Alert button

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

Full interpretable machine learning in 2D with inline coordinates

Jun 14, 2021
Boris Kovalerchuk, Hoang Phan

Figure 1 for Full interpretable machine learning in 2D with inline coordinates
Figure 2 for Full interpretable machine learning in 2D with inline coordinates
Figure 3 for Full interpretable machine learning in 2D with inline coordinates
Figure 4 for Full interpretable machine learning in 2D with inline coordinates
Viaarxiv icon

Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates

Jul 11, 2021
Rose McDonald, Boris Kovalerchuk

Figure 1 for Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
Figure 2 for Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
Figure 3 for Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
Figure 4 for Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
Viaarxiv icon

Causally Invariant Predictor with Shift-Robustness

Jul 05, 2021
Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu

Figure 1 for Causally Invariant Predictor with Shift-Robustness
Figure 2 for Causally Invariant Predictor with Shift-Robustness
Figure 3 for Causally Invariant Predictor with Shift-Robustness
Viaarxiv icon

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning

Jun 14, 2021
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

Figure 1 for NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
Figure 2 for NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
Figure 3 for NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
Figure 4 for NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
Viaarxiv icon

ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

Jun 06, 2021
Junyoung Park, Sanjar Bakhtiyar, Jinkyoo Park

Figure 1 for ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
Figure 2 for ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
Figure 3 for ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
Figure 4 for ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
Viaarxiv icon

Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders

Jun 14, 2021
Jinzi Qi, Hugo Van hamme

Figure 1 for Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders
Figure 2 for Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders
Figure 3 for Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders
Viaarxiv icon

Exploration and Incentives in Reinforcement Learning

Feb 28, 2021
Max Simchowitz, Aleksandrs Slivkins

Viaarxiv icon

Generating Artificial Core Users for Interpretable Condensed Data

Feb 06, 2021
Amy Nesky, Quentin F. Stout

Figure 1 for Generating Artificial Core Users for Interpretable Condensed Data
Figure 2 for Generating Artificial Core Users for Interpretable Condensed Data
Figure 3 for Generating Artificial Core Users for Interpretable Condensed Data
Figure 4 for Generating Artificial Core Users for Interpretable Condensed Data
Viaarxiv icon

Federated Myopic Community Detection with One-shot Communication

Jun 14, 2021
Chuyang Ke, Jean Honorio

Figure 1 for Federated Myopic Community Detection with One-shot Communication
Figure 2 for Federated Myopic Community Detection with One-shot Communication
Figure 3 for Federated Myopic Community Detection with One-shot Communication
Figure 4 for Federated Myopic Community Detection with One-shot Communication
Viaarxiv icon

Unbiased Self-Play

Jun 06, 2021
Shohei Ohsawa

Figure 1 for Unbiased Self-Play
Figure 2 for Unbiased Self-Play
Figure 3 for Unbiased Self-Play
Figure 4 for Unbiased Self-Play
Viaarxiv icon