David Berthelot

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 20

Top Topics

Supervised Learning

Improve The Classification Accuracy

Labeled Examples

Domain Adaptation

Top Venues

Publications

David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR (2023)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR (2022)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR (2021)
Jeremy Nixon, Jeremiah Liu, David Berthelot
Semi-Supervised Class Discovery. CoRR (2020)
Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei Huang, Kyriacos Koupparis, Bernhard Kowatsch
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. CoRR (2020)
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR (2020)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR (2020)
Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot
High Accuracy and High Fidelity Extraction of Neural Networks. USENIX Security Symposium (2020)
Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS (2020)
David Berthelot, Peyman Milanfar, Ian J. Goodfellow
Creating High Resolution Images with a Latent Adversarial Generator. CoRR (2020)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR (2019)
David Berthelot, Colin Raffel, Aurko Roy, Ian J. Goodfellow
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. ICLR (Poster) (2019)
Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot
High-Fidelity Extraction of Neural Network Models. CoRR (2019)
David Berthelot, Nicholas Carlini, Ian J. Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel
MixMatch: A Holistic Approach to Semi-Supervised Learning. CoRR (2019)
David Berthelot, Nicholas Carlini, Ian J. Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel
MixMatch: A Holistic Approach to Semi-Supervised Learning. NeurIPS (2019)
Shuang Song, David Berthelot, Afshin Rostamizadeh
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels. CoRR (2019)
David Berthelot, Colin Raffel, Aurko Roy, Ian J. Goodfellow
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. CoRR (2018)
David Berthelot, Tom Schumm, Luke Metz
BEGAN: Boundary Equilibrium Generative Adversarial Networks. CoRR (2017)
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. CoRR (2016)
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. ACL (1) (2016)
Hamid Savoj, David Berthelot, Alan Mishchenko, Robert K. Brayton
Combinational techniques for sequential equivalence checking. FMCAD (2010)
David Berthelot, Samit Chaudhuri, Hamid Savoj
An Efficient Linear Time Algorithm for Scan Chain Optimization and Repartitioning. ITC (2002)
Emmanuel Chauveau, Claire Lassudrie, David Berthelot
Analysis of Risks in a Software Improvement Programme. PROFES (2002)
David Berthelot, Marie-Lise Flottes, Bruno Rouzeyre
A Method for Trading off Test Time, Area and Fault Coverage in Datapath BIST Synthesis. J. Electron. Test. 17 (3-4) (2001)
David Berthelot, Marie-Lise Flottes, Bruno Rouzeyre
BISTing data paths at behavioral level. ITC (2000)
David Berthelot, Marie-Lise Flottes, Bruno Rouzeyre
A method for trading off test time, area and fault coverage in datapath BIST synthesis. ETW (2000)
David Berthelot, Marie-Lise Flottes, Bruno Rouzeyre
BISTing Datapaths under Heterogeneous Test Schemes. J. Electron. Test. 14 (1-2) (1999)