AdaNet: Adaptive Structural Learning of Artificial Neural Networks

5 July 2016

Papers citing "AdaNet: Adaptive Structural Learning of Artificial Neural Networks"

42 / 42 papers shown

Title
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 42 0 0 14 Apr 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 157 0 0 15 Jan 2025
Adaptive Neural Networks Using Residual Fitting N. Ford J. Winder Josh Mcclellan 14 0 0 13 Jan 2023
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization Shu-Bo Yang Yang Jiao Shaoyu Dou Mana Zheng Chen Zhu 14 0 0 11 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 22 7 0 30 Nov 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator Jaesung Yoo Sung-Hyuk Choi Yewon Yang Suhyeon Kim J. Choi ... H. J. Joo Dae-Jung Kim R. Park Hyeong-Jin Yoon Kwangsoo Kim KELM OffRL 35 0 0 17 Oct 2022
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat J. Kirchhof Evgeny Kusmenko Jonas Ritz Bernhard Rumpe Armin Moin A. Badii Stephan Günnemann Moharram Challenger 11 4 0 15 Sep 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 44 4 0 26 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 20 0 0 24 Aug 2022
Numerical Computation of Partial Differential Equations by Hidden-Layer Concatenated Extreme Learning Machine Naxian Ni S. Dong 22 20 0 24 Apr 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation Xueyi Liu Xiaomeng Xu Anyi Rao Chuang Gan L. Yi 3DPC 24 13 0 13 Mar 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 27 26 0 11 Jan 2022
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation Zhipeng Huang Zhizheng Zhang Cuiling Lan Wenjun Zeng Peng Chu Quanzeng You Jiang Wang Zicheng Liu Zhengjun Zha CLL 28 36 0 13 Dec 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning Chapman Siu Jason M. Traish R. Xu 21 2 0 19 Sep 2021
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 11 24 0 26 Oct 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 9 18 0 29 Jun 2020
Relative Deviation Margin Bounds Corinna Cortes M. Mohri A. Suresh 12 14 0 26 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 19 48 0 18 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 11 71 0 15 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 19 30 0 08 Jun 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi Natalie Frank M. Mohri AAML 26 56 0 28 Apr 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 20 29 0 01 Apr 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 8 81 0 19 Feb 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 23 313 0 25 Oct 2019
Residual Networks Behave Like Boosting Algorithms Chapman Siu 9 9 0 25 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik Tomas Pfister LMTD 8 1,280 0 20 Aug 2019
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 11 65 0 15 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 19 78 0 29 Apr 2019
DeepCaps: Going Deeper with Capsule Networks Jathushan Rajasegaran Vinoj Jayasundara S. Jayasekara Hirunima Jayasekara Suranga Seneviratne Ranga Rodrigo 3DPC 9 192 0 21 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 25 136 0 10 Apr 2019
Joint Neural Architecture Search and Quantization Yukang Chen Gaofeng Meng Qian Zhang Xinbang Zhang Liangchen Song Shiming Xiang Chunhong Pan MQ 18 29 0 23 Nov 2018
Teacher Guided Architecture Search P. Bashivan Mark Tensen J. DiCarlo 3DV 11 27 0 04 Aug 2018
Local Critic Training of Deep Neural Networks Hojung Lee Jong-Seok Lee 15 8 0 03 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 25 1,303 0 12 Mar 2018
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 22 25 0 25 Feb 2018
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 21 140 0 15 Sep 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016
Benefits of depth in neural networks Matus Telgarsky 125 602 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 177 1,185 0 30 Nov 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014