Ashish Vaswani

发表

Relational inductive biases, deep learning, and graph networks pdf

Razvan Pascanu, H. Francis Song, Jessica B. Hamrick, 2018, ArXiv.

Decoding with Large-Scale Neural Language Models Improves Translation

Ashish Vaswani, David Chiang, Yinggong Zhao, 2013, EMNLP.

Image Transformer pdf

Dustin Tran, Lukasz Kaiser, Ashish Vaswani, 2018, ICML.

Mesh-TensorFlow: Deep Learning for Supercomputers

Dustin Tran, Ashish Vaswani, Noam Shazeer, 2018, NeurIPS.

Tensor2Tensor for Neural Machine Translation

Samy Bengio, Lukasz Kaiser, Ashish Vaswani, 2018, AMTA.

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation pdf

Douglas Eck, Andrew M. Dai, Cheng-Zhi Anna Huang, 2018, ArXiv.

Music Transformer: Generating Music with Long-Term Structure

Andrew M. Dai, Cheng-Zhi Anna Huang, Monica Dinculescu, 2018, ICLR.

Learning Whom to Trust with MACE

Dirk Hovy, Ashish Vaswani, Eduard H. Hovy, 2013, NAACL.

Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States

Ashish Vaswani, Kenji Sagae, 2016, Transactions of the Association for Computational Linguistics.

Radiobot-CFF : A Spoken Dialogue S

Anton Leuski, Ashish Vaswani, David Traum, 2006 .

Music Transformer

Douglas Eck, Andrew M. Dai, Cheng-Zhi Anna Huang, 2018, 1809.04281.

Stand-Alone Self-Attention in Vision Models

Ashish Vaswani, Jonathon Shlens, Niki Parmar, 2019, NeurIPS.

Attention Augmented Convolutional Networks

Quoc V. Le, Ashish Vaswani, Jonathon Shlens, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Large Scale Multi-Domain Multi-Task Learning with MultiModel

Lukasz Kaiser, Ashish Vaswani, Jakob Uszkoreit, 2018 .

Studying Stand-Alone Self-Attention in Vision Models

Anselm Levskaya, Ashish Vaswani, Jonathon Shlens, 2019 .

o BNL-20062 QUANTITATION OF THE DEGREE OF OSTEOPOROSIS BY MEASURE OF TOTAL-BODY CALCIUM EMPLOYING NEUTRON ACTIVATION * by

Ashish Vaswani, S. Cohn, I. Zanzi, 2005 .

Leave Graphs Alone: Addressing Over-Squashing without Rewiring

George E. Dahl, N. Heess, Daan Wierstra, 2022 .

A Virtual Human for Tactical Questioning

Anton Leuski, Ashish Vaswani, David Traum, 2007, SIGDIAL 2007.

Unifying Grokking and Double Descent

Jessica B. Hamrick, George E. Dahl, Daan Wierstra, 2023, ArXiv.

Attention is All you Need pdf

Lukasz Kaiser, Ashish Vaswani, Jakob Uszkoreit, 2017, NIPS.

Fast, Greedy Model Minimization for Unsupervised Tagging

Ashish Vaswani, Kevin Knight, David Chiang, 2010, COLING.

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation pdf

Ashish Vaswani, Jason Baldridge, Alexander Ku, 2019, ACL.

One Model To Learn Them All pdf

Lukasz Kaiser, Ashish Vaswani, Jakob Uszkoreit, 2017, ArXiv.

Self-Attention with Relative Position Representations

Ashish Vaswani, Jakob Uszkoreit, Peter Shaw, 2018, NAACL.

Aligning context-based statistical models of language with brain activity during reading

Tom M. Mitchell, Ashish Vaswani, Kevin Knight, 2014, EMNLP.

Unsupervised Neural Hidden Markov Models

Daniel Marcu, Ashish Vaswani, Yonatan Bisk, 2016, SPNLP@EMNLP.

Efficient Content-Based Sparse Attention with Routing Transformers pdf

Aurko Roy, Ashish Vaswani, David Grangier, 2020, TACL.

Decoding the neural representation of story meanings across languages

Ashish Vaswani, Kingson Man, Morteza Dehghani, 2017, Human brain mapping.

Theory and Experiments on Vector Quantized Autoencoders pdf

Aurko Roy, Ashish Vaswani, Arvind Neelakantan, 2018, ArXiv.

Fast Decoding in Sequence Models using Discrete Latent Variables

Aurko Roy, Samy Bengio, Ashish Vaswani, 2018, ICML.

Credit Score Prediction Using Machine Learning

Ashish Vaswani, Debabrata Swain, Raunak Agrawal, 2021 .

Supertagging With LSTMs

Ashish Vaswani, Yonatan Bisk, Ryan Musa, 2016, NAACL.

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation

Andrew M. Dai, Cheng-Zhi Anna Huang, Ashish Vaswani, 2018, ArXiv.

Leave Graphs Alone: Addressing Over-Squashing without Rewiring

George E. Dahl, N. Heess, Daan Wierstra, 2022, ArXiv.

Relational inductive biases, deep learning, and graph networks

Jessica B. Hamrick, Kelsey R. Allen, George E. Dahl, 2018, ArXiv.

UvA-DARE (Digital Academic Repository) Unsupervised Neural Hidden Markov Models

Ashish Vaswani, Yonatan Bisk, Ke Tran, 2022 .

Documentary Linguistics and Computational Linguistics: A response to Brooks

Ashish Vaswani, Steven Bird, David Chiang, 2015 .