Text Summarization using Abstract Meaning Representation. - Shibhansh Dohare; Harish Karnick (CoRR, 2017)

Variational Inference via Transformations on Distributions. - Siddhartha Saxena; Shibhansh Dohare; Jaivardhan Kapoor (CoRR, 2017)

Unsupervised Semantic Abstractive Summarization. - Shibhansh Dohare; Vivek Gupta 001; Harish Karnick (ACL (3), 2018)

Gamma-Nets: Generalizing Value Estimation over Timescale. - Craig Sherstan; Shibhansh Dohare; James MacGlashan; Johannes Günther 002; Patrick M. Pilarski (AAAI, 2020)

Continual Backprop: Stochastic Gradient Descent with Persistent Randomness. - Shibhansh Dohare; A. Rupam Mahmood; Richard S. Sutton (CoRR, 2021)

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. - Bram Grooten; Ghada Sokar; Shibhansh Dohare; Elena Mocanu; Matthew E. Taylor; Mykola Pechenizkiy; Decebal Constantin Mocanu (AAMAS, 2023)

Maintaining Plasticity in Deep Continual Learning. - Shibhansh Dohare; J. Fernando Hernandez-Garcia; Parash Rahman; Richard S. Sutton; A. Rupam Mahmood (CoRR, 2023)

Loss of plasticity in deep continual learning. - Shibhansh Dohare; J. Fernando Hernandez-Garcia; Qingfeng Lan; Parash Rahman; A. Rupam Mahmood; Richard S. Sutton (Nat., 2024)

Reinitializing weights vs units for maintaining plasticity in neural networks. - J. Fernando Hernandez-Garcia; Shibhansh Dohare; Jun Luo 009; Richard S. Sutton (CoRR, 2025)