Alert button

"Information": models, code, and papers
Alert button

Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses

Mar 26, 2021
Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan

Figure 1 for Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
Figure 2 for Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
Figure 3 for Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
Figure 4 for Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
Viaarxiv icon

On the Role of Images for Analyzing Claims in Social Media

Mar 17, 2021
Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth

Figure 1 for On the Role of Images for Analyzing Claims in Social Media
Figure 2 for On the Role of Images for Analyzing Claims in Social Media
Figure 3 for On the Role of Images for Analyzing Claims in Social Media
Viaarxiv icon

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

Apr 19, 2021
Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun

Figure 1 for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Figure 2 for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Figure 3 for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Figure 4 for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Viaarxiv icon

Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information

Sep 29, 2018
Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani

Figure 1 for Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Figure 2 for Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Figure 3 for Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Figure 4 for Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Viaarxiv icon

Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution

May 12, 2021
Robert A. Barton, Tal Neiman, Changhe Yuan

Figure 1 for Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
Figure 2 for Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
Figure 3 for Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
Figure 4 for Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
Viaarxiv icon

Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI

Feb 03, 2021
Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain, Mohiuddin Ahmad

Figure 1 for Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Figure 2 for Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Figure 3 for Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Figure 4 for Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Viaarxiv icon

TypeShift: A User Interface for Visualizing the Typing Production Process

Mar 07, 2021
Adam Goodkind

Figure 1 for TypeShift: A User Interface for Visualizing the Typing Production Process
Figure 2 for TypeShift: A User Interface for Visualizing the Typing Production Process
Figure 3 for TypeShift: A User Interface for Visualizing the Typing Production Process
Figure 4 for TypeShift: A User Interface for Visualizing the Typing Production Process
Viaarxiv icon

Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution

Jan 10, 2021
Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen

Figure 1 for Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Figure 2 for Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Figure 3 for Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Figure 4 for Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Viaarxiv icon

Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations

Apr 25, 2021
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti

Figure 1 for Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Figure 2 for Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Figure 3 for Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Figure 4 for Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Viaarxiv icon

Learning non-parametric Markov networks with mutual information

Aug 08, 2017
Janne Leppä-aho, Santeri Räisänen, Xiao Yang, Teemu Roos

Figure 1 for Learning non-parametric Markov networks with mutual information
Figure 2 for Learning non-parametric Markov networks with mutual information
Figure 3 for Learning non-parametric Markov networks with mutual information
Figure 4 for Learning non-parametric Markov networks with mutual information
Viaarxiv icon