Empirical Evaluation of Rectified Activations in Convolutional Network

5 May 2015

Papers citing "Empirical Evaluation of Rectified Activations in Convolutional Network"

50 / 869 papers shown

Title
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 34 8 0 17 Nov 2023
Progression and Challenges of IoT in Healthcare: A Short Review S. M. A. Rahman Sifat Ibtisum Priya Podder S. M. S. Hossain 23 17 0 11 Nov 2023
Multi-View Causal Representation Learning with Partial Observability Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 42 30 0 07 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation Iman Abbasnejad Fabio Zambetta Flora D. Salim Timothy Wiley Jeffrey Chan Russell Gallagher Ehsan Abbasnejad GAN 16 0 0 07 Nov 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion Kunze Wang S. Han Josiah Poon 18 3 0 24 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification Pierre Colombo Nathan Noiry Guillaume Staerman Pablo Piantanida FaML DRL 35 1 0 21 Oct 2023
Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait Markus Gambietz Marlies Nitschke J. Miehling A. Koelewijn 16 2 0 18 Oct 2023
Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection Qinrui Tang Hao Cheng 18 3 0 17 Oct 2023
A Non-monotonic Smooth Activation Function Koushik Biswas Meghana Karri Ulacs Baugci 16 1 0 16 Oct 2023
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network Md Sohag Mia Abdullah Al Bary Voban Abu Bakor Hayat Arnob Abdu Naim Md Kawsar Ahmed Md Shariful Islam ObjD 21 1 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models Zijun Wu Yongkang Wu Lili Mou VLM 27 2 0 02 Oct 2023
Reinforcement Learning for Node Selection in Branch-and-Bound Alexander Mattick Christopher Mutschler 16 2 0 29 Sep 2023
Learning to Terminate in Object Navigation Yuhang Song Anh Nguyen Chun-Yi Lee 30 3 0 28 Sep 2023
Video-adverb retrieval with compositional adverb-action embeddings Thomas Hummel Otniel-Bogdan Mercea A. Sophia Koepke Zeynep Akata 22 1 0 26 Sep 2023
A novel approach for holographic 3D content generation without depth map Hakdong Kim Minkyu Jee Yurim Lee Kyudam Choi MinSung Yoon Cheongwon Kim 23 0 0 26 Sep 2023
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method Jonghyuk Baek Yanran Wang Xiaolong He Yu Lu J. McCartney J. S. Chen 24 0 0 24 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 32 1 0 18 Sep 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks Bing Han Feifei Zhao Wenxuan Pan Zhaoya Zhao Xianqi Li Qingqun Kong Yi Zeng CLL 26 3 0 18 Sep 2023
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models James Burgess Kuan-Chieh Wang Serena Yeung-Levy DiffM 35 6 0 14 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks Wenxuan Pan Feifei Zhao Zhuoya Zhao Yi Zeng 44 3 0 11 Sep 2023
Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds Frederic Abraham Matthew Stephenson GAN 11 2 0 05 Sep 2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective Alain Riou Stefan Lattner Gaëtan Hadjeres Geoffroy Peeters 29 13 0 05 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN Kin Wai Lau L. Po Yasar Abbas Ur Rehman VLM 24 200 0 04 Sep 2023
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography M. Hasan Haobo Zhu Guang Yang Choon Hwai Yap 24 1 0 02 Sep 2023
Deep Video Codec Control for Vision Models Christoph Reich Biplob K. Debnath Deep Patel Tim Prangemeier Daniel Cremers S. Chakradhar 23 1 0 30 Aug 2023
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation Md Golam Moula Mehedi Hasan Nasser M. Nasrabadi CVBM 16 2 0 13 Aug 2023
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table Wenhao Li Guangyang Wu Wenyi Wang Peiran Ren Xiaohong Liu 17 14 0 13 Aug 2023
MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion Yichi Zhang Zhuo Chen Wen Zhang 18 4 0 13 Aug 2023
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks Bing Han Feifei Zhao Yi Zeng Wenxuan Pan Guobin Shen CLL 37 12 0 09 Aug 2023
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model Xin Jin Jianqiang Xiao Linghao Han Chunle Guo Xialei Liu Chongyi Li Ruixun Zhang 38 3 0 07 Aug 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 22 14 0 06 Aug 2023
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification Y. Kim Minji Lee Kunwook Jo Hee Seok Song Seong-Whan Lee 18 0 0 03 Aug 2023
Video Frame Interpolation with Flow Transformer Pan Gao Haoyue Tian Jie Qin ViT 19 4 0 30 Jul 2023
Pupil Learning Mechanism R. Tsaih Yu-Hang Chien S. Chien 13 0 0 30 Jul 2023
Attentive Multimodal Fusion for Optical and Scene Flow Youjie Zhou Guofeng Mei Yiming Wang Fabio Poiesi Yi Wan 3DPC 23 1 0 28 Jul 2023
Deep neural network improves the estimation of polygenic risk scores for breast cancer Adrien Badré Li Zhang W. Muchero Justin C Reynolds Chongle Pan 14 47 0 24 Jul 2023
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition Yuzhao Mao Di Lu Xiaojie Wang Yang Zhang 22 1 0 23 Jul 2023
Deep Contract Design via Discontinuous Networks Tonghan Wang Paul Dutting Dmitry Ivanov Inbal Talgam-Cohen David C. Parkes 11 12 0 05 Jul 2023
End-to-End Learnable Multi-Scale Feature Compression for VCM Yeong-Gwan Kim Hyewon Jeong Janghyun Yu Younhee Kim Jooyoung Lee S. Jeong Hui-Yong Kim 16 13 0 29 Jun 2023
Empirical Loss Landscape Analysis of Neural Network Activation Functions Anna Sergeevna Bosman A. Engelbrecht Mardé Helbig 10 4 0 28 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 26 100 0 20 Jun 2023
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning Huiguo He Tianfu Wang Huan Yang Jianlong Fu N. Yuan Jian Yin Hongyang Chao Qi Zhang EGVM 30 9 0 20 Jun 2023
Learn to Enhance the Negative Information in Convolutional Neural Network Zhicheng Cai Chenglei Peng Qiu Shen 16 0 0 18 Jun 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 16 2 0 08 Jun 2023
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields Kanghyeok Ko Minhyeok Lee 26 2 0 05 Jun 2023
Two-View Geometry Scoring Without Correspondences Axel Barroso-Laguna Eric Brachmann V. Prisacariu Gabriel J. Brostow Daniyar Turmukhambetov 30 11 0 02 Jun 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 29 25 0 27 May 2023
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency Dongcheng Zhao Guobin Shen Yiting Dong Yang Li Yi Zeng 38 7 0 23 May 2023
A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs Siddharth Singh Prajwal Singhania Aditya K. Ranjan Zack Sating A. Bhatele 27 3 0 22 May 2023