When does Bias Transfer in Transfer Learning?

6 July 2022

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Papers citing "When does Bias Transfer in Transfer Learning?"

31 / 31 papers shown

Title
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning Manu Gaur Darshan Singh Makarand Tapaswi 432 1 0 04 Sep 2024
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 84 42 0 07 Jun 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 78 119 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 972 29,810 0 26 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 126 102 0 18 Jan 2021
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 91 425 0 16 Jul 2020
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification Francisco Utrera Evan Kravitz N. Benjamin Erichson Rekha Khanna Michael W. Mahoney GAN 62 33 0 11 Jul 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 143 387 0 17 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 880 42,379 0 28 May 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 63 109 0 09 Jan 2020
Self-Driving Car Steering Angle Prediction Based on Image Recognition Shuyang Du Haoli Guo Andrew Simpson LLMSV 55 87 0 11 Dec 2019
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 74 389 0 05 Dec 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 133 2,673 0 29 Nov 2018
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis Albert Reuther J. Kepner Chansup Byun S. Samsi William Arcand ... J. Mullen Andrew Prout Antonio Rosa Charles Yee Peter Michaleas LRM ReLM 395 283 0 20 Jul 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 170 1,329 0 23 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 205 1,370 0 02 May 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 130 1,782 0 22 Aug 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 207 2,406 0 10 Jul 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 114 758 0 09 Jun 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 174 2,540 0 05 May 2017
Object Recognition with and without Objects Zhuotun Zhu Lingxi Xie Alan Yuille OCL ObjD 111 81 0 20 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 267 18,267 0 02 Jun 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 179 5,642 0 20 May 2016
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping Sang Michael Xie Neal Jean Marshall Burke David B. Lobell Stefano Ermon 64 432 0 01 Oct 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 531 62,377 0 04 Jun 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 432 43,814 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 291 26,217 0 11 Nov 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 126 2,271 0 21 Jun 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 122 1,596 0 27 Jun 2012