R. David Evans

According to our database, R. David Evans authored at least 5 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

ConR: Contrastive Regularizer for Deep Imbalanced Regression.

Mahsa Keramati, Lili Meng, R. David Evans

CoRR, 2023

2022

Anticipating and eliminating redundant computations in accelerated sparse training.

Jonathan S. Lew, Yunpeng Liu, Wenyi Gong, Negar Goli, R. David Evans, Tor M. Aamodt

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

AC-GC: Lossy Activation Compression with Guaranteed Convergence.

R. David Evans, Tor M. Aamodt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression.

R. David Evans, Lufei Liu, Tor M. Aamodt

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2014

Multi-scenario modelling of uncertainty in stochastic chemical systems.

R. David Evans, Luis A. Ricardez-Sandoval

J. Comput. Phys., 2014