R. David Evans

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 5

Top Topics

Regression Methods

Lossy Compression

Eliminating Redundant

Top Venues

J. Comput. Phys.

Publications

Mahsa Keramati, Lili Meng, R. David Evans
ConR: Contrastive Regularizer for Deep Imbalanced Regression. ICLR (2024)
Mahsa Keramati, Lili Meng, R. David Evans
ConR: Contrastive Regularizer for Deep Imbalanced Regression. CoRR (2023)
Jonathan S. Lew, Yunpeng Liu, Wenyi Gong, Negar Goli, R. David Evans, Tor M. Aamodt
Anticipating and eliminating redundant computations in accelerated sparse training. ISCA (2022)
R. David Evans, Tor M. Aamodt
AC-GC: Lossy Activation Compression with Guaranteed Convergence. NeurIPS (2021)
R. David Evans, Lufei Liu, Tor M. Aamodt
JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression. ISCA (2020)
R. David Evans, Luis A. Ricardez-Sandoval
Multi-scenario modelling of uncertainty in stochastic chemical systems. J. Comput. Phys. 273 (2014)