Sharpness-Aware Minimization for Efficiently Improving Generalization

3 October 2020

Papers citing "Sharpness-Aware Minimization for Efficiently Improving Generalization"

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Title
Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee Cédric Renggli Luka Rimanic Nora Hollenstein Ce Zhang 9 10 0 30 Aug 2021
Partial Domain Adaptation without Domain Alignment Weikai Li Songcan Chen 16 13 0 29 Aug 2021
Bridged Adversarial Training Hoki Kim Woojin Lee Sungyoon Lee Jaewook Lee AAML GAN 11 9 0 25 Aug 2021
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems K. Prokofiev V. Sovrasov 3DH 19 2 0 16 Aug 2021
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability Roman Levin Manli Shu Eitan Borgnia Furong Huang Micah Goldblum Tom Goldstein FAtt AAML 14 10 0 03 Aug 2021
Taxonomizing local versus global structure in neural network loss landscapes Yaoqing Yang Liam Hodgkinson Ryan Theisen Joe Zou Joseph E. Gonzalez K. Ramchandran Michael W. Mahoney 19 36 0 23 Jul 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences Ikko Yamane Junya Honda Florian Yger Masashi Sugiyama SSL FedML OOD 11 1 0 16 Jul 2021
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB R. Miron Cosmin Moisii Sergiu-Andrei Dinu Mihaela Breaban 11 6 0 10 Jul 2021
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 17 20 0 08 Jul 2021
Combining EfficientNet and Vision Transformers for Video Deepfake Detection D. Coccomini Nicola Messina Claudio Gennaro Fabrizio Falchi ViT 32 168 0 06 Jul 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach Frederik Trauble Julius von Kügelgen Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Peter V. Gehler 17 16 0 02 Jul 2021
ResViT: Residual vision transformers for multi-modal medical image synthesis Onat Dalmaz Mahmut Yurt Tolga Çukur ViT MedIm 32 338 0 30 Jun 2021
VOLO: Vision Outlooker for Visual Recognition Li-xin Yuan Qibin Hou Zihang Jiang Jiashi Feng Shuicheng Yan ViT 46 313 0 24 Jun 2021
Minimum sharpness: Scale-invariant parameter-robustness of neural networks Hikaru Ibayashi Takuo Hamaguchi Masaaki Imaizumi 17 5 0 23 Jun 2021
Graceful Degradation and Related Fields J. Dymond 25 4 0 21 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 26 69 0 16 Jun 2021
Label Noise SGD Provably Prefers Flat Global Minimizers Alexandru Damian Tengyu Ma Jason D. Lee NoLa 13 113 0 11 Jun 2021
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj MLT 28 6 0 10 Jun 2021
Thompson Sampling with a Mixture Prior Joey Hong B. Kveton Manzil Zaheer Mohammad Ghavamzadeh Craig Boutilier 13 12 0 10 Jun 2021
Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs Riccardo de Lutio Yihang She Stefano Dáronco Stefani A. Russo P. Brun Jan Dirk Wegner Konrad Schindler 22 21 0 07 Jun 2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen Huan Wang L. Varshney Caiming Xiong R. Socher 11 9 0 07 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 13 320 0 03 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 45 5 0 02 Jun 2021
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error Stanislav Fort Andrew Brock Razvan Pascanu Soham De Samuel L. Smith 16 31 0 27 May 2021
Using Early-Learning Regularization to Classify Real-World Noisy Data Alessio Galatolo Alfred Nilsson Roderick Karlemstrand Yineng Wang NoLa 11 1 0 27 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness Namuk Park S. Kim UQCV AAML 13 19 0 26 May 2021
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds John Y. Shin 8 5 0 23 May 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 18 12 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 17 305 0 17 May 2021
Boosting Light-Weight Depth Estimation Via Knowledge Distillation Junjie Hu Chenyou Fan Hualie Jiang Xiyue Guo Yuan Gao Xiangyong Lu Tin Lun Lam 10 26 0 13 May 2021
AdaBoost and robust one-bit compressed sensing Geoffrey Chinot Felix Kuchelmeister Matthias Löffler Sara van de Geer 29 5 0 05 May 2021
Exact Stochastic Second Order Deep Learning F. Mehouachi C. Kasmi ODL 9 0 0 08 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 19 44 0 06 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 17 41 0 02 Apr 2021
Estimating the Generalization in Deep Neural Networks via Sparsity Yang Zhao Hao Zhang 35 2 0 02 Apr 2021
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks Andrey V. Savchenko CVBM 3DH 14 128 0 31 Mar 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 25 137 0 29 Mar 2021
Can Vision Transformers Learn without Natural Images? Kodai Nakashima Hirokatsu Kataoka Asato Matsumoto K. Iwata Nakamasa Inoue ViT 20 34 0 24 Mar 2021
How to decay your learning rate Aitor Lewkowycz 28 24 0 23 Mar 2021
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning Stefan Kuhn Eda Tumer Simon Colreavy-Donnelly R. Borges 13 13 0 18 Mar 2021
UPANets: Learning from the Universal Pixel Attention Networks Ching-Hsun Tseng Shin-Jye Lee Jianxing Feng Shengzhong Mao Yuping Wu Jia-Yu Shang Mou-Chung Tseng Xiao-Jun Zeng 14 15 0 15 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 22 174 0 05 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 17 26 0 03 Mar 2021
Smoothness Analysis of Adversarial Training Sekitoshi Kanai Masanori Yamada Hiroshi Takahashi Yuki Yamanaka Yasutoshi Ida AAML 32 6 0 02 Mar 2021
Siamese Labels Auxiliary Learning Wenrui Gan Zhulin Liu C. L. P. Chen Tong Zhang 12 1 0 27 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 11 9 0 24 Feb 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 31 281 0 23 Feb 2021
The Uncanny Similarity of Recurrence and Depth Avi Schwarzschild Arjun Gupta Amin Ghiasi Micah Goldblum Tom Goldstein 23 10 0 22 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 16 85 0 20 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021