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Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness


Nov 25, 2022
Abdelrahman Zayed, Prasanna Parthasarathi, Goncalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar

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* In Proceedings of AAAI 2023 

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Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators


Nov 18, 2022
Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau

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* Preprint 

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Local Structure Matters Most in Most Languages


Nov 09, 2022
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

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Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes


Nov 09, 2022
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

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Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?


Oct 27, 2022
Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, Julien Cohen-Adad

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* Accepted at the Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop 2022 

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Improving Meta-Learning Generalization with Activation-Based Early-Stopping


Aug 03, 2022
Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar

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* Accepted at CoLLAs 2022. To be published in Proceedings of Machine Learning Research (PMLR) 

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An Introduction to Lifelong Supervised Learning


Jul 12, 2022
Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Janarthanan, Sarath Chandar

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* Lifelong Learning Primer 

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Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods


Apr 25, 2022
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen

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Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers


Feb 01, 2022
Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup

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