Jatin Prakash

16 papers A* 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attention and Compression is all you need for Controllably Efficient Language Models.
CoRR
Jatin Prakash, Aahlad Manas Puli, Rajesh Ranganath
2025 J jnl
KL-Regularized Reinforcement Learning is Designed to Mode Collapse.
CoRR
Anthony GX-Chen, Jatin Prakash, Jeff Guo, Rob Fergus, Rajesh Ranganath
2025 — conf
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.
KDD (1)
Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2025 J jnl
What Can You Do When You Have Zero Rewards During RL?
CoRR
Jatin Prakash, Anirudh Buvanesh
2024 A* conf
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction.
ICLR
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
2024 J jnl
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.
CoRR
Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2024 J jnl
Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder.
J. Comput. Inf. Sci. Eng.
Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar
2023 J jnl
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models.
J. Comput. Inf. Sci. Eng.
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar
2023 J jnl
Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers.
J. Comput. Inf. Sci. Eng.
Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar
2023 J jnl
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump.
Eng. Appl. Artif. Intell.
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar
2023 — conf
Renee: End-To-End Training of Extreme Classification Models.
MLSys
Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
2022 — conf
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions.
ECML/PKDD (3)
Ramya Hebbalaguppe, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
2022 J jnl
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions.
CoRR
Ramya S. Hebbalaguppe, Soumya Suvra Goshal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
2022 A* conf
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration.
CVPR
Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora
2022 J jnl
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration.
CoRR
Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora
2021 J jnl
Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions.
J. Comput. Inf. Sci. Eng.
Jatin Prakash, Pavan Kumar Kankar, Ankur Miglani