DiracNets: Training Very Deep Neural Networks Without Skip-Connections

1 June 2017

Papers citing "DiracNets: Training Very Deep Neural Networks Without Skip-Connections"

22 / 22 papers shown

Title
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing Bin Li Jiayan Pei Feiyang Xiao Yifan Zhao Zhixing Zhang Diwei Liu Hengxu He Jia Jia 29 0 0 20 Jun 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery Guangyao Chen Peixi Peng Yangru Huang Mengyue Geng Yonghong Tian CLL MoMe 37 9 0 06 Mar 2024
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures Anastasiia Prutianova Alexey Zaytsev Chung-Kuei Lee Fengyu Sun Ivan Koryakovskiy MQ 21 0 0 09 Nov 2023
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation Ye Lin Shuhan Zhou Yanyang Li Anxiang Ma Tong Xiao Jingbo Zhu 38 0 0 10 May 2023
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer Jiahao Wang Songyang Zhang Yong Liu Taiqiang Wu Yujiu Yang Xihui Liu Kai-xiang Chen Ping Luo Dahua Lin 42 20 0 12 Apr 2023
InceptionNeXt: When Inception Meets ConvNeXt Weihao Yu Pan Zhou Shuicheng Yan Xinchao Wang 48 119 0 29 Mar 2023
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms Guillaume Berger Manik Dhingra Antoine Mercier Yash Savani Sunny Panchal Fatih Porikli SupR 20 5 0 08 Mar 2023
Tailor: Altering Skip Connections for Resource-Efficient Inference Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 46 12 0 18 Jan 2023
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng-Ann Heng MoE 18 4 0 20 Dec 2022
Make RepVGG Greater Again: A Quantization-aware Approach Xiangxiang Chu Liang Li Bo Zhang MQ 48 46 0 03 Dec 2022
AugOp: Inject Transformation into Neural Operator Longqing Ye ViT 30 0 0 23 Nov 2022
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization Chengpeng Chen Zichao Guo Haien Zeng Pengfei Xiong Jian Dong 26 38 0 11 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Maurizio Denna Abdelbadie Younes Ganzorig Gankhuyag ... Jing Liu Garas Gendy Nabil Sabor J. Hou Guanghui He SupR MQ 26 32 0 07 Nov 2022
What Makes Convolutional Models Great on Long Sequence Modeling? Yuhong Li Tianle Cai Yi Zhang De-huai Chen Debadeepta Dey VLM 39 96 0 17 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 36 249 0 17 Oct 2022
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization Xintao Wang Chao Dong Ying Shan 29 48 0 11 May 2022
RMNet: Equivalently Removing Residual Connection from Networks Fanxu Meng Hao Cheng Jia-Xin Zhuang Ke Li Xing Sun 31 11 0 01 Nov 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor Rong Jin 41 3 0 12 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,550 0 11 Jan 2021
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xueliang Wang Yi Ma Jitendra Malik VLM 35 54 0 30 Jun 2020
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network Yanting Hu Xinbo Gao Jie Li Yuanfei Huang Hanzi Wang SupR 30 52 0 24 Feb 2018
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions George Philipp D. Song J. Carbonell ODL 35 46 0 15 Dec 2017