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 / 5,459 papers shown

Title
Evaluating Neural Networks Architectures for Spring Reverb Modelling Francesco Papaleo Xavier Lizarraga-Seijas Frederic Font 57 0 0 08 Sep 2024
Searching for Effective Preprocessing Method and CNN-based Architecture with Efficient Channel Attention on Speech Emotion Recognition Byunggun Kim Younghun Kwon 55 0 0 06 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes Oliver Weissl Evgenii Egorov 81 1 0 06 Sep 2024
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models Gabriel Y. Arteaga Thomas B. Schon Nicolas Pielawski 115 9 0 04 Sep 2024
Two-stage initial-value iterative physics-informed neural networks for simulating solitary waves of nonlinear wave equations Jin Song Ming Zhong George Karniadakis Zhenya Yan PINN 72 14 0 02 Sep 2024
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis Wangang Cheng Guanghua He Keli Hu Mingyu Fang Liang Dong Zhong Li Hancan Zhu 81 0 0 02 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning Zhixiang Shen Zhao Kang 83 4 0 01 Sep 2024
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes Rahul Khorana 65 0 0 29 Aug 2024
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology Kuan-Lin Chen Bhaskar D. Rao 70 1 0 29 Aug 2024
Implicit Regularization Paths of Weighted Neural Representations Jin-Hong Du Pratik Patil 72 0 0 28 Aug 2024
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems Jin-Duk Park Kyung-Min Kim Won-Yong Shin KELM CLL 66 3 0 25 Aug 2024
Interpretable breast cancer classification using CNNs on mammographic images Ann-Kristin Balve Peter Hendrix 27 2 0 23 Aug 2024
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring Oshana Dissanayake Lucile Riaboff Sarah McPherson Emer Kennedy Pádraig Cunningham 63 0 0 23 Aug 2024
Universal dimensions of visual representation Zirui Chen Michael F. Bonner 23 3 0 23 Aug 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 252 4 0 23 Aug 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 118 2 0 23 Aug 2024
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda ViT 69 2 0 22 Aug 2024
From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification Jakub Olczak Max Gordon 31 0 0 22 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 84 0 0 22 Aug 2024
Using Part-based Representations for Explainable Deep Reinforcement Learning Manos Kirtas Konstantinos Tsampazis Loukia Avramelou Nikolaos Passalis Anastasios Tefas 62 0 0 21 Aug 2024
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer Georgios Is. Detorakis 138 0 0 21 Aug 2024
Modelling the Distribution of Human Motion for Sign Language Assessment Oliver Cory Ozge Mercanoglu Sincan M. Vowels A. Battisti F. Holzknecht Katja Tissi Sandra Sidler-Miserez Tobias Haug Sarah Ebling Richard Bowden 107 1 0 19 Aug 2024
Efficient Area-based and Speaker-Agnostic Source Separation Martin Strauss Okan Kopuklu 60 3 0 19 Aug 2024
Joint-perturbation simultaneous pseudo-gradient Carlos Martin Tuomas Sandholm 58 2 0 17 Aug 2024
A theory of understanding for artificial intelligence: composability, catalysts, and learning Zijian Zhang Sara Aronowitz Alán Aspuru-Guzik 48 0 0 16 Aug 2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang Weisen Jiang Shuai Fu Yu Zhang AAML 81 0 0 15 Aug 2024
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints Navid Shervani-Tabar Marzieh Alireza Mirhoseini Robert Rosenbaum AAML AI4CE 120 0 0 15 Aug 2024
The Restaurant Meal Delivery Problem with Ghost Kitchens Gal Neria Florentin D Hildebrandt M. Tzur M. Ulmer 23 1 0 14 Aug 2024
Efficient Search for Customized Activation Functions with Gradient Descent Lukas Strack Mahmoud Safari Frank Hutter 71 1 0 13 Aug 2024
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models Ridwan Alam Collin M. Stultz 49 0 0 12 Aug 2024
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting Pratik Shukla Milton Halem AI4Cl AI4CE 73 0 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 105 0 0 11 Aug 2024
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 Tom Lieberum Senthooran Rajamanoharan Arthur Conmy Lewis Smith Nicolas Sonnerat Vikrant Varma János Kramár Anca Dragan Rohin Shah Neel Nanda 118 128 0 09 Aug 2024
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis D. M. Yalcinkaya Khalid Youssef Bobak Heydari Janet Wei N. Merz ... R. Dharmakumar Orlando Simonetti J. Weinsaft Subha V. Raman Behzad Sharif 40 0 0 09 Aug 2024
The Ungrounded Alignment Problem Marc Pickett Aakash Kumar Nain Joseph Modayil Llion Jones 60 0 0 08 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 161 7 0 07 Aug 2024
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks Chandramouli Kamanchi Sumanta Mukherjee K. Sampath Pankaj Dayama Arindam Jati Vijay Ekambaram Dzung Phan 81 0 0 07 Aug 2024
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective Taeyoung Kim Myungjoo Kang 57 0 0 04 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 56 1 0 02 Aug 2024
Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis Ben Cao Tiantian He Rachid Jennane Yuhua Ru Qiang Zhang Mohamed Jarraya MedIm 69 2 0 01 Aug 2024
A new approach for encoding code and assisting code understanding Mengdan Fan Changde Du Haiyan Zhao Zhi Jin 146 0 0 01 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 131 13 0 31 Jul 2024
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness S. Lee Minsuk Chang Seokhyeon Park Jinwook Seo 96 2 0 30 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 90 5 0 30 Jul 2024
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems Lorenzo Brevi Antonio Mandarino Enrico Prati 39 3 0 30 Jul 2024
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training Weiyu Huang Yuezhou Hu Guohao Jian Jun Zhu Jianfei Chen 107 8 0 30 Jul 2024
Contextuality Helps Representation Learning for Generalized Category Discovery Tingzhang Luo Mingxuan Du Jiatao Shi Xinxiang Chen Bingchen Zhao Shaoguang Huang 72 4 0 29 Jul 2024
Competition-based Adaptive ReLU for Deep Neural Networks Junjia Chen Zhibin Pan 37 0 0 28 Jul 2024
FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representation Hao Zhu Zhen Liu Qi Zhang Jingde Fu Weibing Deng Zhan Ma Yanwen Guo Xun Cao 90 1 0 28 Jul 2024
Spring-block theory of feature learning in deep neural networks Chengzhi Shi Liming Pan Ivan Dokmanić AI4CE 132 1 0 28 Jul 2024