Janarthanan Rajendran

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Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.Dirección de correo verificada de polymtl.ca
Satinder SinghGoogle DeepMind / U. of MichiganDirección de correo verificada de umich.edu
Mitesh KhapraIndian Institute of Technology MadrasDirección de correo verificada de cse.iitm.ac.in
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasDirección de correo verificada de cse.iitm.ac.in
Prasanna ParthasarathiMcGill UniversityDirección de correo verificada de cs.mcgill.ca
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganDirección de correo verificada de umich.edu
Jatin GanhotraResearch Software Engineer, IBM Research AIDirección de correo verificada de illinois.edu
Vivek VeeriahGoogle DeepMindDirección de correo verificada de google.com
Rada MihalceaProfessor of Computer Science, University of MichiganDirección de correo verificada de umich.edu
Emily Mower ProvostProfessor of Computer Science, University of MichiganDirección de correo verificada de umich.edu
Laura BiesterMiddlebury CollegeDirección de correo verificada de middlebury.edu
Katie MattonPhD Student, MITDirección de correo verificada de mit.edu
Eric JangHalodi RoboticsDirección de correo verificada de halodi.com
Zhongwen XuTencentDirección de correo verificada de tencent.com
David SilverDeepMind, UCLDirección de correo verificada de google.com
Hado van HasseltResearch Scientist, DeepMind; Honorary Professor, UCLDirección de correo verificada de google.com
Matteo HesselResearch Engineer, Google DeepMindDirección de correo verificada de google.com
Junhyuk OhResearch Scientist, DeepMindDirección de correo verificada de google.com
Aravind SrinivasCofounder and CEO, Perplexity AIDirección de correo verificada de perplexity.ai
Harm van SeijenSony AIDirección de correo verificada de sony.com

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Janarthanan Rajendran

Assistant Professor, Faculty of Computer Science, Dalhousie University

Dirección de correo verificada de umich.edu - Página principal

Artificial Intelligence Machine Learning Reinforcement Learning Deep Learning NLP


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Meta-learning requires meta-augmentation J Rajendran, A Irpan, E Jang Neural Information Processing Systems (NeurIPS), 2020	114	2020
Discovery of useful questions as auxiliary tasks V Veeriah, M Hessel, Z Xu, R Lewis, J Rajendran, J Oh, H van Hasselt, ... Neural Information Processing Systems (NeurIPS), 2019	98	2019
Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran International Conference on Learning Representations (ICLR), 2017	85*	2017
Bridge correlational neural networks for multilingual multimodal representation learning J Rajendran, MM Khapra, S Chandar, B Ravindran North American Chapter of the Association of Computational Linguistics (NAACL), 2016	79	2016
Understanding the impact of COVID-19 on online mental health forums L Biester, K Matton, J Rajendran, EM Provost, R Mihalcea ACM Transactions on Management Information Systems (TMIS) 12 (4), 1-28, 2021	36	2021
Learning end-to-end goal-oriented dialog with multiple answers J Rajendran, J Ganhotra, S Singh, L Polymenakos Empirical Methods in Natural Language Processing (EMNLP), 2018	34	2018
Quantifying the effects of COVID-19 on mental health support forums L Biester, K Matton, J Rajendran, EM Provost, R Mihalcea Workshop on NLP for COVID-19 at EMNLP, 2020	28	2020
Mastering memory tasks with world models MR Samsami, A Zholus, J Rajendran, S Chandar International Conference on Learning Representations (ICLR), 2024	23	2024
An introduction to lifelong supervised learning S Sodhani, M Faramarzi, SV Mehta, P Malviya, M Abdelsalam, ... arXiv preprint arXiv:2207.04354, 2022	19	2022
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions EA Brooks, J Rajendran, RL Lewis, S Singh International Conference on Machine Learning (ICML), 2021	17	2021
Learning end-to-end goal-oriented dialog with maximal user task success and minimal human agent use J Rajendran, J Ganhotra, LC Polymenakos Transactions of the Association for Computational Linguistics (TACL) 7, 375-386, 2019	17	2019
A correlational encoder decoder architecture for pivot based sequence generation A Saha, MM Khapra, S Chandar, J Rajendran, K Cho International Conference on Computational Linguistics (COLING), 2016	17	2016
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Y Wan, A Rahimi-Kalahroudi, J Rajendran, I Momennejad, S Chandar, ... International Conference on Machine Learning (ICML), 22536-22561, 2022	14	2022
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning H Nekoei, A Badrinaaraayanan, A Sinha, M Amini, J Rajendran, ... Conference on Lifelong Learning Agents (CoLLAs), 2023	12	2023
How Should an Agent Practice? J Rajendran, R Lewis, V Veeriah, H Lee, S Singh AAAI Conference on Artificial Intelligence (AAAI) 34 (04), 5454-5461, 2020	12	2020
Defending against reverse preference attacks is difficult D Rosati, G Edkins, H Raj, D Atanasov, S Majumdar, J Rajendran, ... arXiv preprint arXiv:2409.12914, 2024	6	2024
Learning conditional policies for crystal design using offline reinforcement learning P Govindarajan, S Miret, J Rector-Brooks, M Phielipp, J Rajendran, ... Digital Discovery 3 (4), 769-785, 2024	6	2024
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning X Zhao, Y Pan, C Xiao, S Chandar, J Rajendran Conference on Uncertainty in Artificial Intelligence (UAI), 2023	6	2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi H Nekoei, X Zhao, J Rajendran, M Liu, S Chandar Conference on Lifelong Learning Agents (CoLLAs), 2023	4	2023
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games AV Sudhakar, P Parthasarathi, J Rajendran, S Chandar arXiv preprint arXiv:2311.07687, 2023	3	2023

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