Mila > Team > Sarath Chandar

# Sarath Chandar

Core Academic Member
sarath.chandar@mila.quebec
http://sarathchandar.in/
Deep Learning
Natural Language Processing (NLP)
Recurrent Neural Networks
Reinforcement Learning (RL)
Core Academic Member
Assistant Professor, École Polytechnique de Montréal, Canada CIFAR AI Chair

Assistant Professor, Department of Computer and Software Engineering at Poly and Adjunct Professor, Department of Computer Science and Operations Research (DIRO) at UdeM.

Please check my personal website for more information.

## Publications

### 2021-11

Artificial intelligence and its contribution to overcome COVID-19
Arun Chockalingam, Vibha Tyagi, Rahul G Krishnan, Shehroz S Khan, Sarath Chandar, Mirza Faisal Beg, Vidur Mahajan, Parasvil Patel, Sri Teja Mullapudi, Nikita Thakkar, Arrti A Bhasin, Atul Tyagi, Bing Ye and Alex Mihailidis
International Journal of Medical Science and Public Health
(2021-11-01)
www.ijncd.org

### 2021-09

Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish and Sarath Chandar
arXiv preprint arXiv:2110.06990
(2021-09-29)
ui.adsabs.harvard.edu PDF

### 2021-08

Post-hoc Interpretability for Neural NLP: A Survey.
Andreas Madsen, Siva Reddy and Sarath Chandar
arXiv preprint arXiv:2108.04840
(2021-08-10)
ui.adsabs.harvard.edu PDF
A Survey of Data Augmentation Approaches for NLP
Steven Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura and Eduard Hovy
ACL 2021
(2021-08-01)
2021.aclweb.org[Also on arXiv preprint arXiv:2105.03075 (2021-05-07)]
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq and Sarath Chandar
ACL 2021
(2021-08-01)
2021.aclweb.org[Also on arXiv preprint arXiv:2009.07058 (2020-09-15)]

### 2021-07

Demystifying Neural Language Models' Insensitivity to Word-Order
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq and Sarath Chandar
arXiv preprint arXiv:2107.13955
(2021-07-29)
ui.adsabs.harvard.edu PDF
A BRIEF STUDY ON THE EFFECTS OF TRAINING GENERATIVE DIALOGUE MODELS WITH A SEMANTIC LOSS
Prasanna Parthasarathi, Mohamed Abdelsalam, Sarath Chandar and Joelle Pineau
SIGDIAL 2021
(2021-07-29)
aclanthology.org
DO ENCODER REPRESENTATIONS OF GENERATIVE DIALOGUE MODELS HAVE SUFFICIENT SUMMARY OF THE INFORMATION ABOUT THE TASK
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
SIGDIAL 2021
(2021-07-29)
aclanthology.org
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville and Sarath Chandar
ICML 2021
(2021-07-18)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2103.03216 (2021-03-04)]

### 2021-06

Memory Augmented Optimizers for Deep Learning.
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran and Sarath Chandar
arXiv preprint arXiv:2106.10708
(2021-06-20)
ui.adsabs.harvard.edu PDF
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2106.10622
(2021-06-20)
dblp.uni-trier.de PDF
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2106.10619
(2021-06-20)
arxiv.org PDF

### 2021-05

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor and Sarath Chandar
AAAI 2021
(2021-05-18)
ojs.aaai.org PDF
TAG: Task-based Accumulated Gradients for Lifelong learning.
Pranshu Malviya, Balaraman Ravindran and Sarath Chandar
arXiv preprint arXiv:2105.05155
(2021-05-11)
ui.adsabs.harvard.edu PDF
Out-of-Distribution Classification and Clustering
Gabriele Prato and Sarath Chandar
(venue unknown)
(2021-05-04)
openreview.net PDF
Maximum Reward Formulation In Reinforcement Learning
SaiKrishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor and Sarath Chandar
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.edu PDF

### 2021-01

IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani and Sarath Chandar
CVPR 2021
(2021-01-12)
openaccess.thecvf.com PDF

### 2020-08

How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2008.10427
(2020-08-24)
ui.adsabs.harvard.edu PDF

### 2020-07

Slot Contrastive Networks: A Contrastive Approach for Representing Objects.
Evan Racah and Sarath Chandar
arXiv preprint arXiv:2007.09294
(2020-07-18)
ui.adsabs.harvard.edu PDF
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Haoran Wei, Yashaswi Pathak, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm Van Seijen, Hadi Nekoei, Evan Racah and Sarath Chandar
NEURIPS 2020
(2020-07-07)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:2007.03158 (2020-07-07)]

### 2020-06

Chaotic Continual Learning
Touraj Laleh, Mojtaba Faramarzi, Irina Rish and Sarath Chandar
(venue unknown)
(2020-06-14)
openreview.net PDF
PatchUp: A Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma and Sarath Chandar
arXiv preprint arXiv:2006.07794
(2020-06-14)
ui.adsabs.harvard.edu PDF

### 2020-04

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:2004.12485
(2020-04-26)
ui.adsabs.harvard.edu PDF

### 2020-03

On challenges in training recurrent neural networks
Anbil Parthipan and Sarath Chandar
(venue unknown)
(2020-03-25)
papyrus.bib.umontreal.ca
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare and Michael Bowling
Artificial Intelligence
(2020-03-01)
www.sciencedirect.com PDF

### 2020-01

Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
direct.mit.edu

### 2019-07

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar and Yoshua Bengio
ACL 2019
(2019-07-01)
aclanthology.org PDF[Also on arXiv preprint arXiv:1906.01603 (2019-06-04)]

### 2019-06

Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar and Alain Tapp
ACL 2019
(2019-06-04)
aclanthology.org[Also on arXiv preprint arXiv:1906.01659 (2019-06-04)]

### 2019-05

Structure Learning for Neural Module Networks.
Vardaan Pahuja, Jie Fu, Sarath Chandar and Christopher Joseph Pal
EMNLP 2019
(2019-05-01)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1905.11532 (2019-05-27)]

### 2019-01

Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
AAAI 2019
(2019-01-27)
www.aaai.org PDF[Also on arXiv preprint arXiv:1902.06704 (2019-01-22)]

### 2018-11

Environments for Lifelong Reinforcement Learning.
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar and Doina Precup
arXiv preprint arXiv:1811.10732
(2018-11-26)
dblp.uni-trier.de PDF
On Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:1811.07017
(2018-11-16)
arxiv.org PDF

### 2018-01

A Deep Reinforcement Learning Chatbot (Short Version)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau and Yoshua Bengio
arXiv preprint arXiv:1801.06700
(2018-01-20)
ui.adsabs.harvard.edu PDF

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