124 citations
- Intel (United States)US7 papers
- Georgia Institute of TechnologyUS5 papers
- ETH ZurichCH2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Indian Institute of Technology MadrasIN2 papers
- Max Planck Institute for AstrophysicsDE2 papers
- Menlo SchoolUS2 papers
- Robert Bosch (India)IN2 papers
- Arizona State UniversityUS1 paper
- Astronomical Observatory of RomeIT1 paper
- Atlanta Technical CollegeUS1 paper
- California Southern UniversityUS1 paper
4 papers · 1 filter
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu +3
As deep learning methods form a critical part in commercially important applications such as autonomous driving and medical diagnostics, it is important to reliably detect out-of-d…
Modeling Continuous Video QoE Evolution: A State Space Approach
Nagabhushan Eswara, Hemanth P. Sethuram, Soumen Chakraborty +3
A rapid increase in the video traffic together with an increasing demand for higher quality videos has put a significant load on content delivery networks in the recent years. Due…
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14
The state-of-the-art (SOTA) for mixed precision training is dominated by variants of low precision floating point operations, and in particular, FP16 accumulating into FP32 Micikev…
A Progressive Batching L-BFGS Method for Machine Learning
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal +2
The standard L-BFGS method relies on gradient approximations that are not dominated by noise, so that search directions are descent directions, the line search is reliable, and qua…