Aadyot Bhatnagar

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All published works
Action Title Year Authors
+ PDF Chat Conditional Enzyme Generation Using Protein Language Models with Adapters 2024 Jason Yang
Aadyot Bhatnagar
Jeffrey A. Ruffolo
Ali Madani
+ Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion 2024 Alex Morehead
Jeffrey A. Ruffolo
Aadyot Bhatnagar
Ali Madani
+ Improved Online Conformal Prediction via Strongly Adaptive Online Learning 2023 Aadyot Bhatnagar
Huan Wang
Caiming Xiong
Yu Bai
+ Localized Calibration: Metrics and Recalibration. 2021 Rachel Luo
Aadyot Bhatnagar
Huan Wang
Caiming Xiong
Silvio Savarese
Yu Bai
Shengjia Zhao
Stefano Ermon
+ Merlion: A Machine Learning Library for Time Series 2021 Aadyot Bhatnagar
Paul Kassianik
Chenghao Liu
Tian Lan
Wenzhuo Yang
Rowan Cassius
Doyen Sahoo
Devansh Arpit
Sri Subramanian
Gerald Woo
+ Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE 2021 Devansh Arpit
Aadyot Bhatnagar
Huan Wang
Caiming Xiong
+ Local Calibration: Metrics and Recalibration 2021 Rachel Luo
Aadyot Bhatnagar
Yu Bai
Shengjia Zhao
Huan Wang
Caiming Xiong
Silvio Savarese
Stefano Ermon
Edward Schmerling
Marco Pavone
+ PDF Chat An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition 2020 Weiran Wang
Guangsen Wang
Aadyot Bhatnagar
Yingbo Zhou
Caiming Xiong
Richard Socher
+ PDF Chat An investigation of phone-based subword units for end-to-end speech recognition 2020 Weiran Wang
Guangsen Wang
Aadyot Bhatnagar
Yingbo Zhou
Caiming Xiong
Richard Socher
+ PDF Chat Voting Rules that are Unbiased but not Transitive-Symmetric 2020 Aadyot Bhatnagar
+ An investigation of phone-based subword units for end-to-end speech recognition 2020 Weiran Wang
Guangsen Wang
Aadyot Bhatnagar
Yingbo Zhou
Caiming Xiong
Richard Socher
+ PDF Chat Mapping the microscale origins of magnetic resonance image contrast with subcellular diamond magnetometry 2018 Hunter C. Davis
Pradeep Ramesh
Aadyot Bhatnagar
Audrey Lee‐Gosselin
John F. Barry
David R. Glenn
Ronald L. Walsworth
Mikhail G. Shapiro
+ Learning to Search via Retrospective Imitation 2018 Jialin Song
Ravi Lanka
Albert Zhao
Aadyot Bhatnagar
Yisong Yue
Masahiro Ono
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates 2018 Taku Kudo
2
+ PDF Chat Deep Learning Face Attributes in the Wild 2015 Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
2
+ On Using Monolingual Corpora in Neural Machine Translation 2015 Çaǧlar GĂŒlçehre
Orhan Fırat
Kelvin Xu
Kyunghyun Cho
LoĂŻc Barrault
Huei-Chi Lin
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ Deep Speech 2: End-to-End Speech Recognition in English and Mandarin 2015 Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
Bryan Catanzaro
Jingdong Chen
Mike Chrzanowski
Adam Coates
Greg Diamos
2
+ Wav2Letter: an End-to-End ConvNet-based Speech Recognition System 2016 Ronan Collobert
Christian Puhrsch
Gabriel Synnaeve
2
+ PDF Chat Jointly learning to align and convert graphemes to phonemes with neural attention models 2016 Shubham Toshniwal
Karen Livescu
2
+ The CAPIO 2017 Conversational Speech Recognition System 2018 Kyu J. Han
Akshay Chandrashekaran
Jungsuk Kim
Ian Lane
2
+ PDF Chat Improved Training of End-to-end Attention Models for Speech Recognition 2018 Albert Zeyer
Kazuki Irie
Ralf SchlĂŒter
Hermann Ney
2
+ PDF Chat Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling 2019 Hainan Xu
Shuoyang Ding
Shinji Watanabe
2
+ PDF Chat SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition 2019 Daniel Park
William Chan
Yu Zhang
Chung‐Cheng Chiu
Barret Zoph
Ekin D. Cubuk
Quoc V. Le
2
+ PDF Chat Streaming End-to-end Speech Recognition for Mobile Devices 2019 Yanzhang He
Tara N. Sainath
Rohit Prabhavalkar
Ian McGraw
Raziel Álvarez
Ding Zhao
David Rybach
Anjuli Kannan
Yonghui Wu
Ruoming Pang
2
+ PDF Chat ESPnet: End-to-End Speech Processing Toolkit 2018 Shinji Watanabe
Takaaki Hori
Shigeki Karita
Tomoki Hayashi
Jiro Nishitoba
Yuya Unno
Nelson Enrique Yalta Soplin
Jahn Heymann
Matthew Wiesner
Nanxin Chen
2
+ PDF Chat Neural Machine Translation of Rare Words with Subword Units 2016 Rico Sennrich
Barry Haddow
Alexandra Birch
2
+ PDF Chat Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition 2017 Shubham Toshniwal
Hao Tang
Liang Lu
Karen Livescu
2
+ PDF Chat Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer 2017 Kanishka Rao
HaƟim Sak
Rohit Prabhavalkar
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ PDF Chat Transformer Based Grapheme-to-Phoneme Conversion 2019 Sevinj Yolchuyeva
GĂ©za NĂ©meth
BĂĄlint Gyires-TĂłth
2
+ PDF Chat Very Deep Self-Attention Networks for End-to-End Speech Recognition 2019 Ngoc-Quan Pham
Thai‐Son Nguyen
Jan Niehues
Markus MĂŒller
Alex Waibel
2
+ PDF Chat A Comparative Study on Transformer vs RNN in Speech Applications 2019 Shigeki Karita
Nanxin Chen
Tomoki Hayashi
Takaaki Hori
Hirofumi Inaguma
Ziyan Jiang
Masao Someki
Nelson Enrique Yalta Soplin
Ryuichi Yamamoto
Xiaofei Wang
2
+ PDF Chat Espresso: A Fast End-to-End Neural Speech Recognition Toolkit 2019 Yiming Wang
Tongfei Chen
Xu H
Shuoyang Ding
Hang Lv
Yiwen Shao
Nanyun Peng
Lei Xie
Shinji Watanabe
Sanjeev Khudanpur
2
+ PDF Chat Representation Learning: A Review and New Perspectives 2013 Yoshua Bengio
Aaron Courville
P. M. Durai Raj Vincent
1
+ Continuous control with deep reinforcement learning 2015 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
1
+ On the Sentence Embeddings from Pre-trained Language Models 2020 Bohan Li
Hao Zhou
Junxian He
Mingxuan Wang
Yiming Yang
Lei Li
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ A kernel two-sample test 2012 Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
1
+ PDF Chat Optical magnetic detection of single-neuron action potentials using quantum defects in diamond 2016 John F. Barry
Matthew Turner
Jennifer M. Schloss
David R. Glenn
Yuyu Song
Mikhail D. Lukin
Hongkun Park
Ronald L. Walsworth
1
+ Isolation Forest 2008 Fei Tony Liu
Kai Ming Ting
Zhi‐Hua Zhou
1
+ Adversarially Learned Inference 2016 Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
MartĂ­n Arjovsky
Aaron Courville
1
+ Adversarial Feature Learning 2016 Jeff Donahue
Philipp KrĂ€henbĂŒhl
Trevor Darrell
1
+ PDF Chat Calibration of medical diagnostic classifier scores to the probability of disease 2016 Wei-Jie Chen
Berkman Sahiner
F. W. Samuelson
Aria Pezeshk
Nicholas Petrick
1
+ What makes ImageNet good for transfer learning 2016 Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
1
+ PDF Chat Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding 2018 Kyle Hundman
Valentino Constantinou
Christopher Laporte
Ian Colwell
Tom Söderström
1
+ PDF Chat Advances in all-neural speech recognition 2017 Geoffrey Zweig
Chengzhu Yu
Jasha Droppo
Andreas Stolcke
1
+ PDF Chat Inherent Tradeoffs in the Fair Determination of Risk Scores 2023 Manish Raghavan
1
+ PDF Chat Dual Contradistinctive Generative Autoencoder 2021 Gaurav Parmar
Dacheng Li
Kwonjoon Lee
Zhuowen Tu
1
+ Towards Principled Methods for Training Generative Adversarial Networks 2017 MartĂ­n Arjovsky
LĂ©on Bottou
1
+ Towards Deeper Understanding of Variational Autoencoding Models 2017 Shengjia Zhao
Jiaming Song
Stefano Ermon
1
+ What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 2017 Alex Kendall
Yarin Gal
1
+ Device Placement Optimization with Reinforcement Learning 2017 Azalia Mirhoseini
Hieu Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
Jeff Dean
1
+ From optimal transport to generative modeling: the VEGAN cookbook 2017 Olivier Bousquet
Sylvain Gelly
Ilya Tolstikhin
Carl-Johann Simon-Gabriel
Bernhard Schoelkopf
1
+ Wasserstein Auto-Encoders 2017 Ilya Tolstikhin
Olivier Bousquet
Sylvain Gelly
Bernhard Schoelkopf
1
+ Calibration for the (Computationally-Identifiable) Masses 2017 Úrsula HĂ©bert-Johnson
Michael P. Kim
Omer Reingold
Guy N. Rothblum
1
+ On the method of bounded differences 1989 Colin McDiarmid
1
+ A Simple Framework for Contrastive Learning of Visual Representations 2020 Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
1
+ Cramer-Wold AutoEncoder 2018 Szymon Knop
Jacek Tabor
PrzemysƂaw Spurek
Igor T. Podolak
Marcin Mazur
StanisƂaw JastrzÈ©bski
1
+ The M4 Competition: Results, findings, conclusion and way forward 2018 Spyros Makridakis
Evangelos Spiliotis
Vassilios Assimakopoulos
1
+ Sinkhorn AutoEncoders 2018 Giorgio Patrini
Rianne van den Berg
Patrick Forré
Marcello Carioni
Samarth Bhargav
Max Welling
Tim Genewein
Frank Nielsen
1
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
1
+ Diagnosing and Enhancing VAE Models 2019 Bin Dai
David Wipf
1
+ From Variational to Deterministic Autoencoders 2019 Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
1