robust fine-tuning of zero-shot models cs.CV · 2021 · author #5
- Do Vision Transformers See Like Convolutional Neural Networks? cs.CV · 2021 · author #3
- Big Self-Supervised Models Advance Medical Image Classification eess.IV · 2021 · author #9
- Boosting Contrastive Self-Supervised Learning with False Negative Cancellation cs.CV · 2020 · author #2
- Teaching with Commentaries cs.LG · 2020 · author #3
- Why Do Better Loss Functions Lead to Less Transferable Features? cs.CV · 2020 · author #1
- Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth cs.LG · 2020 · author #3
- Big Self-Supervised Models are Strong Semi-Supervised Learners cs.LG · 2020 · author #2
- A Simple Framework for Contrastive Learning of Visual Representations cs.LG · 2020 · author #2
- Generalised Lipschitz Regularisation Equals Distributional Robustness cs.LG · 2020 · author #5
- Subclass Distillation cs.LG · 2020 · author #2
- Revisiting Spatial Invariance with Low-Rank Local Connectivity cs.CV · 2020 · author #4
- The Origins and Prevalence of Texture Bias in Convolutional Neural Networks cs.CV · 2019 · author #3
- Saccader: Improving Accuracy of Hard Attention Models for Vision cs.CV · 2019 · author #2
- When Does Label Smoothing Help? cs.LG · 2019 · author #2
- Cerberus: A Multi-headed Derenderer cs.CV · 2019 · author #2
- Similarity of Neural Network Representations Revisited cs.LG · 2019 · author #1
- MIST: Multiple Instance Spatial Transformer Network cs.CV · 2018 · author #3
- Domain Adaptive Transfer Learning with Specialist Models cs.CV · 2018 · author #4
- Lipschitz Networks and Distributional Robustness stat.ML · 2018 · author #2
- Do Better ImageNet Models Transfer Better? cs.CV · 2018 · author #1
Mentions
- 2409.06509 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2411.05561 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2211.01201 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2310.13018 #25 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2410.10817 #6 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2408.07852 #31 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2206.03951 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2312.05355 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2311.07587 #24 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2311.07864 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2309.14322 #16 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2309.08586 #4 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2306.04507 #7 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2308.01390 #12 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2307.16686 #1 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2307.14334 #14 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2212.06925 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2304.08466 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2212.08013 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2210.03310 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2301.04644 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2210.05063 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2212.00653 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2210.10318 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2208.05592 #6 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2207.04186 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2205.09723 #6 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2203.05482 #10 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2109.01903 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2205.11423 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2108.08810 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2202.07184 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2110.14739 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2011.11765 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2010.16402 #1 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2111.01754 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2010.15327 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2101.05224 #9 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2011.03037 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1811.10725 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1911.09071 #3 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2006.10029 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2002.02959 #4 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2002.05709 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2002.03936 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1906.02629 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 2002.04197 #5 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1908.07644 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1905.00414 #1 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1805.08974 #1 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1905.11940 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1811.07056 #4 · arxiv_oai · confidence 0.70 Simon Kornblith
- 1809.01129 #2 · arxiv_oai · confidence 0.70 Simon Kornblith
Frequent Coauthors
- Geoffrey Hinton 10 shared papers
- Mohammad Norouzi 8 shared papers
- Ting Chen 7 shared papers
- Lukas Muttenthaler 6 shared papers
- Mitchell Wortsman 6 shared papers
- Ludwig Schmidt 5 shared papers
- Gabriel Ilharco 4 shared papers
- Jaehoon Lee 4 shared papers
- Maithra Raghu 4 shared papers
- Shekoofeh Azizi 4 shared papers
- Thao Nguyen 4 shared papers
- Alan Karthikesalingam 3 shared papers
- Ali Farhadi 3 shared papers
- Andrew K. Lampinen 3 shared papers
- Basil Mustafa 3 shared papers
- Ben Adlam 3 shared papers
- Izzeddin Gur 3 shared papers
- Jascha Sohl-Dickstein 3 shared papers
- Jeffrey Pennington 3 shared papers
- Jonas Dippel 3 shared papers