DARTS: Differentiable Architecture Search

24 June 2018

Papers citing "DARTS: Differentiable Architecture Search"

50 / 833 papers shown

Title
Reparameterization through Spatial Gradient Scaling A. Detkov Mohammad Salameh Muhammad Fetrat Qharabagh Jialin Zhang Wei Lui Shangling Jui Di Niu 23 0 0 05 Mar 2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs Elia Cereda Luca Crupi Matteo Risso Alessio Burrello Luca Benini Alessandro Giusti Daniele Jahier Pagliari Daniele Palossi 29 4 0 03 Mar 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 36 0 03 Mar 2023
FTSO: Effective NAS via First Topology Second Operator Likang Wang Lei Chen 27 9 0 28 Feb 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 46 9 0 28 Feb 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 36 101 0 27 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 35 6 0 20 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 29 16 0 17 Feb 2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search Guangliang Cheng Peng Sun Ting-Bing Xu Shuchang Lyu Peiwen Lin 26 1 0 16 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 67 352 0 13 Feb 2023
Operation-level Progressive Differentiable Architecture Search Xunyu Zhu Jian Li Yong Liu Weiping Wang 32 6 0 11 Feb 2023
Unified Functional Hashing in Automatic Machine Learning Ryan Gillard S. Jonany Yingjie Miao Michael Munn Connal de Souza Jonathan Dungay Chen Liang David R. So Quoc V. Le Esteban Real 26 2 0 10 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer Dichao Liu T. Yamasaki Yu Wang K. Mase Jien Kato 23 27 0 09 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 29 20 0 03 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 32 5 0 03 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen 21 45 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 36 61 0 26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Yuji Chai Devashree Tripathy Chu Zhou Dibakar Gope Igor Fedorov Ramon Matas David Brooks Gu-Yeon Wei P. Whatmough GNN 37 4 0 26 Jan 2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge Matteo Risso Alessio Burrello Francesco Conti Lorenzo Lamberti Yukai Chen Luca Benini Enrico Macii M. Poncino Daniele Jahier Pagliari 30 33 0 24 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 31 27 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration Deokki Hong Kanghyun Choi Hyeyoon Lee Joonsang Yu Noseong Park Youngsok Kim Jinho Lee 19 3 0 23 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks Jinqi Xiao Chengming Zhang Yu Gong Miao Yin Yang Sui Lizhi Xiang Dingwen Tao Bo Yuan 29 19 0 20 Jan 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search Mehdi Asadi Fatemeh Poursalim Mohammad Loni Masoud Daneshtalab Mikael Sjödin Arash Gharehbaghi 35 7 0 17 Jan 2023
$β$ -DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search Peng Ye Tong He Baopu Li Tao Chen Lei Bai Wanli Ouyang OOD 46 7 0 16 Jan 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 32 12 0 14 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 14 3 0 06 Jan 2023
First-order penalty methods for bilevel optimization Zhaosong Lu Sanyou Mei 66 31 0 04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 41 2 0 03 Jan 2023
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space Arash Ahmadian Louis S.P. Liu Yue Fei Konstantinos N. Plataniotis Mahdi S. Hosseini 21 0 0 31 Dec 2022
DAS: Neural Architecture Search via Distinguishing Activation Score Yuqiao Liu Haipeng Li Yanan Sun Shuaicheng Liu 36 1 0 23 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
A Study on the Intersection of GPU Utilization and CNN Inference J. Kosaian Amar Phanishayee 23 3 0 15 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 129 9 0 12 Dec 2022
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization Shu-Bo Yang Yang Jiao Shaoyu Dou Mana Zheng Chen Zhu 25 0 0 11 Dec 2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks Shiyu Liu Rohan Ghosh Dylan Tan Mehul Motani AAML 24 0 0 09 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework Shikhar Tuli Chia-Hao Li Ritvik Sharma N. Jha 36 13 0 07 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 45 10 0 01 Dec 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills Fred X. Han Jialin Zhang Fabián A. Chudak A. Mamaghani Mohammad Salameh Wei Lu Shangling Jui Di Niu 27 4 0 30 Nov 2022
Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation Tal Hakim 33 0 0 22 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 21 1 0 20 Nov 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization M. Shahawy E. Benkhelifa 21 1 0 18 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction Yun Yi Haokui Zhang Wenze Hu Nannan Wang Xiaoyu Wang AI4TS AI4CE 32 8 0 15 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 28 4 0 08 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 37 45 0 03 Nov 2022