Alert button

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

Towards Autonomous Excavation Planning

Aug 22, 2023
Lorenzo Terenzi, Marco Hutter

Figure 1 for Towards Autonomous Excavation Planning
Figure 2 for Towards Autonomous Excavation Planning
Figure 3 for Towards Autonomous Excavation Planning
Figure 4 for Towards Autonomous Excavation Planning
Viaarxiv icon

Evaluation of Deep Neural Operator Models toward Ocean Forecasting

Aug 22, 2023
Ellery Rajagopal, Anantha N. S. Babu, Tony Ryu, Patrick J. Haley Jr., Chris Mirabito, Pierre F. J. Lermusiaux

Figure 1 for Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Figure 2 for Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Figure 3 for Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Figure 4 for Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Viaarxiv icon

META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection

Aug 17, 2023
Jinbo Hu, Yin Cao, Ming Wu, Feiran Yang, Ziying Yu, Wenwu Wang, Mark D. Plumbley, Jun Yang

Figure 1 for META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
Figure 2 for META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
Figure 3 for META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
Viaarxiv icon

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

Aug 25, 2023
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi

Figure 1 for TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Figure 2 for TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Figure 3 for TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Figure 4 for TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Viaarxiv icon

A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition

Aug 25, 2023
Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, Huibin Chang

Figure 1 for A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
Figure 2 for A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
Figure 3 for A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
Figure 4 for A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
Viaarxiv icon

FrFT based estimation of linear and nonlinear impairments using Vision Transformer

Aug 25, 2023
Ting Jiang, Zheng Gao, Yizhao Chen, Zihe Hu, Ming Tang

Figure 1 for FrFT based estimation of linear and nonlinear impairments using Vision Transformer
Figure 2 for FrFT based estimation of linear and nonlinear impairments using Vision Transformer
Figure 3 for FrFT based estimation of linear and nonlinear impairments using Vision Transformer
Figure 4 for FrFT based estimation of linear and nonlinear impairments using Vision Transformer
Viaarxiv icon

MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

Aug 25, 2023
Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou

Figure 1 for MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Figure 2 for MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Figure 3 for MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Figure 4 for MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Viaarxiv icon

A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data

Aug 25, 2023
Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber

Figure 1 for A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Figure 2 for A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Figure 3 for A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Figure 4 for A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Viaarxiv icon

Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration

Jun 09, 2023
Moshe Zisser, Dvir Aran

Figure 1 for Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Figure 2 for Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Figure 3 for Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Figure 4 for Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Viaarxiv icon

Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks

Jul 19, 2023
Giovanni Angelo Meles, Macarena Amaya, Shiran Levy, Stefano Marelli, Niklas Linde

Figure 1 for Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks
Figure 2 for Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks
Figure 3 for Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks
Figure 4 for Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks
Viaarxiv icon