113 citations · 241 across the 31 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 4 cited
Tunable Sensitivity to Large Errors in Neural Network Training
Gil Keren, Sivan Sabato, Björn Schuller
When humans learn a new concept, they might ignore examples that they cannot make sense of at first, and only later focus on such examples, when they are more useful for learning.…
stat.ML2016★ 7 cited
Interactive algorithms: from pool to stream
Sivan Sabato, Tom Hess
We consider interactive algorithms in the pool-based setting, and in the stream-based setting. Interactive algorithms observe suggested elements (representing actions or queries),…