Convolutional Neural Networks at Constrained Time Cost

4 December 2014

Papers citing "Convolutional Neural Networks at Constrained Time Cost"

50 / 214 papers shown

Title
Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems A. Scagliotti 21 13 0 24 Oct 2021
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling Yaxiong Yuan Lei Lei T. Vu Zheng Chang Symeon Chatzinotas Sumei Sun 37 20 0 13 Oct 2021
WHO-Hand Hygiene Gesture Classification System Rashmi Bakshi 19 3 0 06 Oct 2021
A Systematic Survey of Deep Learning-based Single-Image Super-Resolution Juncheng Li Zehua Pei Wenjie Li Guangwei Gao Longguang Wang Yingqian Wang T. Zeng 31 46 0 29 Sep 2021
Reconstructing Cosmic Polarization Rotation with ResUNet-CMB E. Guzman Joel Meyers 30 9 0 20 Sep 2021
Unifying Nonlocal Blocks for Neural Networks Lei Zhu Qi She Duo Li Yanye Lu Xuejing Kang Jie Hu Changhu Wang 14 23 0 05 Aug 2021
CNN based Channel Estimation using NOMA for mmWave Massive MIMO System S. AnuT Tara Raveendran 6 5 0 01 Aug 2021
Design Smells in Deep Learning Programs: An Empirical Study Amin Nikanjam Foutse Khomh 30 12 0 05 Jul 2021
Recurrent Inference Machines as inverse problem solvers for MR relaxometry E. Sabidussi S. Klein M. Caan S. Bazrafkan A. J. D. Dekker Jan Sijbers W. Niessen D. H. Poot 18 13 0 08 Jun 2021
Transformed ROIs for Capturing Visual Transformations in Videos Abhinav Rai Fadime Sener Angela Yao ViT 24 3 0 06 Jun 2021
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble Sara Kamran R. Zall M. Kangavari Saeid Hosseini Sana Rahmani Wenlan Hua 13 9 0 03 Jun 2021
A Voxel Graph CNN for Object Classification with Event Cameras Yongjian Deng Hao Chen Haiyan Liu Youfu Li GNN 18 54 0 01 Jun 2021
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations Amin Nikanjam Houssem Ben Braiek Mohammad Mehdi Morovati Foutse Khomh GNN 9 24 0 17 May 2021
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang Zhenyu Jiang Zhenda Xie Yue Cao Zheng-Wei Zhang Philip Torr Han Hu 43 5 0 12 May 2021
Compact CNN Structure Learning by Knowledge Distillation Waqar Ahmed Andrea Zunino Pietro Morerio Vittorio Murino 38 5 0 19 Apr 2021
Augmenting Deep Classifiers with Polynomial Neural Networks Grigorios G. Chrysos Markos Georgopoulos Jiankang Deng Jean Kossaifi Yannis Panagakis Anima Anandkumar 19 18 0 16 Apr 2021
BA^2M: A Batch Aware Attention Module for Image Classification Qishang Cheng Hongliang Li Qi Wu K. Ngan 22 6 0 28 Mar 2021
Stride and Translation Invariance in CNNs Coenraad Mouton Johannes C. Myburgh Marelie Hattingh Davel 25 29 0 18 Mar 2021
Analytically Tractable Inference in Deep Neural Networks L. Nguyen J. Goulet TPM BDL 16 3 0 09 Mar 2021
Bio-Inspired Representation Learning for Visual Attention Prediction Yuan Yuan Hailong Ning Xiaoqiang Lu 11 30 0 09 Mar 2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control Federico Venturini Federico Mason Francesco Pase Federico Chiariotti Alberto Testolin Andrea Zanella M. Zorzi 21 35 0 08 Mar 2021
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction Young-jin Kim Peng Wang Lyudmila Mihaylova GNN 31 16 0 03 Mar 2021
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition P. Sinha I. Psaromiligkos Z. Zilic 11 3 0 02 Mar 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 479 0 08 Feb 2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks Zhenzhong Wang Haokai Hong Kai Ye Min Jiang Kay Chen Tan AI4CE 54 31 0 08 Jan 2021
Reconstructing Patchy Reionization with Deep Learning E. Guzman Joel Meyers 22 5 0 04 Jan 2021
Universal Approximation Properties for an ODENet and a ResNet: Mathematical Analysis and Numerical Experiments Yuto Aizawa M. Kimura Kazunori Matsui 6 2 0 22 Dec 2020
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations Xingyu Zhao Wei Huang Xiaowei Huang Valentin Robu David Flynn FAtt 31 92 0 05 Dec 2020
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks Chuan-Chi Wang Ying-Chiao Liao Chia-Heng Tu Ming-Chang Kao Wen-Yew Liang Shih-Hao Hung 6 0 0 03 Dec 2020
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks Matthew T.C. Li L. Demanet Leonardo Zepeda-Núnez 35 8 0 24 Nov 2020
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification Zhao Ren Qiuqiang Kong Jing Han Mark D. Plumbley Björn W. Schuller 21 28 0 18 Nov 2020
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition Xiangyu Gao Guanbin Xing S. Roy Hui Liu 20 108 0 13 Nov 2020
IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications M. Pal B. Akshay Charan Teja 14 0 0 08 Oct 2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning Ming Yan Xueli Xiao Qiufeng Wang Yi Pan 31 0 0 23 Sep 2020
FLaPS: Federated Learning and Privately Scaling Sudipta Paul Poushali Sengupta Subhankar Mishra FedML 19 4 0 13 Sep 2020
Going deeper with brain morphometry using neural networks Rodrigo Santa Cruz Leo Lebrat Pierrick Bourgeat Vincent Doré Jason Dowling Jurgen Fripp Clinton Fookes Olivier Salvado 3DV MedIm 18 6 0 07 Sep 2020
Unsupervised and Supervised Structure Learning for Protein Contact Prediction S. Sun 17 0 0 31 Aug 2020
Adaptive Hierarchical Hyper-gradient Descent Renlong Jie Junbin Gao A. Vasnev Minh-Ngoc Tran 26 5 0 17 Aug 2020
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 22 109 0 10 Aug 2020
Regularized Flexible Activation Function Combinations for Deep Neural Networks Renlong Jie Junbin Gao A. Vasnev Minh-Ngoc Tran AI4CE 33 6 0 26 Jul 2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm Anthony Berthelier Yongzhe Yan T. Chateau C. Blanc S. Duffner Christophe Garcia 17 8 0 20 Jul 2020
Lightweight Modules for Efficient Deep Learning based Image Restoration A. Lahiri Sourav Bairagya Sutanu Bera Siddhant Haldar P. Biswas SupR 26 36 0 11 Jul 2020
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 16 51 0 09 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 11 292 0 25 Jun 2020
Object Tracking through Residual and Dense LSTMs Fabio Garcea A. Cucco Lia Morra Fabrizio Lamberti VOT 17 1 0 22 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach Kangfei Zhao Shengcai Liu Yu Rong Jianwei Yu 10 2 0 01 Jun 2020
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks Yikang Zhang Jian Zhang Qiang-qiang Wang Zhaobai Zhong 19 87 0 22 Apr 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images Xiaocong Chen Lina Yao Yu Zhang 31 197 0 12 Apr 2020
Learning Deep Graph Representations via Convolutional Neural Networks Wei Ye Omid Askarisichani Alex T. Jones Ambuj K. Singh SSL GNN 9 12 0 05 Apr 2020
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration Jian Wang Miaomiao Zhang FedML MedIm 19 61 0 05 Apr 2020