Alert button

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

Flexible Operations for Natural Language Deduction

Apr 18, 2021
Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett

Figure 1 for Flexible Operations for Natural Language Deduction
Figure 2 for Flexible Operations for Natural Language Deduction
Figure 3 for Flexible Operations for Natural Language Deduction
Figure 4 for Flexible Operations for Natural Language Deduction
Viaarxiv icon

MonoGRNet: A General Framework for Monocular 3D Object Detection

Apr 18, 2021
Zengyi Qin, Jinglu Wang, Yan Lu

Figure 1 for MonoGRNet: A General Framework for Monocular 3D Object Detection
Figure 2 for MonoGRNet: A General Framework for Monocular 3D Object Detection
Figure 3 for MonoGRNet: A General Framework for Monocular 3D Object Detection
Figure 4 for MonoGRNet: A General Framework for Monocular 3D Object Detection
Viaarxiv icon

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks

Nov 13, 2017
Stephan Baier, Sigurd Spieckermann, Volker Tresp

Figure 1 for Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks
Figure 2 for Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks
Viaarxiv icon

An effective and friendly tool for seed image analysis

Mar 31, 2021
Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta

Figure 1 for An effective and friendly tool for seed image analysis
Figure 2 for An effective and friendly tool for seed image analysis
Figure 3 for An effective and friendly tool for seed image analysis
Figure 4 for An effective and friendly tool for seed image analysis
Viaarxiv icon

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

Mar 26, 2021
Omer San, Adil Rasheed, Trond Kvamsdal

Figure 1 for Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Figure 2 for Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Figure 3 for Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Figure 4 for Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Viaarxiv icon

Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture

Feb 10, 2021
Michael del Hougne, Sylvain Gigan, Philipp del Hougne

Figure 1 for Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture
Figure 2 for Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture
Figure 3 for Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture
Figure 4 for Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture
Viaarxiv icon

Generating 3D structures from a 2D slice with GAN-based dimensionality expansion

Feb 10, 2021
Steve Kench, Samuel J. Cooper

Figure 1 for Generating 3D structures from a 2D slice with GAN-based dimensionality expansion
Figure 2 for Generating 3D structures from a 2D slice with GAN-based dimensionality expansion
Figure 3 for Generating 3D structures from a 2D slice with GAN-based dimensionality expansion
Figure 4 for Generating 3D structures from a 2D slice with GAN-based dimensionality expansion
Viaarxiv icon

PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments

Feb 10, 2021
Sung-Kyun Kim, Amanda Bouman, Gautam Salhotra, David D. Fan, Kyohei Otsu, Joel Burdick, Ali-akbar Agha-mohammadi

Figure 1 for PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Figure 2 for PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Figure 3 for PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Figure 4 for PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Viaarxiv icon

Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks

Mar 15, 2021
Ryumei Nakada, Masaaki Imaizumi

Figure 1 for Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
Figure 2 for Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
Figure 3 for Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
Figure 4 for Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
Viaarxiv icon

Gigapixel Histopathological Image Analysis using Attention-based Neural Networks

Jan 25, 2021
Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria frucci

Figure 1 for Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Figure 2 for Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Figure 3 for Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Figure 4 for Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Viaarxiv icon