Alert button

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

Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment

Dec 14, 2022
Callum Rhodes, Cunjia Liu, Wen-Hua Chen

Figure 1 for Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment
Figure 2 for Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment
Figure 3 for Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment
Figure 4 for Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment
Viaarxiv icon

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks

Apr 08, 2023
Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou

Figure 1 for Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Figure 2 for Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Figure 3 for Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Figure 4 for Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Viaarxiv icon

Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems

Apr 08, 2023
Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

Figure 1 for Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
Figure 2 for Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
Figure 3 for Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
Figure 4 for Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
Viaarxiv icon

A Recommender System Approach for Very Large-scale Multiobjective Optimization

Apr 08, 2023
Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan

Figure 1 for A Recommender System Approach for Very Large-scale Multiobjective Optimization
Figure 2 for A Recommender System Approach for Very Large-scale Multiobjective Optimization
Figure 3 for A Recommender System Approach for Very Large-scale Multiobjective Optimization
Figure 4 for A Recommender System Approach for Very Large-scale Multiobjective Optimization
Viaarxiv icon

REDf: A Renewable Energy Demand Forecasting Model for Smart Grids using Long Short Term Memory Network

Apr 08, 2023
Md Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam, Md. Masuduzzaman

Figure 1 for REDf: A Renewable Energy Demand Forecasting Model for Smart Grids using Long Short Term Memory Network
Figure 2 for REDf: A Renewable Energy Demand Forecasting Model for Smart Grids using Long Short Term Memory Network
Figure 3 for REDf: A Renewable Energy Demand Forecasting Model for Smart Grids using Long Short Term Memory Network
Figure 4 for REDf: A Renewable Energy Demand Forecasting Model for Smart Grids using Long Short Term Memory Network
Viaarxiv icon

Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models

Mar 28, 2023
Akara Supratak, Peter Haddawy

Figure 1 for Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models
Figure 2 for Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models
Figure 3 for Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models
Figure 4 for Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models
Viaarxiv icon

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Feb 10, 2023
Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu

Figure 1 for EVC: Towards Real-Time Neural Image Compression with Mask Decay
Figure 2 for EVC: Towards Real-Time Neural Image Compression with Mask Decay
Figure 3 for EVC: Towards Real-Time Neural Image Compression with Mask Decay
Figure 4 for EVC: Towards Real-Time Neural Image Compression with Mask Decay
Viaarxiv icon

DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video

Mar 23, 2023
Ce Zheng, Guo-Jun Qi, Chen Chen

Figure 1 for DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Figure 2 for DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Figure 3 for DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Figure 4 for DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Viaarxiv icon

Random Inverse Problems Over Graphs: Decentralized Online Learning

Mar 23, 2023
Tao Li, Xiwei Zhang

Viaarxiv icon

It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting

Mar 23, 2023
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Figure 1 for It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Figure 2 for It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Figure 3 for It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Figure 4 for It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Viaarxiv icon