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Flatness Improves Backbone Generalisation in Few-shot Classification

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024

11 April 2024

Arno Solin

Papers citing "Flatness Improves Backbone Generalisation in Few-shot Classification"

38 / 38 papers shown

Title
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Edouard Grave Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 974 5,637 0 14 Apr 2023
Sharpness-Aware Gradient Matching for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 158 136 0 18 Mar 2023
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023 Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 196 69 0 28 Jan 2023
SAM as an Optimal Relaxation of BayesInternational Conference on Learning Representations (ICLR), 2022 Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 188 39 0 04 Oct 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a DifferenceComputer Vision and Pattern Recognition (CVPR), 2022 S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 188 231 0 15 Apr 2022
Scalable Diverse Model Selection for Accessible Transfer LearningNeural Information Processing Systems (NeurIPS), 2021 Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 171 53 0 12 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat MinimaNeural Information Processing Systems (NeurIPS), 2021 Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 321 185 0 30 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 375 116 0 16 Oct 2021
Cross-domain Few-shot Learning with Task-specific AdaptersComputer Vision and Pattern Recognition (CVPR), 2021 Weihong Li Xialei Liu Hakan Bilen OOD 310 140 0 01 Jul 2021
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021 J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 1.5K 14,676 0 17 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsInternational Conference on Learning Representations (ICLR), 2021 Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 277 370 0 03 Jun 2021
Learning a Universal Template for Few-shot Dataset GeneralizationInternational Conference on Machine Learning (ICML), 2021 Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 183 109 0 14 May 2021
Universal Representation Learning from Multiple Domains for Few-shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021 Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 185 108 0 25 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2021 Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 296 348 0 23 Feb 2021
SWAD: Domain Generalization by Seeking Flat MinimaNeural Information Processing Systems (NeurIPS), 2021 Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 560 532 0 17 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 1.2K 53,374 0 22 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving GeneralizationInternational Conference on Learning Representations (ICLR), 2020 Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 598 1,621 0 03 Oct 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 311 140 0 21 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank Wood VLM SSL 503 60 0 17 Jun 2020
Improved Few-Shot Visual ClassificationComputer Vision and Pattern Recognition (CVPR), 2019 Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 272 259 0 07 Dec 2019
Fantastic Generalization Measures and Where to Find ThemInternational Conference on Learning Representations (ICLR), 2019 Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 357 667 0 04 Dec 2019
A Baseline for Few-Shot Image ClassificationInternational Conference on Learning Representations (ICLR), 2019 Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 429 624 0 06 Sep 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesNeural Information Processing Systems (NeurIPS), 2019 James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 151 260 0 18 Jun 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 408 1,970 0 10 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 348 1,904 0 08 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 426 665 0 07 Mar 2019
Averaging Weights Leads to Wider Optima and Better GeneralizationConference on Uncertainty in Artificial Intelligence (UAI), 2018 Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 447 1,859 0 14 Mar 2018
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 346 880 0 31 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 543 9,137 0 15 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 341 825 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 1.5K 13,278 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 1.1K 3,186 0 15 Sep 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 972 7,946 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.5K 214,123 0 10 Dec 2015
How transferable are features in deep neural networks?Neural Information Processing Systems (NeurIPS), 2014 J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 552 8,842 0 06 Nov 2014
Microsoft COCO: Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2014 Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 10.3K 48,753 0 01 May 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 498 3,167 0 14 Nov 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 577 2,635 0 21 Jun 2013