Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head

23 September 2023

Minh Nguyen

Papers citing "Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head"

31 / 31 papers shown

Title
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 48 92 0 18 Mar 2023
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 80 139 0 04 Jun 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 159 1,007 0 04 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 190 1,218 0 02 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 245 128 0 04 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 170 1,428 0 14 Dec 2020
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 52 144 0 11 Sep 2020
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context V. Rotemberg N. Kurtansky B. Betz‐Stablein L. Caffery E. Chousakos ... George Shih A. Stratigos P. Tschandl Jochen Weber H. Soyer 47 407 0 07 Aug 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 74 1,137 0 02 Jul 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 62 30 0 06 Apr 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 277 409 0 12 Mar 2020
On Model Evaluation under Non-constant Class Imbalance J. Brabec Tomás Komárek Vojtech Franc Lukás Machlica 31 37 0 15 Jan 2020
Adversarial Domain Adaptation with Domain Mixup Minghao Xu Jian Zhang Bingbing Ni Teng Li Chengjie Wang Qi Tian Wenjun Zhang 52 447 0 04 Dec 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 103 696 0 29 Oct 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data Xiangyu Yue Yang Zhang Sicheng Zhao Alberto L. Sangiovanni-Vincentelli Kurt Keutzer Boqing Gong OOD 58 385 0 02 Sep 2019
BCN20000: Dermoscopic Lesions in the Wild Marc Combalia Noel Codella V. Rotemberg Brian Helba Verónica Vilaplana ... Cristina Carrera Alicia Barreiro Allan Halpern S. Puig J. Malvehy 66 442 0 06 Aug 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 95 1,184 0 09 Feb 2019
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 127 507 0 13 Mar 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 56 552 0 12 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 67 323 0 01 Feb 2018
Functional Map of the World Gordon A. Christie Neil Fendley James Wilson R. Mukherjee VGen 73 391 0 21 Nov 2017
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 81 2,072 0 13 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 91 1,417 0 10 Oct 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 91 3,144 0 06 Jul 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 218 885 0 06 Nov 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,467 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 215 5,189 0 10 Feb 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 114 966 0 06 Jan 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 165 2,598 0 10 Dec 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 98 1,179 0 02 Nov 2012
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 81 607 0 27 Jun 2012