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Manas Gupta
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2020 – today
- 2024
- [i7]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:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i6]Jacobo Ruiz, Manas Gupta:
Memory Networks: Towards Fully Biologically Plausible Learning. CoRR abs/2409.17282 (2024) - 2023
- [j2]Mahsa Paknezhad
, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy
Improving transparency and representational generalizability through parallel continual learning. Neural Networks 161: 449-465 (2023) - [c6]Huijing Zhan, Ling Li, Shaohua Li, Weide Liu, Manas Gupta, Alex C. Kot:
Towards Explainable Recommendation Via Bert-Guided Explanation Generator. ICASSP 2023: 1-5 - [i5]Jack Chong, Manas Gupta, Lihui Chen:
Resource Efficient Neural Networks Using Hessian Based Pruning. CoRR abs/2306.07030 (2023) - 2022
- [j1]Efe Camci
QLP: Deep Q-Learning for Pruning Deep Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6488-6501 (2022) - [c5]Yanpeng Zhou, Maosen Wang, Manas Gupta
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP 2022: 3533-3537 - [i4]Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR abs/2201.09534 (2022) - [i3]Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. CoRR abs/2209.14624 (2022) - [i2]Manas Gupta, Sarthak Ketanbhai Modi, Hang Zhang, Joon Hei Lee, Joo Hwee Lim:
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop. CoRR abs/2212.04614 (2022) - 2021
- [c4]Manas Gupta, Satish Chandra:
Speech Emotion Recognition Using MFCC and Wide Residual Network. IC3 2021: 320-327 - [c3]Manas Gupta
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. ICASSP 2021: 3115-3119 - [c2]Katarina Jurczyk, Christopher You, Mahsan Nourani, Manas Gupta, Lisa Anthony, Benjamin Lok
Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking. UIST (Adjunct Volume) 2021: 66-69 - 2020
- [i1]Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin:
Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR abs/2007.04756 (2020)
2010 – 2019
- 2019
- [c1]Manas Gupta, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte:
Monitoring Access to User Defined Areas with Multi-Agent Team in Urban Environments. MRS 2019: 56-62
Coauthor Index
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