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Universal learning networks with branch control

K. Hirasawa, Jinglu Hu, Qingyu Xiong, J. Murata, Y. Shiraishi
2000 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium  
In this paper, Universal Learning Network with Branch Control (ULN with BC) is proposed, which consists of basic networks and branch control networks.  ...  The branch control network can be used to determine which branches of the basic network should be used. This determination depends on the inputs or the network flow of the basic network.  ...  Universal Learning Network with Branch Control 2.1 Basic Structure Universal Learning Network with Branch Control (ULN with BC) is a network whose branches are connected or disconnected depending on the  ... 
doi:10.1109/ijcnn.2000.861287 dblp:conf/ijcnn/HirasawaHXMS00 fatcat:ts35hzlu4jfcfgribknm2ftyuq

Education Board

2015 Microbe Magazine  
Led by teaching and learning experts Jennifer Bennett (Otterbein University), Clark Coffman (Iowa State University), Byrn "Boots" Quimby (University of Maryland-College Park), and Laura Runyen-Janecky  ...  With that in mind, the Branch hypothesized that offering CEUs might pave the way for clinical scientists to become involved in the Branch and could provide the opportunity for students to interact with  ... 
doi:10.1128/microbe.10.169.1 fatcat:hjuxola3xfg55lrxiqwyrim2ci

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition [article]

Boyan Zhou and Quan Cui and Xiu-Shen Wei and Zhao-Min Chen
2020 arXiv   pre-print
Therefore, we propose a unified Bilateral-Branch Network (BBN) to take care of both representation learning and classifier learning simultaneously, where each branch does perform its own duty separately  ...  In particular, our BBN model is further equipped with a novel cumulative learning strategy, which is designed to first learn the universal patterns and then pay attention to the tail data gradually.  ...  More importantly, α could further control the parameter updating of each branch, which, for example, avoids damaging the learned universal features when emphasizing the tail data at the later periods of  ... 
arXiv:1912.02413v4 fatcat:pfruiytwivanjlrer6daf4eede

International Affairs

2015 Microbe Magazine  
With that in mind, the Branch hypothesized that offering CEUs might pave the way for clinical scientists to become involved in the Branch and could provide the opportunity for students to interact with  ...  professors at local colleges and universities.  ... 
doi:10.1128/microbe.10.171.1 fatcat:kadhqh7umzcaddqrvqg2d7kohu

Branches: ASM Activity at the Local Level

Michael G Schmidt, Amy M. Woron
2015 Microbe Magazine  
professors at local colleges and universities.  ...  For information on other programming and networking opportunities available through ASM Branches, visit www.asm.org/branches. Mike Schmidt  ... 
doi:10.1128/microbe.10.171.2 fatcat:kvimdjkmz5dqxg3t3me6jyu4rq

Branches: ASM Activities at the Local Level:

Michael G. Schmidt
2012 Microbe Magazine  
Through Chapters, students and/or postdoctoral fellows at a single university or from multiple institutions within a Branch area assemble as a focused group, and together with the Branch, tailor programming  ...  Control and Prevention, Center for Global Health, Division of Global HIV/ AIDS.  ... 
doi:10.1128/microbe.7.481.1 fatcat:kyqawm6cfzh2tasxcofb3odmxi

Multiple Pathways to the Student's Brain: An Appropriate Tool to Impact on EFL Learners' Stress, Anxiety, Depression, and Perceived Supportive Learning Climate

Jila Naeini, Javanshir Asadi, Nasrin Sadat Azami
2020 Journal of English Language Pedagogy and Practice  
studying TEFL at Islamic Azad University, Gorgan Branch, were placed into two experimental and control groups, respectively.  ...  The participants, who were selected through a convenient sampling method, included 30 BA University students studying TEFL at Islamic Azad University, Aliabad Katoul Branch, and 30 BA University students  ...  Thirty BA university students studying TEFL at Islamic Azad University, Aliabad Katoul Branch, and 30 BA university students studying TEFL at Gorgan Branch, were placed into two experimental and control  ... 
doi:10.30495/jal.2020.676935 doaj:f6a8730b12624a77a333a3fb5fdad74a fatcat:irkxqdt2bvaqfkoptavawffpfy

Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching [article]

Dingwen Zhang, Wenyuan Zeng, Guangyu Guo, Chaowei Fang, Lechao Cheng, Ming-Ming Cheng, Junwei Han
2022 arXiv   pre-print
With the shared feature extraction backbone, our model is able to facilitate knowledge sharing between the two components while preserving a low computational complexity.  ...  In this way, the student branch can help prevent the model from falling into local minimum solutions caused by the imperfect knowledge provided of either teacher branch.  ...  Then, the object location knowledge and structure knowledge would be selectively distilled via an alternate KD controller to guide the learning process of the student network branch, which enables the  ... 
arXiv:2112.09459v2 fatcat:76gfdhrvqfeivamwbkvm3th3me

A Study on the Prediction of Program Complexity Section for Offloading Execution Decision

Jaehyun Kim, Yangsun Lee
2019 International Journal of Control and Automation  
In this paper, we predicted a program area complexity based on deep learning to solve this problem.  ...  Although the offloading technique has solved the problem that the performance of the virtual machine is dependent on the performance of the IoT device being operated, there is a network cost due to the  ...  ACKNOWLEDGEMENTS This research was supported by Seokyeong University in 2019.  ... 
doi:10.33832/ijca.2019.12.8.10 fatcat:juw32vmvbfg2niwgb4wjvcfnky

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Therefore, we propose a unified Bilateral-Branch Network (BBN) to take care of both representation learning and classifier learning simultaneously, where each branch does perform its own duty separately  ...  In particular, our BBN model is further equipped with a novel cumulative learning strategy, which is designed to first learn the universal patterns and then pay attention to the tail data gradually.  ...  As the name suggests, the conventional learning branch equipped with the typical uniform sampler w.r.t. the original data distribution is responsible for learning universal patterns for recognition.  ... 
doi:10.1109/cvpr42600.2020.00974 dblp:conf/cvpr/ZhouCWC20 fatcat:iyfkvorksfbrtd3wnynbnk56n4

Power Grid Cascading Failure Mitigation by Reinforcement Learning [article]

Yongli Zhu
2021 arXiv   pre-print
Besides, both shallow and deep neural network architectures are tested.  ...  This paper proposes a cascading failure mitigation strategy based on Reinforcement Learning (RL).  ...  A is a constant matrix to associate the (net) nodal power injections with the branch flows.  ... 
arXiv:2108.10424v1 fatcat:b7spb55l6rcgfdkhavteyc3uwe

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning [article]

Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni
2018 arXiv   pre-print
We propose a novel framework, Assisted Reinforcement Learning, where a classical controller (e.g. a PID controller) is used as an alternative, switchable policy to speed up training of DRL for local planning  ...  The core idea is that the simple control law allows the robot to rapidly learn sensible primitives, like driving in a straight line, instead of random exploration.  ...  For example, the network learns to go around obstacles more easily with P(1, 1) than with others. With P(10, 1), the network learns much slower due to the confusing guidance from the controller.  ... 
arXiv:1812.05027v1 fatcat:g6ff57lvozgnnb33jpl47x5zli

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning

Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni
2018 2018 IEEE International Conference on Robotics and Automation (ICRA)  
We propose a novel framework, Assisted Reinforcement Learning, where a classical controller (e.g. a PID controller) is used as an alternative, switchable policy to speed up training of DRL for local planning  ...  The core idea is that the simple control law allows the robot to rapidly learn sensible primitives, like driving in a straight line, instead of random exploration.  ...  For example, the network learns to go around obstacles more easily with P(1, 1) than with others. With P(10, 1), the network learns much slower due to the confusing guidance from the controller.  ... 
doi:10.1109/icra.2018.8461203 dblp:conf/icra/XieWRMT18 fatcat:gqhgt3tvhngadckc6giatfjgiq

Location Instruction-based Motion Generation for Sequential Robotic Manipulation

Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Teng Xue, Jin Qi
2020 IEEE Access  
Deep learning-based visuomotor control for manipulation are studied recently, which uses a neural network to learn the mapping from images to robotic actions directly.  ...  The proposed framework mainly consists of three modules: the AutoEncoder (AE) network, the motion generation network and the location detection network.  ...  It means that the motion generation network combines semantic understanding with motion control.  ... 
doi:10.1109/access.2020.2971570 fatcat:n2ji76pjxbbvdg65dniuvuygce

Designing an Emotional Intelligent Controller for IPFC to Improve the Transient Stability Based on Energy Function

Ehsan Jafari, Ali Marjanian, Soodabeh Solaymani, Ghazanfar Shahgholian
2013 Journal of Electrical Engineering and Technology  
In order to control IPFC, a Brain Emotional Learning Based Intelligent Controller (BELBIC) and PI controller have been used.  ...  This intelligent control is based on the limbic system of the mammalian brain. Simulation confirms the ability of BELBIC controller compared with conventional PI controller.  ...  Fig. 3 . 3 IPFC injected powers model with two series branches.  ... 
doi:10.5370/jeet.2013.8.3.478 fatcat:meytoabvtfhehg4lehqpzhhxme
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