← Authors

Balaraman Ravindran

27 papers · 2008–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (3) 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (115) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

AAAI (5) IJCAI (5) ACL (4) ICLR (3) IJCNLP (3) AACL (1) ACML (1) AISTATS (1) EMNLP (1) L4DC (1) NAACL (1) NIPS (1)

Top co-authors

Mitesh M. Khapra (6) Preksha Nema (4) Balaji Vasan Srinivasan (3) Akash Kumar Mohankumar (3) Krithi Shailya (2) Manan Tomar (2) Akhilesh Kumar Mishra (2) Gokul S Krishnan (2) Daksh Anand (1) Adithya Ramesh (1)

Keywords

attention mechanism (4) reinforcement learning (3) sample efficiency (3) large language model (3) recommendation system (3) demographic bia (2) neural decoder (2) question generation (2) geographic bia (2) bias evaluation (2) multi-task learning (1) relational learning (1) curriculum learning (1) embedding learning (1) policy gradient (1) metric learning (1) text classification (1) response generation (1) ensemble learning (1) dialogue generation (1)

Papers

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026
Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations IJCNLP 2025
Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation ACL 2025
Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations AACL 2025
Physics-Informed Model-Based Reinforcement Learning L4DC 2023
Causal Contextual Bandits with Targeted Interventions ICLR 2022
Evolutionary Approach to Security Games with Signaling IJCAI 2022
On Combining Bags to Better Learn from Label Proportions AISTATS 2022
Relational Boosted Bandits AAAI 2021
An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks ICLR 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020
Towards Transparent and Explainable Attention Models ACL 2020
On Incorporating Structural Information to improve Dialogue Response Generation ACL 2020
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019
Let’s Ask Again: Refine Network for Automatic Question Generation IJCNLP 2019
Let’s Ask Again: Refine Network for Automatic Question Generation EMNLP 2019
Learning to Multi-Task by Active Sampling ICLR 2018
Thresholding Bandits with Augmented UCB IJCAI 2017
Diversity driven attention model for query-based abstractive summarization ACL 2017
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning NAACL 2016
CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks IJCAI 2015
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning IJCAI 2015
An Autoencoder Approach to Learning Bilingual Word Representations NIPS 2014
Lexical Chains as Document Features IJCNLP 2008