Abhinav Jain

According to our database, Abhinav Jain authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models.

Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar

CoRR, 2024

Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation.

Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine

CoRR, 2024

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation.

Abhinav Jain, Vaibhav V. Unhelkar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback.

Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine

CoRR, 2023

2022

Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors.

Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.

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

CoRR, 2021

2020

Overview and Importance of Data Quality for Machine Learning Tasks.

Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents.

Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Radial Loss for Learning Fine-grained Video Similarity Metric.

Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Convolutional Neural Networks with Deep Part Embeddings.

Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video.

Nitin Gupta, Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Sameep Mehta

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Content Driven Enrichment of Formal Text using Concept Definitions and Applications.

Abhinav Jain, Nitin Gupta, Shashank Mujumdar, Sameep Mehta, Rishi Madhok

Proceedings of the 29th on Hypertext and Social Media, 2018

2017

Coherent Visual Description of Textual Instructions.

Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Sameep Mehta

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017