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ORCIDShibhansh Dohare
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2020 – today
- 2024
[j1]Shibhansh Dohare
, J. Fernando Hernandez-Garcia, Qingfeng Lan, Parash Rahman, A. Rupam Mahmood, Richard S. Sutton:
Loss of plasticity in deep continual learning. Nat. 632(8026): 768-774 (2024)- 2023
- [c3]Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu:
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS 2023: 1932-1941 - [i6]Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu:
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR abs/2302.06548 (2023) - [i5]Shibhansh Dohare, J. Fernando Hernandez-Garcia, Parash Rahman, Richard S. Sutton, A. Rupam Mahmood:
Maintaining Plasticity in Deep Continual Learning. CoRR abs/2306.13812 (2023) - 2021
- [i4]Shibhansh Dohare, A. Rupam Mahmood, Richard S. Sutton:
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness. CoRR abs/2108.06325 (2021) - 2020
- [c2]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI 2020: 5717-5725
2010 – 2019
- 2019
- [i3]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR abs/1911.07794 (2019) - 2018
- [c1]Shibhansh Dohare, Vivek Gupta, Harish Karnick:
Unsupervised Semantic Abstractive Summarization. ACL (3) 2018: 74-83 - 2017
- [i2]Shibhansh Dohare, Harish Karnick:
Text Summarization using Abstract Meaning Representation. CoRR abs/1706.01678 (2017) - [i1]Siddhartha Saxena, Shibhansh Dohare, Jaivardhan Kapoor:
Variational Inference via Transformations on Distributions. CoRR abs/1707.02510 (2017)
Coauthor Index
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