Research Publications -@ CSE-IITM

Publications by the members of CSE Department :

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A semi-supervised approach to growing classification trees.

Sudarsun Santhiappan, Balaraman Ravindran
Appeared in CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021, pp.29-37, Jan 2021.

Is it hard to learn a classifier on this dataset?

Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Appeared in CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021, pp.299-306, Jan 2021.

Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks.

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Appeared in IEEE Intelligent Vehicles Symposium, IV 2020, Las Vegas, NV, USA, October 19 - November 13, 2020 (IV 2020), pp.321-327, Nov 2020.

Understanding Dynamic Scenes using Graph Convolution Networks.

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Appeared in IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021 (IROS 2020), pp.8279-8286, Oct 2020.

Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning.

Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
Appeared in Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II (PKDD 2020), Lecture Notes in Computer Science, Vol 12458, pp.509-524, Sep 2020.

Reinforcement Learning for Improving Object Detection.

Siddharth Nayak, Balaraman Ravindran
Appeared in Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part V (ECCV 2020), Lecture Notes in Computer Science, Vol 12539, pp.149-161, Aug 2020.

Towards Transparent and Explainable Attention Models.

Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Appeared in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 (ACL 2020), pp.4206-4216, Jul 2020.

HPRA: Hyperedge Prediction using Resource Allocation.

Tarun Kumar, K. Darwin, Srinivasan Parthasarathy 0001, Balaraman Ravindran
Appeared in WebSci '20: 12th ACM Conference on Web Science, Southampton, UK, July 6-10, 2020, pp.135-143, Jul 2020.

ExTra: Transfer-guided Exploration.

Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
Appeared in Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020, pp.1987-1989, May 2020.

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.

Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
Appeared in Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020, pp.575-583, May 2020.

A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs.

Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
Appeared in Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]. (SDM 2020), pp.487-495, May 2020.

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks.

Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
Appeared in 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020 (ICLR 2020), Apr 2020.

ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract).

Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
Appeared in The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp.13905-13906, Feb 2020.

Hypergraph clustering by iteratively reweighted modularity maximization.

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy 0001, Balaraman Ravindran
Appeared in Appl. Netw. Sci., Vol 5, pp.52, 2020.

DyVEDeep: Dynamic Variable Effort Deep Neural Networks.

Sanjay Ganapathy, Swagath Venkataramani, Giridhur Sriraman, Balaraman Ravindran, Anand Raghunathan
Appeared in ACM Trans. Embed. Comput. Syst., Vol 19, pp.16:1-16:24, 2020.

Interpretability With Accurate Small Models.

Abhishek Ghose, Balaraman Ravindran
Appeared in Frontiers Artif. Intell., Vol 3, pp.3, 2020.

Rate of change analysis for interestingness measures.

Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
Appeared in Knowl. Inf. Syst., Vol 62, pp.239-258, 2020.

Predicting software defect type using concept-based classification.

Sangameshwar Patil, Balaraman Ravindran
Appeared in Empirical Software Engineering, Vol 25, pp.1341-1378, 2020.

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering.

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
Appeared in Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Lisbon, Portugal, December 10-12, 2019., Studies in Computational Intelligence, Vol 881, pp.286-297, Dec 2019.

Temporal Analysis of a Bus Transit Network.

Manju Manohar Manjalavil, Gitakrishnan Ramadurai, Balaraman Ravindran
Appeared in Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Lisbon, Portugal, December 10-12, 2019., Studies in Computational Intelligence, Vol 882, pp.944-954, Dec 2019.

Let's Ask Again: Refine Network for Automatic Question Generation.

Preksha Nema, Akash Kumar Mohankumar, Mitesh Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Appeared in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pp.3312-3321, Nov 2019.

Generalized random Surfer-Pair models.

Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan
Appeared in ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, pp.452-455, Aug 2019.

Successor Options: An Option Discovery Framework for Reinforcement Learning.

Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Appeared in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 (IJCAI 2019), pp.3304-3310, Aug 2019.

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

Revanth Reddy, Sarath Chandar, Balaraman Ravindran
Appeared in Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019. (SDM 2019), pp.351-359, May 2019.

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning.

Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
Appeared in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp.2226-2228, May 2019.

Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework.

Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran
Appeared in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp.1997-1999, May 2019.

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning.

Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
Appeared in The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019., pp.10053-10054, Feb 2019.

Studying the plasticity in deep convolutional neural networks using random pruning.

Deepak Mittal, Shweta Bhardwaj, Mitesh Khapra, Balaraman Ravindran
Appeared in Mach. Vis. Appl., Vol 30, pp.203-216, 2019.

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing.

Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan
Appeared in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2019, Kolkata, India, January 3-5, 2019, pp.150-156, Jan 2019.

Learning to Prevent Monocular SLAM Failure using Reinforcement Learning.

Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick
Appeared in ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing, Hyderabad, India, 18-22 December, 2018 (ICVGIP 2018), pp.47:1-47:9, Dec 2018.

Looking Under the Hood of Deep Neural Networks.

Balaraman Ravindran
Appeared in 25th IEEE International Conference on High Performance Computing, HiPC 2018, Bengaluru, India, December 17-20, 2018, pp.1, Dec 2018.

RAIL: Risk-Averse Imitation Learning.

Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
Appeared in Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018 (AAMAS 2018), pp.2062-2063, Jul 2018.

Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning.

Meha Kaushik, Vignesh Prasad, K. Madhava Krishna, Balaraman Ravindran
Appeared in 2018 IEEE Intelligent Vehicles Symposium, IV 2018, Changshu, Suzhou, China, June 26-30, 2018 (IV 2018), pp.1885-1890, Jun 2018.

Learning to Multi-Task by Active Sampling.

Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran
Appeared in 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings (ICLR 2018), May 2018.

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.

Deepak Mittal, Shweta Bhardwaj, Mitesh Khapra, Balaraman Ravindran
Appeared in 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018 (WACV 2018), pp.848-857, Mar 2018.

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.

Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
Appeared in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, Feb 2018.

Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data.

Dibu John Philip, Nandan Sudarsanam, Balaraman Ravindran
Appeared in DATA BASE, Vol 49, pp.98-113, 2018.

A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay.

Dibu Philip, Nandan Sudarsanam, Balaraman Ravindran
Appeared in 51st Hawaii International Conference on System Sciences, HICSS 2018, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018 (HICSS 2018), Jan 2018.

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data.

Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran
Appeared in 10th International Conference on Communication Systems & Networks, COMSNETS 2018, Bengaluru, India, January 3-7, 2018 (COMSNETS 2018), pp.589-294, Jan 2018.

A novel topic modeling based weighting framework for class imbalance learning.

Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran
Appeared in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018, pp.20-29, Jan 2018.

A neural attention based approach for clickstream mining.

Chandramohan T. N, Balaraman Ravindran
Appeared in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018, pp.118-127, Jan 2018.

Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings.

Nandan Sudarsanam, Balaraman Ravindran
Appeared in Computers & Industrial Engineering, Vol 115, pp.471-485, 2018.

Dynamic Class Learning Approach for Smart CBIR.

Girraj Pahariya, Balaraman Ravindran, Sukhendu Das
Appeared in Computer Vision, Pattern Recognition, Image Processing, and Graphics - 6th National Conference, NCVPRIPG 2017, Mandi, India, December 16-19, 2017, Revised Selected Papers (NCVPRIPG 2017), Communications in Computer and Information Science, Vol 841, pp.327-337, Dec 2017.

DCEIL: Distributed Community Detection with the CEIL Score.

Akash Jain, Rupesh Nasre, Balaraman Ravindran
Appeared in 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2017, Bangkok, Thailand, December 18-20, 2017, pp.146-153, Dec 2017.

MCEIL: An Improved Scoring Function for Overlapping Community Detection using Seed Expansion Methods.

Prathamesh Deshpande, Balaraman Ravindran
Appeared in Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31 - August 03, 2017, pp.652-659, Aug 2017.

Thresholding Bandits with Augmented UCB.

Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
Appeared in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 (IJCAI 2017), pp.2515-2521, Aug 2017.

Diversity driven attention model for query-based abstractive summarization.

Preksha Nema, Mitesh Khapra, Anirban Laha, Balaraman Ravindran
Appeared in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers (ACL 2017), pp.1063-1072, Aug 2017.

Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning.

Vignesh Prasad, Rishabh Jangir, Balaraman Ravindran, K. Madhava Krishna
Appeared in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, So Paulo, Brazil, May 8-12, 2017 (AAMAS 2017), pp.1697-1699, May 2017.

Online Multi-Task Learning Using Active Sampling.

Sahil Sharma, Balaraman Ravindran
Appeared in 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings (ICLR 2017), Apr 2017.

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.

Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh Khapra, P. Prasanna, Balaraman Ravindran
Appeared in 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings (ICLR 2017), Apr 2017.

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Department of Computer Science & Engineering

Indian Institute of Technology Madras, Chennai, India.