Sarath Chandar

According to our database, Sarath Chandar authored at least 101 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Promoting Exploration in Memory-Augmented Adam using Critical Momenta.

Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar

Trans. Mach. Learn. Res., 2024

Torque-Aware Momentum.

Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Gintare Karolina Dziugaite, Razvan Pascanu, Sarath Chandar

CoRR, 2024

Too Big to Fool: Resisting Deception in Language Models.

Mohammad Reza Samsami, Mats Leon Richter, Juan Rodriguez, Megh Thakkar, Sarath Chandar, Maxime Gasse

CoRR, 2024

Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.

Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar

CoRR, 2024

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar

CoRR, 2024

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning.

Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov

CoRR, 2024

Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective.

Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar

CoRR, 2024

Interpretability Needs a New Paradigm.

Andreas Madsen, Himabindu Lakkaraju, Siva Reddy, Sarath Chandar

CoRR, 2024

Sub-goal Distillation: A Method to Improve Small Language Agents.

Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté

CoRR, 2024

Towards Practical Tool Usage for Continually Learning LLMs.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

CoRR, 2024

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.

Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction.

Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Lookbehind-SAM: k steps back, 1 step forward.

Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Faithfulness Measurable Masked Language Models.

Andreas Madsen, Siva Reddy, Sarath Chandar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mastering Memory Tasks with World Models.

Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Intelligent Switching for Reset-Free RL.

Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do Large Language Models Know How Much They Know?

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Exploring Quantization for Efficient Pre-Training of Transformer Language Models.

Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MVP: Minimal Viable Phrase for Long Text Understanding.

Louis Clouâtre, Amal Zouaq, Sarath Chandar

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Why Don't Prompt-Based Fairness Metrics Correlate?

Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.

Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Are self-explanations from Large Language Models faithful?

Andreas Madsen, Sarath Chandar, Siva Reddy

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fairness-Aware Structured Pruning in Transformers.

Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Empirical Investigation of the Role of Pre-training in Lifelong Learning.

Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell

J. Mach. Learn. Res., 2023

Post-hoc Interpretability for Neural NLP: A Survey.

Andreas Madsen, Siva Reddy, Sarath Chandar

ACM Comput. Surv., 2023

Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games.

Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar

CoRR, 2023

Lookbehind Optimizer: k steps back, 1 step forward.

Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar

CoRR, 2023

Thompson sampling for improved exploration in GFlowNets.

Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, Yoshua Bengio

CoRR, 2023

Should We Attend More or Less? Modulating Attention for Fairness.

Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Sarath Chandar

CoRR, 2023

Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction.

Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams

CoRR, 2023

Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning.

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar

CoRR, 2023

Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning.

Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Self-Influence Guided Data Reweighting for Language Model Pre-training.

Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

EpiK-Eval: Evaluation for Language Models as Epistemic Models.

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.

Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning.

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2023

Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi.

Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2023

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning.

Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2023

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

Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PatchBlender: A Motion Prior for Video Transformers.

Gabriele Prato, Yale Song, Janarthanan Rajendran, R. Devon Hjelm, Neel Joshi, Sarath Chandar

CoRR, 2022

Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators.

Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau

CoRR, 2022

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

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

CoRR, 2022

An Introduction to Lifelong Supervised Learning.

Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar

CoRR, 2022

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

Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup

CoRR, 2022

Local Structure Matters Most in Most Languages.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods.

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

Proceedings of the International Conference on Machine Learning, 2022

Memory Augmented Optimizers for Deep Learning.

Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar

Proceedings of the Tenth International Conference on Learning Representations, 2022

Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Combining Reinforcement Learning and Constraint Programming for Sequence-Generation Tasks with Hard Constraints.

Daphné Lafleur, Sarath Chandar, Gilles Pesant

Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

TAG: Task-based Accumulated Gradients for Lifelong learning.

Pranshu Malviya, Balaraman Ravindran, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2022

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

Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2022

Local Structure Matters Most: Perturbation Study in NLU.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks.

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers.

Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish, Sarath Chandar

CoRR, 2021

Demystifying Neural Language Models' Insensitivity to Word-Order.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

CoRR, 2021

Memory Augmented Optimizers for Deep Learning.

Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar

CoRR, 2021

Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

CoRR, 2021

Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ?

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss.

Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Continuous Coordination As a Realistic Scenario for Lifelong Learning.

Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron C. Courville, Sarath Chandar

Proceedings of the 38th International Conference on Machine Learning, 2021

IIRC: Incremental Implicitly-Refined Classification.

Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Survey of Data Augmentation Approaches for NLP.

Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

MLMLM: Link Prediction with Mean Likelihood Masked Language Model.

Louis Clouâtre, Philippe Trempe, Amal Zouaq, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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, Sarath Chandar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Toward Training Recurrent Neural Networks for Lifelong Learning.

Shagun Sodhani, Sarath Chandar, Yoshua Bengio

Neural Comput., 2020

Maximum Reward Formulation In Reinforcement Learning.

Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

CoRR, 2020

How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics.

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

CoRR, 2020

Slot Contrastive Networks: A Contrastive Approach for Representing Objects.

Evan Racah, Sarath Chandar

CoRR, 2020

PatchUp: A Regularization Technique for Convolutional Neural Networks.

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

CoRR, 2020

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, Michael Bowling

Artif. Intell., 2020

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning.

Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.

Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Edge Replacement Grammars : A Formal Language Approach for Generating Graphs.

Revanth Reddy, Sarath Chandar, Balaraman Ravindran

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Structure Learning for Neural Module Networks.

Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal

Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study.

Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Lossless Encoding of Sentences.

Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies.

Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes.

Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio

Neural Comput., 2018

Environments for Lifelong Reinforcement Learning.

Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup

CoRR, 2018

On Training Recurrent Neural Networks for Lifelong Learning.

Shagun Sodhani, Sarath Chandar, Yoshua Bengio

CoRR, 2018

Language Expansion In Text-Based Games.

Ghulam Ahmed Ansari, Sagar J. P, Sarath Chandar, Balaraman Ravindran

CoRR, 2018

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, Yoshua Bengio

CoRR, 2018

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.

Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Deep Reinforcement Learning Chatbot.

Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

CoRR, 2017

Memory Augmented Neural Networks with Wormhole Connections.

Çaglar Gülçehre, Sarath Chandar, Yoshua Bengio

CoRR, 2017

GuessWhat?! Visual Object Discovery through Multi-modal Dialogue.

Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Correlational Neural Networks.

Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran

Neural Comput., 2016

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes.

Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio

CoRR, 2016

Hierarchical Memory Networks.

Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio

CoRR, 2016

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning.

Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran

Proceedings of the NAACL HLT 2016, 2016

Multilingual Multimodal Language Processing Using Neural Networks.

Mitesh M. Khapra, Sarath Chandar

Proceedings of the Tutorial Abstracts, 2016

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.

Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho

Proceedings of the COLING 2016, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.

Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

TSEB: More Efficient Thompson Sampling for Policy Learning.

P. Prasanna, Sarath Chandar, Balaraman Ravindran

CoRR, 2015

Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds.

Sridhar Mahadevan, Sarath Chandar

CoRR, 2015

From multiple views to single view: a neural network approach.

Subendhu Rongali, A. P. Sarath Chandar, Balaraman Ravindran

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2014

An Autoencoder Approach to Learning Bilingual Word Representations.

A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2011

An Adaptive e-Learning Environment Using Distributed Spiking Neural P Systems.

Susan Elias, A. P. Sarath Chandar, Kamala Krithivasan, S. V. Raghavan

Proceedings of the 2011 IEEE International Conference on Technology for Education, 2011

2010

CDPN: Communicating Dynamic Petri Net for Adaptive Multimedia Presentation.

A. P. Sarath Chandar, S. Arun Balaji, G. Venkatesh, Susan Elias

Proceedings of the Information and Communication Technologies - International Conference, 2010

Personalized e-course composition approach using digital pheromones in improved particle swarm optimization.

A. P. Sarath Chandar, S. G. Dheeban, Deepak V, Susan Elias

Proceedings of the Sixth International Conference on Natural Computation, 2010