Designing Network Design Spaces

30 March 2020

Piotr Dollár

Papers citing "Designing Network Design Spaces"

48 / 398 papers shown

Title
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 33 298 0 13 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual Recognition Duo Li Jie Hu Changhu Wang Xiangtai Li Qi She Lei Zhu Tong Zhang Qifeng Chen BDL 19 304 0 10 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition Zheng Zhu Guan Huang Jiankang Deng Yun Ye Junjie Huang ... Jiagang Zhu Tian Yang Jiwen Lu Dalong Du Jie Zhou CVBM 35 249 0 06 Mar 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic Xiangtao Kong Hengyuan Zhao Yu Qiao Chao Dong 35 156 0 06 Mar 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 321 1,528 0 27 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 90 0 22 Feb 2021
Stronger NAS with Weaker Predictors Junru Wu Xiyang Dai Dongdong Chen Yinpeng Chen Mengchen Liu Ye Yu Zhangyang Wang Zicheng Liu Mei Chen Lu Yuan OOD 38 41 0 21 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 160 44 0 16 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 24 24 0 14 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 226 513 0 11 Feb 2021
Searching for Fast Model Families on Datacenter Accelerators Sheng Li Mingxing Tan Ruoming Pang Andrew Li Liqun Cheng Quoc V. Le N. Jouppi 41 34 0 10 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness Thibault Maho Benoît Bonnet Teddy Furon Erwan Le Merrer AAML 27 4 0 10 Feb 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou Yukun Ma Junnan Zhu Jianbo Liu Zhijie Zhang Kun Yuan Wenxiu Sun Hongsheng Li 69 241 0 08 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 981 0 27 Jan 2021
A Review on Deep Learning in UAV Remote Sensing L. Osco J. M. Junior A. P. Ramos L. Jorge S. Fatholahi J. Silva E. Matsubara H. Pistori W. Gonçalves Jonathan Li AI4Cl 39 342 0 22 Jan 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie Kai Han Zhenhua Liu Chunjing Xu Yunhe Wang OOD 42 22 0 21 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,552 0 11 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 233 2,434 0 04 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 161 6,596 0 23 Dec 2020
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces Bert Moons Parham Noorzad Andrii Skliar G. Mariani Dushyant Mehta Chris Lott Tijmen Blankevoort 149 43 0 16 Dec 2020
A Comprehensive Study of Deep Video Action Recognition Yi Zhu Xinyu Li Chunhui Liu Mohammadreza Zolfaghari Yuanjun Xiong Chongruo Wu Zhi-Li Zhang Joseph Tighe R. Manmatha Mu Li VLM AI4TS 38 185 0 11 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 34 68 0 25 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation Liang-Chieh Chen Huiyu Wang Siyuan Qiao SSeg 27 47 0 23 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 33 315 0 17 Nov 2020
Scaled-YOLOv4: Scaling Cross Stage Partial Network Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 24 1,135 0 16 Nov 2020
Multi-Temporal Convolutions for Human Action Recognition in Videos Alexandros Stergiou R. Poppe 29 1 0 08 Nov 2020
Multi-View Adaptive Fusion Network for 3D Object Detection Guojun Wang Bin Tian Yachen Zhang Long Chen Dongpu Cao Jian Wu 3DPC 29 25 0 02 Nov 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks Kun Yuan Quanquan Li Dapeng Chen Aojun Zhou Junjie Yan GNN 23 1 0 02 Oct 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 35 10 0 04 Sep 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 87 478 0 20 Jul 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 40 53 0 18 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 37 100 0 12 Jun 2020
Few-shot Neural Architecture Search Yiyang Zhao Linnan Wang Yuandong Tian Rodrigo Fonseca Tian Guo 30 90 0 11 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 21 16 0 10 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Xin Xia Xuefeng Xiao Xing Wang Min Zheng 27 18 0 15 May 2020
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation Dino Ienco Y. J. E. Gbodjo R. Interdonato R. Gaetano 29 2 0 30 Apr 2020
ResNeSt: Split-Attention Networks Hang Zhang Chongruo Wu Zhongyue Zhang Yi Zhu Yanghua Peng ... Tong He Jonas W. Mueller R. Manmatha Mu Li Alex Smola 51 1,463 0 19 Apr 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Yifu Zhang Chunyu Wang Xinggang Wang Wenjun Zeng Wenyu Liu VOT 39 1,307 0 04 Apr 2020
Neural Architecture Generator Optimization Binxin Ru P. Esperança Fabio Maria Carlucci 20 40 0 03 Apr 2020
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 196 110 0 18 Mar 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 30 141 0 02 Nov 2019
LIP: Local Importance-based Pooling Ziteng Gao Limin Wang Gangshan Wu FAtt 42 94 0 12 Aug 2019
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 38 22 0 22 Nov 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016