R. David Evans

According to our database1, R. David Evans authored at least 5 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
ConR: Contrastive Regularizer for Deep Imbalanced Regression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
Anticipating and eliminating redundant computations in accelerated sparse training.
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.
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.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2014
Multi-scenario modelling of uncertainty in stochastic chemical systems.
J. Comput. Phys., 2014


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