Adithya Ramesh, Balaraman Ravindran
Appeared in
Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA.,
Proceedings of Machine Learning Research, Vol 211, pp.26-37, Jun 2023.
Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning.
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic.
Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran
Appeared in
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022,
pp.3191-3197, Jun 2022.
Causal Contextual Bandits with Targeted Interventions.
Chandrasekar Subramanian, Balaraman Ravindran
Appeared in
The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022 (ICLR 2022),
Apr 2022.
On Combining Bags to Better Learn from Label Proportions.
Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran
Appeared in
International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. (AISTATS 2022),
Proceedings of Machine Learning Research, Vol 151, pp.5913-5927, Mar 2022.
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.
Smooth Imitation Learning via Smooth Costs and Smooth Policies.
Sapana Chaudhary, Balaraman Ravindran
Appeared in
CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022,
pp.63-71, Jan 2022.
Automated Incident Location Identification for EMS from Ambulance Geospatial Data.
An Active Learning Framework for Efficient Robust Policy Search.
Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
Appeared in
CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022,
pp.1-9, Jan 2022.
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal.
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
Appeared in
Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. (ACML 2021),
Proceedings of Machine Learning Research, Vol 157, pp.518-533, Nov 2021.
Metric Learning for comparison of HMMs using Graph Neural Networks.
Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran
Appeared in
Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. (ACML 2021),
Proceedings of Machine Learning Research, Vol 157, pp.1365-1380, Nov 2021.
A Joint Training Framework for Open-World Knowledge Graph Embeddings.
GrabQC: Graph Based Query Contextualization for Automated ICD Coding.
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
Appeared in
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I (PAKDD 2021),
Lecture Notes in Computer Science, Vol 12712, pp.225-237, May 2021.
An Enhanced Advising Model in Teacher-Student Framework using State Categorization.
Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran
Appeared in
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021,
pp.6653-6660, Feb 2021.
Relational Boosted Bandits.
Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran
Appeared in
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021,
pp.12123-12130, Feb 2021.
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation.
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.
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.
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.