Manas Gupta

According to our database, Manas Gupta authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Memory Networks: Towards Fully Biologically Plausible Learning.

Jacobo Ruiz, Manas Gupta

CoRR, 2024

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

CoRR, 2024

2023

Improving transparency and representational generalizability through parallel continual learning.

Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee

Neural Networks, April, 2023

Resource Efficient Neural Networks Using Hessian Based Pruning.

Jack Chong, Manas Gupta, Lihui Chen

CoRR, 2023

Towards Explainable Recommendation Via Bert-Guided Explanation Generator.

Huijing Zhan, Ling Li, Shaohua Li, Weide Liu, Manas Gupta, Alex C. Kot

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

QLP: Deep Q-Learning for Pruning Deep Neural Networks.

Efe Camci, Manas Gupta, Min Wu, Jie Lin

IEEE Trans. Circuits Syst. Video Technol., 2022

Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop.

Manas Gupta, Sarthak Ketanbhai Modi, Hang Zhang, Joon Hei Lee, Joo Hwee Lim

CoRR, 2022

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning.

Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin

CoRR, 2022

PaRT: Parallel Learning Towards Robust and Transparent AI.

Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee

CoRR, 2022

Investigating Robustness of Biological vs. Backprop Based Learning.

Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking.

Katarina Jurczyk, Christopher You, Mahsan Nourani, Manas Gupta, Lisa Anthony, Benjamin Lok

Proceedings of the UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, 2021

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning.

Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2021

Speech Emotion Recognition Using MFCC and Wide Residual Network.

Manas Gupta, Satish Chandra

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020

Learning to Prune Deep Neural Networks via Reinforcement Learning.

Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin

CoRR, 2020

2019

Monitoring Access to User Defined Areas with Multi-Agent Team in Urban Environments.

Manas Gupta, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte

Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019