42 citations · 62 across the 4 of their papers we have counts for
4 papers
Genome Variant Calling with a Deep Averaging Network
Nikolai Yakovenko, Avantika Lal, Johnny Israeli +1
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 th…
Practical Text Classification With Large Pre-Trained Language Models
Neel Kant, Raul Puri, Nikolai Yakovenko +1
Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data. We demonstrate that large-scale unsupervised langu…
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Raul Puri, Robert Kirby, Nikolai Yakovenko +1
Recent work has shown how to train Convolutional Neural Networks (CNNs) rapidly on large image datasets, then transfer the knowledge gained from these models to a variety of tasks.…
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games
Nikolai Yakovenko, Liangliang Cao, Colin Raffel +1
Poker is a family of card games that includes many variations. We hypothesize that most poker games can be solved as a pattern matching problem, and propose creating a strong poker…