184 citations · 242 across the 7 of their papers we have counts for
7 papers
Insertion-Deletion Transformer
Laura Ruis, Mitchell Stern, Julia Proskurnia +1
We propose the Insertion-Deletion Transformer, a novel transformer-based neural architecture and training method for sequence generation. The model consists of two phases that are…
The Destruction of the Axiom of Determinacy by Forcings on when is Regular
William Chan, Stephen Jackson
proves that for all nontrivial forcings on a wellorderable set of cardinality less than , . $…
Cardinality of Wellordered Disjoint Unions of Quotients of Smooth Equivalence Relations
William Chan, Stephen Jackson
Assume . Let denote the relation of being in bijection. Let and be a se…
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang, William Chan, Navdeep Jaitly
Sequence-to-sequence models have shown success in end-to-end speech recognition. However these models have only used shallow acoustic encoder networks. In our work, we successively…
Latent Sequence Decompositions
William Chan, Yu Zhang, Quoc Le +1
We present the Latent Sequence Decompositions (LSD) framework. LSD decomposes sequences with variable lengthed output units as a function of both the input sequence and the output…