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"Time": models, code, and papers
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Transform and Bitstream Domain Image Classification

Oct 13, 2021
P. R. Hill, D. R. Bull

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Differentiable NAS Framework and Application to Ads CTR Prediction

Oct 25, 2021
Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer

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Learned Optimizers for Analytic Continuation

Jul 28, 2021
Dongchen Huang, Yi-feng Yang

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Biologically Plausible Learning Rules for Perceptual Systems that Maximize Mutual Information

Sep 07, 2021
Tao Liu

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Learning suction graspability considering grasp quality and robot reachability for bin-picking

Nov 04, 2021
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, Junichiro Ooga, Haifeng Han, Atsushi Sugahara, Seiji Tokura, Haruna Eto, Kazuma Komoda, Akihito Ogawa

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Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration

Nov 16, 2021
Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb

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Developing a Meta-suggestion Engine for Search Query

Oct 25, 2021
Seungmin Kim, EunChan Na, Seong Baeg Kim

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Simulation and Model Checking for Close to Realtime Overtaking Planning

Oct 25, 2021
Daumantas Pagojus, Alice Miller, Bernd Porr, Ivaylo Valkov

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Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture

May 30, 2021
Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee

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FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing

Oct 19, 2021
Xumin Huang, Peichun Li, Rong Yu, Yuan Wu, Kan Xie, Shengli Xie

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