Vyas Raina

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models 2024 Vyas Raina
Mark Gales
+ PDF Chat Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models 2024 Vyas Raina
Rao Ma
Charles McGhee
Kate Knill
Mark Gales
+ PDF Chat LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History 2024 Akash Gupta
Ivaxi Sheth
Vyas Raina
Mark Gales
Mario Fritz
+ PDF Chat Extreme Miscalibration and the Illusion of Adversarial Robustness 2024 Vyas Raina
Samson Tan
Volkan Cevher
Aditya Rawal
Sheng Zha
George Karypis
+ PDF Chat Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment 2024 Vyas Raina
Adian Liusie
Mark Gales
+ Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM 2024 Xiaoding Lu
Adian Liusie
Vyas Raina
Kun Zhang
W. M. Beauchamp
+ Identifying Adversarially Attackable and Robust Samples 2023 Vyas Raina
Mark Gales
+ Rewarding Chatbots for Real-World Engagement with Millions of Users 2023 Robert L. Irvine
Douglas Boubert
Vyas Raina
Adian Liusie
Vineet Mudupalli
Aliaksei Korshuk
Zongyi Liu
Fritz Cremer
Valentin Assassi
Christie-Carol Beauchamp
+ Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems 2023 Vyas Raina
Mark Gales
+ CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models 2023 Potsawee Manakul
Yassir Fathullah
Adian Liusie
Vyas Raina
Vatsal Raina
Mark Gales
+ Sample Attackability in Natural Language Adversarial Attacks 2023 Vyas Raina
Mark Gales
+ CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models 2023 Potsawee Manakul
Yassir Fathullah
Adian Liusie
Vyas Raina
Vatsal Raina
Mark Gales
+ Sample Attackability in Natural Language Adversarial Attacks 2023 Vyas Raina
Mark Gales
+ Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems 2023 Vyas Raina
Mark Gales
+ Minimum Bayes’ Risk Decoding for System Combination of Grammatical Error Correction Systems 2023 Vyas Raina
Mark Gales
+ PDF Chat Residue-Based Natural Language Adversarial Attack Detection 2022 Vyas Raina
Mark Gales
+ Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment 2022 Vyas Raina
Mark Gales
+ L2 proficiency assessment using self-supervised speech representations 2022 Stefano BannĂČ
Kate Knill
Marco Matassoni
Vyas Raina
Mark Gales
+ Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks 2021 Andrey Malinin
Neil Band
Ganshin
Alexander -
German Chesnokov
Yarin Gal
Mark Gales
Alexey Noskov
Andrey Ploskonosov
Liudmila Prokhorenkova
+ Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks 2021 Andrey Malinin
Neil Band
Ganshin
Alexander -
German Chesnokov
Yarin Gal
Mark Gales
Alexey Noskov
Andrey Ploskonosov
Liudmila Prokhorenkova
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
3
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ PDF Chat High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics 2022 Markus Freitag
David Grangier
Qijun Tan
Bowen Liang
2
+ PDF Chat Improving Neural Machine Translation Models with Monolingual Data 2016 Rico Sennrich
Barry Haddow
Alexandra Birch
2
+ Language Models are Few-Shot Learners 2020 T. B. Brown
Benjamin F. Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
2
+ Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles 2016 Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
2
+ TextBugger: Generating Adversarial Text Against Real-world Applications 2019 Jinfeng Li
Shouling Ji
Tianyu Du
Bo Li
Ting Wang
2
+ Uncertainty Estimation in Autoregressive Structured Prediction 2020 Andrey Malinin
Mark Gales
2
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
2
+ PDF Chat Ensemble Distillation Approaches for Grammatical Error Correction 2021 Yassir Fathullah
Mark Gales
Andrey Malinin
2
+ ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators 2020 Kevin Clark
Minh-Thang Luong
Quoc V. Le
Christopher D. Manning
2
+ PDF Chat The relative performance of ensemble methods with deep convolutional neural networks for image classification 2018 Cheng Ju
Aurélien Bibaut
Mark van der Laan
1
+ Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control 2018 Rhiannon Michelmore
Marta Kwiatkowska
Yarin Gal
1
+ PDF Chat DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents 2017 Namhoon Lee
Wongun Choi
Paul Vernaza
Christopher Choy
Philip H. S. Torr
Manmohan Chandraker
1
+ PDF Chat Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics 2017 Xin Li
Fuxin Li
1
+ PDF Chat Universal Adversarial Perturbations 2017 Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
Pascal Frossard
1
+ Character-level Convolutional Networks for Text Classification 2015 Xiang Zhang
Junbo Zhao
Yann LeCun
1
+ PDF Chat Contributions to the Theory of Statistical Estimation and Testing Hypotheses 1939 Abraham Wald
1
+ Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples 2018 Minhao Cheng
Jinfeng Yi
Pin‐Yu Chen
Huan Zhang
Cho‐Jui Hsieh
1
+ Adversarial Active Learning for Deep Networks: a Margin Based Approach 2018 MĂ©lanie Ducoffe
Fƕed́eric Precioso
1
+ Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 2016 Yonghui Wu
Mike Schuster
Zhifeng Chen
Quoc V. Le
Mohammad Norouzi
Wolfgang Macherey
Maxim Krikun
Yuan Cao
Qin Gao
Klaus Macherey
1
+ Understanding Measures of Uncertainty for Adversarial Example Detection 2018 Lewis Smith
Yarin Gal
1
+ Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension 2018 Matthias Blohm
Glorianna Jagfeld
Ekta Sood
Yu Xiang
Ngoc Thang Vu
1
+ Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models 2018 Tong Niu
Mohit Bansal
1
+ Adversarial Reprogramming of Sequence Classification Neural Networks. 2018 Paarth Neekhara
Shehzeen Hussain
Shlomo Dubnov
Farinaz Koushanfar
1
+ Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models 2018 Mengying Sun
Fengyi Tang
Jinfeng Yi
Fei Wang
Jiayu Zhou
1
+ PDF Chat Generating Natural Language Adversarial Examples 2018 Moustafa Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani Srivastava
Kai-Wei Chang
1
+ Benchmarking Neural Network Robustness to Common Corruptions and Perturbations 2019 Dan Hendrycks
Thomas G. Dietterich
1
+ PDF Chat BioBERT: a pre-trained biomedical language representation model for biomedical text mining 2019 Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
1
+ HotFlip: White-Box Adversarial Examples for NLP 2017 Javid Ebrahimi
Anyi Rao
Daniel Lowd
Dejing Dou
1
+ Concrete Problems in AI Safety 2016 Dario Amodei
Chris Olah
Jacob Steinhardt
Paul F. Christiano
John Schulman
Dan Mané
1
+ Generating Natural Adversarial Examples 2017 Zhengli Zhao
Dheeru Dua
Sameer Singh
1
+ Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge 2018 Pasquale Minervini
Sebastian Riedel
1
+ Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness 2019 Andrey Malinin
Mark Gales
1
+ Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. 2017 Ishai Rosenberg
Asaf Shabtai
Lior Rokach
Yuval Elovici
1
+ PDF Chat SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents 2017 Ramesh Nallapati
Feifei Zhai
Bowen Zhou
1
+ Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks 2013 Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay Shet
1
+ Adversarial Perturbations Against Deep Neural Networks for Malware Classification 2016 Kathrin Grosse
Nicolas Papernot
Praveen Manoharan
Michael Backes
Patrick McDaniel
1
+ Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers 2018 Ji Gao
Jack Lanchantin
Mary Lou Soffa
Yanjun Qi
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat End-to-End Driving Via Conditional Imitation Learning 2018 Felipe Codevilla
Matthias MĂŒller
Antonio M. LĂłpez
Vladlen Koltun
Alexey Dosovitskiy
1
+ PDF Chat Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks 2018 Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
1
+ Grammatical Error Correction with Neural Reinforcement Learning 2017 Keisuke Sakaguchi
Matt Post
Benjamin Van Durme
1
+ Adversarial Example Generation with Syntactically Controlled Paraphrase Networks 2018 Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
1
+ Combating Adversarial Misspellings with Robust Word Recognition 2019 Danish Pruthi
Bhuwan Dhingra
Zachary C. Lipton
1
+ ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission 2019 Kexin Huang
Jaan Altosaar
Rajesh Ranganath
1
+ Adversarial Machine Learning at Scale 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
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
+ Towards Crafting Text Adversarial Samples 2017 Suranjana Samanta
Sameep Mehta
1