Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

6 February 2015

Papers citing "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification"

50 / 5,468 papers shown

Title
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 163 132 0 17 Jan 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization Hanna Tseran Guido Montúfar ODL 63 0 0 17 Jan 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network Yunyang Zhang Zhiqiang Gong Weien Zhou Xiaoyu Zhao Xiaohu Zheng Wen Yao AI4CE 56 25 0 17 Jan 2023
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure M. Fetanat Michael C. Stevens P. Jain C. Hayward Erik H. W. Meijering N. Lovell 61 24 0 16 Jan 2023
Computability of Optimizers Yunseok Lee Holger Boche Gitta Kutyniok 51 17 0 15 Jan 2023
Maximally Compact and Separated Features with Regular Polytope Networks F. Pernici Matteo Bruni C. Baecchi A. Bimbo 95 19 0 15 Jan 2023
Short-length SSVEP data extension by a novel generative adversarial networks based framework Yudong Pan Ning Li Yangsong Zhang Peng Xu Dezhong Yao 84 7 0 13 Jan 2023
Anti-aliasing Predictive Coding Network for Future Video Frame Prediction Chaofan Ling Wei-Hong Li Junpei Zhong 63 0 0 13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 103 21 0 12 Jan 2023
Deep Residual Axial Networks Nazmul Shahadat Anthony Maida 3DPC 116 6 0 11 Jan 2023
Padding Module: Learning the Padding in Deep Neural Networks Fahad Alrasheedi Agnibh Dasgupta Pei-Chi Huang KELM VLM 35 17 0 11 Jan 2023
SiFall: Practical Online Fall Detection with RF Sensing Sijie Ji Yaxiong Xie Mo Li 95 42 0 10 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick 117 6 0 09 Jan 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML 81 21 0 09 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 98 11 0 09 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning Jidong Ge YuXiang Liu Jie Gui Lanting Fang Ming Lin James T. Kwok LiGuo Huang B. Luo SSL 86 5 0 08 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Benlin Liu Jian Wu Jimeng Sun LMTD 165 27 0 07 Jan 2023
Skip-Attention: Improving Vision Transformers by Paying Less Attention Shashanka Venkataramanan Amir Ghodrati Yuki M. Asano Fatih Porikli A. Habibian ViT 107 30 0 05 Jan 2023
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection Usman Muhammad Jorma T. Laaksonen D. Beddiar Mourad Oussalah AAML CVBM 72 9 0 05 Jan 2023
Deep Learning for Breast MRI Style Transfer with Limited Training Data Shixing Cao Nicholas Konz James Duncan Maciej A. Mazurowski MedIm 122 14 0 05 Jan 2023
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image Ivan Bilić Filip Marić Ivan Marković Ivan Petrović 51 1 0 05 Jan 2023
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets Sheng Kuang Henry C. Woodruff R. Granzier T. Nijnatten M. Lobbes M. Smidt Philippe Lambin S. Mehrkanoon 92 16 0 04 Jan 2023
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations Sagnik Majumder Hao Jiang Pierre Moulon E. Henderson P. Calamia Kristen Grauman V. Ithapu EgoV 91 7 0 04 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging Yusheng Zhou Hao Li Tao Huang Zhengmin Kong Tao Huang Euijoon Ah Zhihan Lv Jinman Kim David Dagan Feng MedIm 87 1 0 04 Jan 2023
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T. Karl J. Wisnowski L. Petropoulos AI4TS 44 0 0 04 Jan 2023
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling Peng Wu Li Chen Hongyang Li Xiaosong Jia Junchi Yan Yu Qiao 160 29 0 03 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Sanghyun Woo Shoubhik Debnath Ronghang Hu Xinlei Chen Zhuang Liu In So Kweon Saining Xie SyDa 163 822 0 02 Jan 2023
Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications Zhe Ma W. Wu Fei Gao Xuemin X. Shen 51 12 0 02 Jan 2023
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach Daniel Abode Ramoni O. Adeogun Gilberto Berardinelli 26 14 0 30 Dec 2022
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation Xinyuan Chen Yangchen Xie Li Sun Yue Lu 66 4 0 30 Dec 2022
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks Maciej A. Czyzewski Daniel Nowak Kamila Piechowiak 66 3 0 28 Dec 2022
Shape-Aware Fine-Grained Classification of Erythroid Cells Ye Wang Rui Ma Xiaoqing Ma Honghua Cui Yubin Xiao Xuan Wu You Zhou 43 5 0 28 Dec 2022
Parsing Objects at a Finer Granularity: A Survey Yifan Zhao Jia Li Yonghong Tian 126 2 0 28 Dec 2022
NeRN -- Learning Neural Representations for Neural Networks Maor Ashkenazi Zohar Rimon Ron Vainshtein Shir Levi Elad Richardson Pinchas Mintz Eran Treister 3DH 92 13 0 27 Dec 2022
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program Tiange Luo Honglak Lee Justin Johnson 94 5 0 25 Dec 2022
Human Health Indicator Prediction from Gait Video Ziqing Li Xue-Jing Yu Xiaocong Lian Yifeng Wang Xiangyang Ji CVBM 43 0 0 25 Dec 2022
Eigenvalue initialisation and regularisation for Koopman autoencoders Jack W. Miller Charles OÑeill N. Constantinou Omri Azencot 64 2 0 23 Dec 2022
Deep set conditioned latent representations for action recognition Akash Singh Tom De Schepper Kevin Mets P. Hellinckx José Oramas Steven Latré BDL 69 2 0 21 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu Peter A. Beerel 94 9 0 20 Dec 2022
End to End Generative Meta Curriculum Learning For Medical Data Augmentation Meng Li Brian C. Lovell MedIm 96 4 0 20 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 95 1 0 16 Dec 2022
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 83 18 0 16 Dec 2022
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement Dongheon Lee Jung-Woo Choi 76 29 0 15 Dec 2022
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 74 1 0 14 Dec 2022
Maximal Initial Learning Rates in Deep ReLU Networks Gaurav M. Iyer Boris Hanin David Rolnick 81 10 0 14 Dec 2022
Low-Variance Forward Gradients using Direct Feedback Alignment and Momentum Florian Bacho Dominique F. Chu 61 8 0 14 Dec 2022
Simulator-Based Self-Supervision for Learned 3D Tomography Reconstruction Onni Kosomaa S. Laine Tero Karras M. Aittala J. Lehtinen 61 2 0 14 Dec 2022
On Mini-Batch Training with Varying Length Time Series Brian Kenji Iwana AI4TS 48 3 0 13 Dec 2022
Single Cell Training on Architecture Search for Image Denoising Bokyeung Lee Kyungdeuk Ko Jonghwan Hong Hanseok Ko 56 1 0 13 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 199 6 0 13 Dec 2022