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cs.LG2022★ 1 cited
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra, Skyler Seto, Navdeep Jaitly +1
Multi-Exit models (MEMs) use an early-exit strategy to improve the accuracy and efficiency of deep neural networks (DNNs) by allowing samples to exit the network before the last la…
cs.LG2022
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen +1
Domain Generalization (DG) aims to learn models whose performance remains high on unseen domains encountered at test-time by using data from multiple related source domains. Many e…