Alert button

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

Player of Games

Dec 06, 2021
Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, Zach Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling

Figure 1 for Player of Games
Figure 2 for Player of Games
Figure 3 for Player of Games
Figure 4 for Player of Games
Viaarxiv icon

All in One: Exploring Unified Video-Language Pre-training

Mar 14, 2022
Alex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Figure 1 for All in One: Exploring Unified Video-Language Pre-training
Figure 2 for All in One: Exploring Unified Video-Language Pre-training
Figure 3 for All in One: Exploring Unified Video-Language Pre-training
Figure 4 for All in One: Exploring Unified Video-Language Pre-training
Viaarxiv icon

A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information

Feb 19, 2021
Cindy Trinh, Richard Combes

Figure 1 for A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Figure 2 for A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Figure 3 for A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Figure 4 for A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Viaarxiv icon

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations

Dec 08, 2021
Arash Asgharivaskasi, Nikolay Atanasov

Figure 1 for Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
Figure 2 for Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
Figure 3 for Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
Figure 4 for Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
Viaarxiv icon

Fisher information under local differential privacy

May 21, 2020
Leighton Pate Barnes, Wei-Ning Chen, Ayfer Ozgur

Figure 1 for Fisher information under local differential privacy
Figure 2 for Fisher information under local differential privacy
Viaarxiv icon

Interpretable Reinforcement Learning with Multilevel Subgoal Discovery

Feb 15, 2022
Alexander Demin, Denis Ponomaryov

Figure 1 for Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
Figure 2 for Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
Figure 3 for Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
Figure 4 for Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
Viaarxiv icon

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming

Mar 02, 2022
Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner

Figure 1 for Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Figure 2 for Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Figure 3 for Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Figure 4 for Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Viaarxiv icon

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Mar 17, 2022
Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen

Figure 1 for Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Figure 2 for Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Figure 3 for Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Figure 4 for Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Viaarxiv icon

A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs

Feb 26, 2022
Hongyu Zhu, Stefan Klus, Tuhin Sahai

Figure 1 for A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
Figure 2 for A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
Figure 3 for A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
Figure 4 for A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
Viaarxiv icon

Understanding microbiome dynamics via interpretable graph representation learning

Mar 02, 2022
Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad

Figure 1 for Understanding microbiome dynamics via interpretable graph representation learning
Figure 2 for Understanding microbiome dynamics via interpretable graph representation learning
Figure 3 for Understanding microbiome dynamics via interpretable graph representation learning
Figure 4 for Understanding microbiome dynamics via interpretable graph representation learning
Viaarxiv icon