More from the Same Authors

• 2022 : Continuous Soft Pseudo-Labeling in ASR »
  Tatiana Likhomanenko · Ronan Collobert · Navdeep Jaitly · Samy Bengio
• 2022 : Mitigating Lies in Vision-Language Models »
  Junbo Li · Xianhang Li · Cihang Xie
• 2022 Poster: Handcrafted Backdoors in Deep Neural Networks »
  Sanghyun Hong · Nicholas Carlini · Alexey Kurakin
• 2022 Poster: Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing »
  Nataniel Ruiz · Sarah Bargal · Cihang Xie · Kate Saenko · Stan Sclaroff
• 2022 Poster: Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures »
  Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang
• 2022 Poster: Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks »
  Sizhe Chen · Zhehao Huang · Qinghua Tao · Yingwen Wu · Cihang Xie · Xiaolin Huang
• 2021 Poster: Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding »
  Yang Li · Si Si · Gang Li · Cho-Jui Hsieh · Samy Bengio
• 2021 Poster: Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss »
  Michael Iuzzolino · Michael Mozer · Samy Bengio
• 2021 Poster: Are Transformers more robust than CNNs? »
  Yutong Bai · Jieru Mei · Alan Yuille · Cihang Xie
• 2021 Poster: Accumulative Poisoning Attacks on Real-time Data »
  Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
• 2020 Poster: Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards »
  Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee
• 2020 Poster: Efficient Learning of Generative Models via Finite-Difference Score Matching »
  Tianyu Pang · Kun Xu · Chongxuan LI · Yang Song · Stefano Ermon · Jun Zhu
• 2020 Poster: Boosting Adversarial Training with Hypersphere Embedding »
  Tianyu Pang · Xiao Yang · Yinpeng Dong · Kun Xu · Jun Zhu · Hang Su
• 2020 Poster: Adversarial Distributional Training for Robust Deep Learning »
  Yinpeng Dong · Zhijie Deng · Tianyu Pang · Jun Zhu · Hang Su
• 2020 Poster: Understanding and Exploring the Network with Stochastic Architectures »
  Zhijie Deng · Yinpeng Dong · Shifeng Zhang · Jun Zhu
• 2020 : Dr. Samy Bengio (Google Brain) »
  Samy Bengio
• 2019 : Contributed Session - Spotlight Talks »
  Jonathan Frankle · David Schwab · Ari Morcos · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Sho Yaida · Muqiao Yang
• 2019 : Lunch Break and Posters »
  Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu
• 2019 Poster: Transfusion: Understanding Transfer Learning for Medical Imaging »
  Maithra Raghu · Chiyuan Zhang · Jon Kleinberg · Samy Bengio
• 2019 Poster: Improving Black-box Adversarial Attacks with a Transfer-based Prior »
  Shuyu Cheng · Yinpeng Dong · Tianyu Pang · Hang Su · Jun Zhu
• 2019 Poster: Untangling in Invariant Speech Recognition »
  Cory Stephenson · Jenelle Feather · Suchismita Padhy · Oguz Elibol · Hanlin Tang · Josh McDermott · SueYeon Chung
• 2018 : Panel Discussion »
  Rich Caruana · Mike Schuster · Ralf Schlüter · Hynek Hermansky · Renato De Mori · Samy Bengio · Michiel Bacchiani · Jason Eisner
• 2018 : Invited talk 1: Scalable PATE and the Secret Sharer »
  Ian Goodfellow
• 2018 : Adversarial Vision Challenge: Black-box Attacks with Small Search Subspace and Covariance Matrix Adaptation of Perturbation Noise »
  Shuyu Cheng · Yinpeng Dong
• 2018 Poster: Large Margin Deep Networks for Classification »
  Gamaleldin Elsayed · Dilip Krishnan · Hossein Mobahi · Kevin Regan · Samy Bengio
• 2018 Poster: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
  Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow
• 2018 Spotlight: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
  Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow
• 2018 Poster: Insights on representational similarity in neural networks with canonical correlation »
  Ari Morcos · Maithra Raghu · Samy Bengio
• 2018 Poster: Sanity Checks for Saliency Maps »
  Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
• 2018 Spotlight: Sanity Checks for Saliency Maps »
  Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
• 2018 Poster: Towards Robust Detection of Adversarial Examples »
  Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
• 2018 Spotlight: Towards Robust Detection of Adversarial Examples »
  Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
• 2018 Poster: Adversarial Examples that Fool both Computer Vision and Time-Limited Humans »
  Gamaleldin Elsayed · Shreya Shankar · Brian Cheung · Nicolas Papernot · Alexey Kurakin · Ian Goodfellow · Jascha Sohl-Dickstein
• 2018 Poster: Content preserving text generation with attribute controls »
  Lajanugen Logeswaran · Honglak Lee · Samy Bengio
• 2017 : Invited Talk: Overcoming Limited Data with GANs »
  Ian Goodfellow
• 2017 : Adversarial Robustness for Aligned AI »
  Ian Goodfellow
• 2017 : Defending Against Adversarial Examples »
  Ian Goodfellow
• 2017 : Invited Talk »
  Ian Goodfellow
• 2017 Workshop: Machine Deception »
  Ian Goodfellow · Tim Hwang · Bryce Goodman · Mikel Rodriguez
• 2017 Poster: Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks »
  Urs Köster · Tristan Webb · Xin Wang · Marcel Nassar · Arjun K Bansal · William Constable · Oguz Elibol · Stewart Hall · Luke Hornof · Amir Khosrowshahi · Carey Kloss · Ruby J Pai · Naveen Rao
• 2016 Workshop: Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces »
  Moustapha Cisse · Manik Varma · Samy Bengio
• 2016 Poster: Can Active Memory Replace Attention? »
  Łukasz Kaiser · Samy Bengio
• 2016 Poster: An Online Sequence-to-Sequence Model Using Partial Conditioning »
  Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio
• 2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
  Mohammad Norouzi · Samy Bengio · zhifeng Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans
• 2016 Poster: Unsupervised Learning for Physical Interaction through Video Prediction »
  Chelsea Finn · Ian Goodfellow · Sergey Levine
• 2015 Poster: Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks »
  Samy Bengio · Oriol Vinyals · Navdeep Jaitly · Noam Shazeer
• 2014 Poster: Generative Adversarial Nets »
  Ian Goodfellow · Jean Pouget-Abadie · Mehdi Mirza · Bing Xu · David Warde-Farley · Sherjil Ozair · Aaron Courville · Yoshua Bengio
• 2013 Workshop: Output Representation Learning »
  Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser
• 2013 Poster: DeViSE: A Deep Visual-Semantic Embedding Model »
  Andrea Frome · Greg Corrado · Jonathon Shlens · Samy Bengio · Jeff Dean · Marc'Aurelio Ranzato · Tomas Mikolov
• 2013 Poster: Multi-Prediction Deep Boltzmann Machines »
  Ian Goodfellow · Mehdi Mirza · Aaron Courville · Yoshua Bengio
• 2012 Workshop: Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval »
  Jia Deng · Samy Bengio · Yuanqing Lin · Li Fei-Fei
• 2010 Poster: Label Embedding Trees for Large Multi-Class Tasks »
  Samy Bengio · Jason E Weston · David Grangier
• 2009 Poster: Measuring Invariances in Deep Networks »
  Ian Goodfellow · Quoc V. Le · Andrew M Saxe · Andrew Y Ng
• 2009 Poster: Group Sparse Coding »
  Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow
• 2009 Poster: An Online Algorithm for Large Scale Image Similarity Learning »
  Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio
• 2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 2) »
  Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov
• 2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 1) »
  Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov
• 2006 Workshop: Learning to Compare Examples »
  David Grangier · Samy Bengio