Abhinav Jain - RankMe

18 papers A* 3A 2B 1C 1Misc 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs. CoRR Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding, Arlei Silva, Chris Jermaine
2025	J	`jnl`	MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts. CoRR Abhinav Jain, Xinyu Yao, Thomas Reps, Christopher Jermaine
2025	J	`jnl`	SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation. CoRR Mingchao Jiang, Abhinav Jain, Sophia Zorek, Chris Jermaine
2024	A*	`conf`	GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. AAAI Abhinav Jain, Vaibhav V. Unhelkar
2024	A*	`conf`	Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. NeurIPS Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Christopher M. Jermaine
2024	J	`jnl`	Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. CoRR Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
2024	J	`jnl`	RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. CoRR Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar
2023	J	`jnl`	GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. CoRR Abhinav Jain, Vaibhav V. Unhelkar
2023	J	`jnl`	Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback. CoRR Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
2022	A	`conf`	Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors. AAMAS Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar
2021	J	`jnl`	Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR 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
2020	A*	`conf`	Overview and Importance of Data Quality for Machine Learning Tasks. KDD Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala
2019	Misc	`conf`	Learning Convolutional Neural Networks with Deep Part Embeddings. ICASSP Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta
2019	Misc	`conf`	Radial Loss for Learning Fine-grained Video Similarity Metric. ICASSP Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay
2019	A	`conf`	Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. ICDAR Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick
2018	—	`conf`	Content Driven Enrichment of Formal Text using Concept Definitions and Applications. HT Abhinav Jain, Nitin Gupta, Shashank Mujumdar, Sameep Mehta, Rishi Madhok
2018	B	`conf`	Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video. ICPR Nitin Gupta, Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Sameep Mehta
2017	C	`conf`	Coherent Visual Description of Textual Instructions. ISM Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Sameep Mehta