2.2k citations · 5.9k across the 41 of their papers we have counts for
3 papers · 1 filter
Window-Based Distribution Shift Detection for Deep Neural Networks
Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
To deploy and operate deep neural models in production, the quality of their predictions, which might be contaminated benignly or manipulated maliciously by input distributional de…
Which models are innately best at uncertainty estimation?
Ido Galil, Mohammed Dabbah, Ran El-Yaniv
Due to the comprehensive nature of this paper, it has been updated and split into two separate papers: "A Framework For Benchmarking Class-out-of-distribution Detection And Its App…
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv
This paper deals with deep transductive learning, and proposes TransBoost as a procedure for fine-tuning any deep neural model to improve its performance on any (unlabeled) test se…