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 / 5,463 papers shown

Title
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models Neal Lawton Anoop Kumar Govind Thattai Aram Galstyan Greg Ver Steeg 47 19 0 26 May 2023
Most Neural Networks Are Almost Learnable Amit Daniely Nathan Srebro Gal Vardi 57 0 0 25 May 2023
Data Topology-Dependent Upper Bounds of Neural Network Widths Sangmin Lee Jong Chul Ye 72 1 0 25 May 2023
Learning to Act through Evolution of Neural Diversity in Random Neural Networks J. Pedersen S. Risi 53 2 0 25 May 2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers Sotiris Anagnostidis Dario Pavllo Luca Biggio Lorenzo Noci Aurelien Lucchi Thomas Hofmann 101 57 0 25 May 2023
Block-local learning with probabilistic latent representations David Kappel Khaleelulla Khan Nazeer Cabrel Teguemne Fokam Christian Mayr Anand Subramoney 77 4 0 24 May 2023
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation Yiheng Jiang Yuanbo Xu Yongjian Yang Funing Yang Pengyang Wang Hui Xiong 92 2 0 24 May 2023
Transferring Learning Trajectories of Neural Networks Daiki Chijiwa 60 3 0 23 May 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension Moritz Haas David Holzmüller U. V. Luxburg Ingo Steinwart MLT 102 14 0 23 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 86 3 0 23 May 2023
Modulation Extraction for LFO-driven Audio Effects Christopher Mitcheltree C. Steinmetz Marco Comunità Joshua D. Reiss 77 4 0 22 May 2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model Peter Súkeník Marco Mondelli Christoph H. Lampert 63 27 0 22 May 2023
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search A. B. Chowdhury Marco Romanelli Benjamin Tan Ramesh Karri S. Garg 62 2 0 22 May 2023
VanillaNet: the Power of Minimalism in Deep Learning Hanting Chen Yunhe Wang Jianyuan Guo Dacheng Tao VLM 90 94 0 22 May 2023
Generalizable synthetic MRI with physics-informed convolutional networks Luuk Jacobs S. Mandija Hongyan Liu C. D. Berg A. Sbrizzi M. Maspero OOD MedIm 49 3 0 21 May 2023
Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG Classification A. Avetisyan Shahane Tigranyan A. Asatryan O. Mashkova Sergey Skorik V. Ananev Yury Markin LM&MA 59 5 0 19 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 102 0 0 19 May 2023
Exploring the Complexity of Deep Neural Networks through Functional Equivalence Guohao Shen 103 4 0 19 May 2023
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages Soroosh Tayebi Arasteh C. D. Ríos-Urrego E. Noeth Andreas K. Maier Seung Hee Yang J. Rusz J. Orozco-Arroyave FedML 76 17 0 18 May 2023
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation Soumyadeep Hore Jalal Ghadermazi Diwas Paudel Ankit Shah Tapas K. Das Nathaniel D. Bastian AAML 59 15 0 18 May 2023
Noise-Aware Speech Separation with Contrastive Learning Zizheng Zhang Cheng Chen Hsin-Hung Chen Xiang Liu Yuchen Hu Eng Siong Chng 79 5 0 18 May 2023
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network Shuang Chen Amir Atapour-Abarghouei Edmond S. L. Ho Hubert P. H. Shum 111 5 0 17 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 77 17 0 17 May 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python Joanna Komorniczak Pawel Ksieniewicz 3DV 64 3 0 16 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 90 12 0 16 May 2023
Deep ReLU Networks Have Surprisingly Simple Polytopes Fenglei Fan Wei Huang Xiang-yu Zhong Lecheng Ruan T. Zeng Huan Xiong Fei Wang 112 5 0 16 May 2023
Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library Zhiyi Zhang Pengfei Zhang Qi Wang 48 1 0 15 May 2023
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation Abdul Rehman Khan Asifullah Khan ViT MedIm 93 14 0 15 May 2023
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning Md. Rabiul Islam Daniel Massicotte P. Massicotte Wei-Ping Zhu 36 15 0 13 May 2023
Successive Affine Learning for Deep Neural Networks Yuesheng Xu 54 2 0 13 May 2023
Spiking Network Initialisation and Firing Rate Collapse Nicolas Perez Nieves Dan F. M. Goodman 100 2 0 13 May 2023
Depth Dependence of $μ$ P Learning Rates in ReLU MLPs Samy Jelassi Boris Hanin Ziwei Ji Sashank J. Reddi Srinadh Bhojanapalli Surinder Kumar 63 6 0 13 May 2023
Saturated Non-Monotonic Activation Functions Junjia Chen Zhibin Pan 28 1 0 12 May 2023
Online Learning Under A Separable Stochastic Approximation Framework Min Gan Xiang-Xiang Su Guang-yong Chen Jing Chen 66 0 0 12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 124 19 0 12 May 2023
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks Burak Ercan O. Eker Canberk Saglam Aykut Erdem Erkut Erdem VGen 91 27 0 10 May 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 127 78 0 10 May 2023
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments N. Bayramoglu M. Englund I. Haugen M. Ishijima S. Saarakkala AI4CE 34 3 0 10 May 2023
Fully Bayesian VIB-DeepSSM Jadie Adams Shireen Y. Elhabian 59 10 0 09 May 2023
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks M. Hasan Md. Ali Hossain Azmain Yakin Srizon Abu Sayeed 64 1 0 08 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 71 10 0 08 May 2023
Medical records condensation: a roadmap towards healthcare data democratisation Yujiang Wang A. Thakur Mingzhi Dong Pingchuan Ma Stavros Petridis Li Shang T. Zhu David Clifton MedIm 57 1 0 05 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 70 6 0 05 May 2023
Reconstructing Training Data from Multiclass Neural Networks G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Michal Irani 47 4 0 05 May 2023
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging R. W. Baldwin V. Asari Keigo Hirakawa 54 0 0 05 May 2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization Mu Li Kanglong Fan Kede Ma 110 4 0 04 May 2023
A Curriculum View of Robust Loss Functions Zebin Ou Yue Zhang NoLa 77 0 0 03 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 160 37 0 29 Apr 2023
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration Weng-Tai Su Yi-Chun Hung Po-Jen Yu Shang-Hua Yang Chia-Wen Lin 36 8 0 28 Apr 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 96 8 0 28 Apr 2023