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ORCIDAbhinav Jain 0001
Person information
- affiliation: Rice University, Houston, TX, USA
- affiliation (former): IBM Research India, New Delhi, India
Other persons with the same name
- Abhinav Jain — disambiguation page
- Abhinav Jain 0002 — Georgia Institute of Technology, Institute of Robotics and Intelligent Machines, Atlanta, GA, USA
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2020 – today
- 2024
[c9]Abhinav Jain, Vaibhav V. Unhelkar
:
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. AAAI 2024: 12763-12772- [i5]Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine:
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. CoRR abs/2405.15282 (2024) - [i4]Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar:
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. CoRR abs/2409.12294 (2024) - 2023
- [i3]Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine:
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback. CoRR abs/2305.18341 (2023) - [i2]Abhinav Jain, Vaibhav V. Unhelkar:
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. CoRR abs/2312.10802 (2023) - 2022
- [c8]Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar:
Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors. AAMAS 2022: 982-1000 - 2021
- [i1]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - 2020
- [c7]Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala:
Overview and Importance of Data Quality for Machine Learning Tasks. KDD 2020: 3561-3562
2010 – 2019
- 2019
- [c6]Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay:
Radial Loss for Learning Fine-grained Video Similarity Metric. ICASSP 2019: 1652-1656 - [c5]Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta:
Learning Convolutional Neural Networks with Deep Part Embeddings. ICASSP 2019: 2037-2041 - [c4]Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick:
Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. ICDAR 2019: 1169-1174 - 2018
- [c3]Abhinav Jain, Nitin Gupta, Shashank Mujumdar, Sameep Mehta, Rishi Madhok:
Content Driven Enrichment of Formal Text using Concept Definitions and Applications. HT 2018: 96-100 - [c2]Nitin Gupta, Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Sameep Mehta:
Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video. ICPR 2018: 2392-2397 - 2017
- [c1]Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Sameep Mehta:
Coherent Visual Description of Textual Instructions. ISM 2017: 122-129
Coauthor Index
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