Aravindan Raghuveer

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 26

Top Topics

Intermediate Representation

Text Generation

Differential Privacy

Covariate Shift

Top Venues

Publications

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI (2024)
Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR (2024)
Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. ICLR (2024)
Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer
DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. ACL (Findings) (2024)
Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. CoRR (2023)
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR (2023)
Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer
ReTAG: Reasoning Aware Table to Analytic Text Generation. EMNLP (2023)
Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer
Label Differential Privacy via Aggregation. CoRR (2023)
Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer
Bi-Phone: Modeling Inter Language Phonetic Influences in Text. ACL (1) (2023)
Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
PAC Learning Linear Thresholds from Label Proportions. CoRR (2023)
Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
PAC Learning Linear Thresholds from Label Proportions. NeurIPS (2023)
Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM (2023)
Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CoRR (2023)
Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer
BiPhone: Modeling Inter Language Phonetic Influences in Text. CoRR (2023)
Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer
STOAT: Structured Data to Analytical Text With Controls. CoRR (2023)
Anubhav Jangra, Preksha Nema, Aravindan Raghuveer
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. EMNLP (2022)
Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran
On Combining Bags to Better Learn from Label Proportions. AISTATS (2022)
Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer
Walking with PACE - Personalized and Automated Coaching Engine. UMAP (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR (2022)
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM (2022)
Anubhav Jangra, Preksha Nema, Aravindan Raghuveer
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. CoRR (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. KDD (2022)
Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer
CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. EMNLP (2022)
Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. CoRR (2021)
Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. EMNLP (1) (2021)
Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic
Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. SIGIR (2018)
Aravindan Raghuveer
WOOster: A Map-Reduce based Platform for Graph Mining. COMAD (2011)
Aravindan Raghuveer
Automated Content Labeling using Context in Email. COMAD (2011)
Aravindan Raghuveer, Yingfei Dong, David Hung-Chang Du
StatStream: providing statistical reliability guarantees in peer-to-peer live video streaming. Int. J. Adv. Media Commun. 4 (1) (2010)
Aravindan Raghuveer, Meera Jindal, Mohamed F. Mokbel, Biplob K. Debnath, David Hung-Chang Du
Towards efficient search on unstructured data: an intelligent-storage approach. CIKM (2007)
Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du
A Network-Aware Approach for Video and Metadata Streaming. IEEE Trans. Circuits Syst. Video Technol. 17 (8) (2007)
Aravindan Raghuveer, Steven W. Schlosser, Sami Iren
Enabling database-aware storage with OSD. MSST (2007)
Aravindan Raghuveer, Nam Oh Kang, David H. C. Du
Techniques for efficient stream of layered video in heterogeneous client environments. GLOBECOM (2005)
Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du
Network-aware rate adaptation for video streaming. ICME (2004)