no code implementations • 13 Mar 2020 • Nikolai Yakovenko, Avantika Lal, Johnny Israeli, Bryan Catanzaro
Variant calling, the problem of estimating whether a position in a DNA sequence differs from a reference sequence, given noisy, redundant, overlapping short sequences that cover that position, is fundamental to genomics.
1 code implementation • 4 Dec 2018 • Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro
Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data.
Ranked #3 on Emotion Classification on SemEval 2018 Task 1E-c (Macro-F1 metric)
1 code implementation • 3 Aug 2018 • Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro
We provide a learning rate schedule that allows our model to converge with a 32k batch size.
no code implementations • 22 Sep 2015 • Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan
The contributions of this paper include: (1) a novel representation for poker games, extendable to different poker variations, (2) a CNN based learning model that can effectively learn the patterns in three different games, and (3) a self-trained system that significantly beats the heuristic-based program on which it is trained, and our system is competitive against human expert players.