Aravindan Raghuveer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. | Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer |
| 2025 | UAI | Aggregating Data for Optimal Learning. | Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer |
| 2025 | UAI | Learning from Label Proportions and Covariate-shifted Instances. | Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer |
| 2024 | AAAI | Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. | Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer |
| 2024 | ACL | DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. | Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer |
| 2024 | CIKM | LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. | Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer |
| 2024 | ICLR | Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. | Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer |
| 2024 | UAI | Generalization and Learnability in Multiple Instance Regression. | Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer |
| 2023 | ACL | Bi-Phone: Modeling Inter Language Phonetic Influences in Text. | Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer |
| 2023 | CIKM | Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. | Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer |
| 2023 | EMNLP | ReTAG: Reasoning Aware Table to Analytic Text Generation. | Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer |
| 2022 | AISTATS | On Combining Bags to Better Learn from Label Proportions. | Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran |
| 2022 | CIKM | Domain-Agnostic Contrastive Representations for Learning from Label Proportions. | Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer |
| 2022 | EMNLP | T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. | Anubhav Jangra, Preksha Nema, Aravindan Raghuveer |
| 2022 | EMNLP | CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. | Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer |
| 2022 | KDD | Multi-Variate Time Series Forecasting on Variable Subsets. | Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran |
| 2021 | EMNLP | HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. | Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer |
| 2018 | SIGIR | Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. | Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic |
| 2011 | COMAD | Automated Content Labeling using Context in Email. | Aravindan Raghuveer |
| 2011 | COMAD | WOOster: A Map-Reduce based Platform for Graph Mining. | Aravindan Raghuveer |
| 2007 | CIKM | Towards efficient search on unstructured data: an intelligent-storage approach. | Aravindan Raghuveer, Meera Jindal, Mohamed F. Mokbel, Biplob K. Debnath, David Hung-Chang Du |
| 2005 | GLOBECOM | Techniques for efficient stream of layered video in heterogeneous client environments. | Aravindan Raghuveer, Nam Oh Kang, David H. C. Du |