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Understanding Robustness of Transformers for Image Classification


Mar 26, 2021
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit


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On the Reproducibility of Neural Network Predictions


Feb 05, 2021
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Menon, Sanjiv Kumar

* 19 pages, 7 figures 

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Improving Calibration in Deep Metric Learning With Cross-Example Softmax


Nov 17, 2020
Andreas Veit, Kimberly Wilber

* 9 pages 

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Coping with Label Shift via Distributionally Robust Optimisation


Oct 23, 2020
Jingzhao Zhang, Aditya Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra


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Long-tail learning via logit adjustment


Jul 14, 2020
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar


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Doubly-stochastic mining for heterogeneous retrieval


Apr 23, 2020
Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix Yu, Sashank J. Reddi, Sanjiv Kumar


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Why ADAM Beats SGD for Attention Models


Dec 06, 2019
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J Reddi, Sanjiv Kumar, Suvrit Sra


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How To Backdoor Federated Learning


Oct 01, 2018
Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov


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Semantic Segmentation with Scarce Data


Aug 02, 2018
Isay Katsman, Rohun Tripathi, Andreas Veit, Serge Belongie

* ICML 2018 Workshop, camera-ready version 

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Convolutional Networks with Adaptive Inference Graphs


Jul 24, 2018
Andreas Veit, Serge Belongie

* ECCV 2018 

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Learning to Evaluate Image Captioning


Jun 17, 2018
Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie

* CVPR 2018 

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Deep Learning is Robust to Massive Label Noise


Feb 26, 2018
David Rolnick, Andreas Veit, Serge Belongie, Nir Shavit


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Separating Self-Expression and Visual Content in Hashtag Supervision


Nov 27, 2017
Andreas Veit, Maximilian Nickel, Serge Belongie, Laurens van der Maaten


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Conditional Similarity Networks


Apr 10, 2017
Andreas Veit, Serge Belongie, Theofanis Karaletsos

* CVPR 2017 

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Learning From Noisy Large-Scale Datasets With Minimal Supervision


Apr 10, 2017
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie

* CVPR 2017 

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Residual Networks Behave Like Ensembles of Relatively Shallow Networks


Oct 27, 2016
Andreas Veit, Michael Wilber, Serge Belongie

* NIPS 2016 

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COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images


Jun 19, 2016
Andreas Veit, Tomas Matera, Lukas Neumann, Jiri Matas, Serge Belongie


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On Optimizing Human-Machine Task Assignments


Sep 24, 2015
Andreas Veit, Michael Wilber, Rajan Vaish, Serge Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Anurag. D. Yadav

* HCOMP 2015 Work in Progress 

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Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences


Sep 24, 2015
Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie

* ICCV 2015 

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Household Electricity Demand Forecasting -- Benchmarking State-of-the-Art Methods


Apr 01, 2014
Andreas Veit, Christoph Goebel, Rohit Tidke, Christoph Doblander, Hans-Arno Jacobsen

* Technical Report 

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