On Network Design Spaces for Visual Recognition

30 May 2019

Piotr Dollár

Papers citing "On Network Design Spaces for Visual Recognition"

32 / 32 papers shown

Title
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Tao Luo Niangjun Chen Bo Wang 32 0 0 26 Mar 2025
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search Bhavna Gopal Arjun Sridhar Tunhou Zhang Yiran Chen 16 3 0 06 Jul 2023
Rethink DARTS Search Space and Renovate a New Benchmark Jiuling Zhang Zhiming Ding 33 1 0 12 Jun 2023
Network Pruning Spaces Xuanyu He Yu-I Yang Ran Song Jiachen Pu Conggang Hu Feijun Jiang Wei Zhang Huanghao Ding 3DPC 27 0 0 19 Apr 2023
Parameter-Efficient Fine-Tuning Design Spaces Jiaao Chen Aston Zhang Xingjian Shi Mu Li Alexander J. Smola Diyi Yang 31 59 0 04 Jan 2023
DAS: Neural Architecture Search via Distinguishing Activation Score Yuqiao Liu Haipeng Li Yanan Sun Shuaicheng Liu 22 1 0 23 Dec 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 73 64 0 26 Sep 2022
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring Yash Akhauri J. P. Muñoz Nilesh Jain Ravi Iyer 46 13 0 15 Sep 2022
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 20 1 0 26 Aug 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 15 39 0 25 Apr 2022
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration Zirui Xu Fuxun Yu Jinjun Xiong Xiang Chen 33 23 0 01 Apr 2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation Qinghua Zhou Alexander N. Gorban Evgeny M. Mirkes Jonathan Bac A. Zinovyev I. Tyukin 20 2 0 30 Mar 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 42 4,967 0 10 Jan 2022
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search Yifan Jiang Xinyu Gong Junru Wu Humphrey Shi Zhicheng Yan Zhangyang Wang VGen 47 1 0 09 Dec 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Yuge Zhang Quan Zhang Li Lyna Zhang Yaming Yang Chenqian Yan Xiaotian Gao Yuqing Yang 30 0 0 06 Aug 2021
Exploring Robust Architectures for Deep Artificial Neural Networks Asim Waqas Ghulam Rasool Hamza Farooq N. Bouaynaya OOD AAML 24 14 0 30 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David A. Wagner Trevor Darrell AAML 18 26 0 18 May 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment Manas Sahni S. Varshini Alind Khare Alexey Tumanov 15 31 0 26 Apr 2021
AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou Xiaojie Jin Xiaochen Lian Linjie Yang Yujing Xue Qibin Hou Jiashi Feng 21 10 0 22 Mar 2021
Is it enough to optimize CNN architectures on ImageNet? Lukas Tuggener Jürgen Schmidhuber Thilo Stadelmann 25 23 0 16 Mar 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search Xiangzhong Luo Di Liu Shuo Huai Weichen Liu 20 6 0 11 Mar 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 89 0 22 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 979 0 27 Jan 2021
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 47 116 0 25 Nov 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Haotian Tang Zhijian Liu Shengyu Zhao Yujun Lin Ji Lin Hanrui Wang Song Han 3DPC 31 630 0 31 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 56 471 0 20 Jul 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 32 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 30 99 0 12 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 15 35 0 08 Jun 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 21 34 0 09 Mar 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016