2.2k citations · 5.9k across the 41 of their papers we have counts for
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cs.CV2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
Mohammed Dabbah, Ran El-yaniv
Focusing on discriminative zero-shot learning, in this work we introduce a novel mechanism that dynamically augments during training the set of seen classes to produce additional f…
cs.LG2021★ 4 cited
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil, Ran El-Yaniv
Deep neural networks (DNNs) have proven to be powerful predictors and are widely used for various tasks. Credible uncertainty estimation of their predictions, however, is crucial f…
cs.LG2021★ 4 cited
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
Shai Ben-Assayag, Ran El-Yaniv
Playing board games is considered a major challenge for both humans and AI researchers. Because some complicated board games are quite hard to learn, humans usually begin with play…