Sarath Chandar

2.2k total citations
26 papers, 511 citations indexed

About

Sarath Chandar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sarath Chandar has authored 26 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Sarath Chandar's work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Reinforcement Learning in Robotics (3 papers). Sarath Chandar is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Reinforcement Learning in Robotics (3 papers). Sarath Chandar collaborates with scholars based in Canada, India and United States. Sarath Chandar's co-authors include Mitesh M. Khapra, Andreas Nygaard Madsen, Hugo Larochelle, Karthik Sankaranarayanan, Amrita Saha, Shagun Sodhani, Balaraman Ravindran, Yoshua Bengio, Jakob Foerster and Vincent Dumoulin and has published in prestigious journals such as ACM Computing Surveys, Artificial Intelligence and Neural Computation.

In The Last Decade

Sarath Chandar

23 papers receiving 491 citations

Peers

Countries citing papers authored by Sarath Chandar

Since Specialization

Citations

This map shows the geographic impact of Sarath Chandar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarath Chandar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarath Chandar more than expected).

Fields of papers citing papers by Sarath Chandar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarath Chandar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarath Chandar. The network helps show where Sarath Chandar may publish in the future.

Co-authorship network of co-authors of Sarath Chandar

This figure shows the co-authorship network connecting the top 25 collaborators of Sarath Chandar. A scholar is included among the top collaborators of Sarath Chandar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarath Chandar. Sarath Chandar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform 2024 ·Canadian Journal of Cardiology ·Pascal Thériault-Lauzier, (unknown), Olivier Tastet, (unknown), Bahareh Taji, Guson Kang, Aun‐Yeong Chong, Derek So, An Tang, Judy Wawira Gichoya, Sarath Chandar, (unknown), Julie Hussin, (unknown), Robert Avram	17
2	A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques 2024 ·(unknown), (unknown), Matthew Riemer, Pin‐Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar	2
3	On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction 2024 ·PolyPublie (École Polytechnique de Montréal) ·(unknown), (unknown), (unknown), (unknown), Sarath Chandar, Bram Adams	2
4	Exploring Quantization for Efficient Pre-Training of Transformer Language Models 2024 ·PolyPublie (École Polytechnique de Montréal) ·(unknown), (unknown), (unknown), Sarath Chandar	0
5	Are self-explanations from Large Language Models faithful? 2024 ·PolyPublie (École Polytechnique de Montréal) ·Andreas Nygaard Madsen, Sarath Chandar, (unknown)	6
6	Learning conditional policies for crystal design using offline reinforcement learning 2024 ·Digital Discovery ·(unknown), Santiago Miret, (unknown), (unknown), (unknown), Sarath Chandar	2
7	Enhancing Breast Cancer Data Classification Performance in Medical Data by Employing GRU-LMA Deep Learning Classifier for Accurate Diagnosis 2024 ·Indian Journal of Science and Technology ·Sarath Chandar, (unknown)	0
8	Fairness-Aware Structured Pruning in Transformers 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Ioana Baldini, Sarath Chandar	8
9	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Hamid Palangi, (unknown), Sarath Chandar	8
10	Self-Influence Guided Data Reweighting for Language Model Pre-training 2023 ·PolyPublie (École Polytechnique de Montréal) ·(unknown), Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar	2
11	Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models 2023 ·PolyPublie (École Polytechnique de Montréal) ·(unknown), Mehdi Rezagholizadeh, (unknown), Sarath Chandar	0
12	Local Structure Matters Most: Perturbation Study in NLU 2022 ·Findings of the Association for Computational Linguistics: ACL 2022 ·(unknown), (unknown), Amal Zouaq, Sarath Chandar	2
13	PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Mohammad Amini, (unknown), Vikas Verma, Sarath Chandar	19
14	Post-hoc Interpretability for Neural NLP: A Survey 2022 ·ACM Computing Surveys ·Andreas Nygaard Madsen, (unknown), Sarath Chandar	100
15	Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? 2021 ·PolyPublie (École Polytechnique de Montréal) ·(unknown), Joëlle Pineau, Sarath Chandar	1
16	The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning 2020 ·PolyPublie (École Polytechnique de Montréal) ·Harm van Seijen, (unknown), Evan Racah, Sarath Chandar	1
17	The Hanabi challenge: A new frontier for AI research 2019 ·Artificial Intelligence ·Nolan Bard, Jakob Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, (unknown), Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, (unknown), Hugo Larochelle, Marc G. Bellemare, Michael Bowling	100
18	Toward Training Recurrent Neural Networks for Lifelong Learning 2019 ·Neural Computation ·Shagun Sodhani, Sarath Chandar, Yoshua Bengio	48
19	Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph 2018 ·arXiv (Cornell University) ·Amrita Saha, (unknown), Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar	7
20	Correlational Neural Networks 2015 ·Neural Computation ·Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran	72

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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