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
The Merit of River Network Topology for Neural Flood Forecasting Nikolas Kirschstein Yixuan Sun 62 2 0 30 May 2024
Exploiting Chaotic Dynamics as Deep Neural Networks Shuhong Liu Nozomi Akashi Qingyao Huang Yasuo Kuniyoshi Kohei Nakajima 54 4 0 29 May 2024
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation Islam I. Osman Mohamed S. Shehata 127 0 0 29 May 2024
Single image super-resolution based on trainable feature matching attention network Qizhou Chen Qing Shao SupR 96 17 0 29 May 2024
Semiring Activation in Neural Networks B. Smets Peter D. Donker Jim W. Portegies LLMSV 76 0 0 29 May 2024
Guidance and Control Networks with Periodic Activation Functions Sebastien Origer Dario Izzo 55 3 0 28 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 180 1 0 28 May 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution Yulong Mao Kaiyu Huang Changhao Guan Ganglin Bao Fengran Mo Jinan Xu 96 17 0 27 May 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 102 6 0 27 May 2024
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction Xiaohong Fan Ke-long Chen Huaming Yi Yin Yang Jianping Zhang 81 0 0 27 May 2024
Large Deviations of Gaussian Neural Networks with ReLU activation Quirin Vogel 45 1 0 27 May 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport Jeonghwan Cheon Sang Wan Lee Se-Bum Paik OOD 420 3 0 27 May 2024
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation Rongyu Zhang Aosong Cheng Yulin Luo Gaole Dai Huanrui Yang ... Ran Xu Li Du Yuan Du Yanbing Jiang Shanghang Zhang MoE TTA 95 6 0 26 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 251 10 0 26 May 2024
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters Xinyu Zhou Boris Knyazev Alexia Jolicoeur-Martineau Jie Fu AI4CE 76 0 0 25 May 2024
Expanded Gating Ranges Improve Activation Functions Allen Hao Huang AI4CE 105 0 0 25 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 124 1 0 25 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images Yiran Luo Joshua Forster Feinglass Tejas Gokhale Kuan-Cheng Lee Chitta Baral Yezhou Yang 88 0 0 24 May 2024
Can Implicit Bias Imply Adversarial Robustness? Hancheng Min Rene Vidal 90 3 0 24 May 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics Nolan Dey Shane Bergsma Joel Hestness 75 5 0 24 May 2024
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao Yingtao Zhang Xinghang Li Huaping Liu C. Cannistraci 59 1 0 24 May 2024
GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering Songyin Wu Deepak Vembar Anton Sochenov Selvakumar Panneer Sungye Kim Anton Kaplanyan Ling-Qi Yan 49 1 0 23 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 129 4 0 23 May 2024
Scalable Optimization in the Modular Norm Tim Large Yang Liu Minyoung Huh Hyojin Bahng Phillip Isola Jeremy Bernstein 85 16 0 23 May 2024
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Tudor Cebere A. Bellet Nicolas Papernot 108 13 0 23 May 2024
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 73 2 0 22 May 2024
Task agnostic continual learning with Pairwise layer architecture Santtu Keskinen CLL 67 1 0 22 May 2024
Deep linear networks for regression are implicitly regularized towards flat minima Pierre Marion Lénaic Chizat ODL 107 6 0 22 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li Jinli Tang Bo Zhang Lan Li De-Chuan Zhan 85 2 0 21 May 2024
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks Yichu Xu Xin-Chun Li Lan Li De-Chuan Zhan 87 2 0 21 May 2024
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product Toukir Ahmed Ocean Monjur Mohammed Kamruzzaman 49 20 0 20 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation Iveta Becková Stefan Pócos Giulia Belgiovine Marco Matarese A. Sciutti Carlo Mazzola Carlo Mazzola 130 0 0 20 May 2024
Active Exploration for Real-Time Haptic Training Jake Ketchum A. Prabhakar Todd Murphey 49 2 0 20 May 2024
Deep Ensemble Art Style Recognition Orfeas Menis Mastromichalakis Natasa Sofou Giorgos Stamou 3DPC 58 11 0 19 May 2024
A Method on Searching Better Activation Functions Haoyuan Sun Zihao Wu Bo Xia Pu Chang Zibin Dong Yifu Yuan Yongzhe Chang Xueqian Wang 61 3 0 19 May 2024
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation Bo Zhang Chao Yang PINN 85 3 0 18 May 2024
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi Yixuan Chen Mingzhi Dong Xiaochen Yang Dongsheng Li ... Yingying Zhao Fan Yang Tun Lu Ning Gu L. Shang MoMe 81 4 0 13 May 2024
State-Free Inference of State-Space Models: The Transfer Function Approach Rom N. Parnichkun Stefano Massaroli Alessandro Moro Jimmy T.H. Smith Ramin Hasani ... Hajime Asama Stefano Ermon Taiji Suzuki Atsushi Yamashita Michael Poli 94 9 0 10 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu ... Zhenghua Chen M. Aly Jie Lin Min-man Wu Xiaoli Li 85 1 0 09 May 2024
Deep Multi-Task Learning for Malware Image Classification A. Bensaoud Jugal Kalita 68 34 0 09 May 2024
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction Yue Cai Yu Luo Jie Ling Shun Yao 80 2 0 09 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 81 4 0 08 May 2024
HILCodec: High Fidelity and Lightweight Neural Audio Codec S. Ahn Beom Jun Woo Mingrui Han Chanyeong Moon Nam Soo Kim 43 9 0 08 May 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 69 3 0 07 May 2024
Salient Object Detection From Arbitrary Modalities Nianchang Huang Yang Yang Ruida Xi Qiang Zhang Jungong Han Jin Huang 97 1 0 06 May 2024
Adaptive deep density approximation for stochastic dynamical systems Junjie He Qifeng Liao Xiaoliang Wan 60 2 0 05 May 2024
From Generalization Analysis to Optimization Designs for State Space Models Fusheng Liu Qianxiao Li 70 8 0 04 May 2024
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition Xiaoyan Su Yinghao Zhu Run Li AAML 94 0 0 04 May 2024
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures Jiaqi Lin Malyaban Bal Abhronil Sengupta 66 2 0 04 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 90 1 0 03 May 2024