ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.09055
  4. Cited By
DARTS: Differentiable Architecture Search
v1v2 (latest)

DARTS: Differentiable Architecture Search

24 June 2018
Hanxiao Liu
Karen Simonyan
Yiming Yang
ArXiv (abs)PDFHTML

Papers citing "DARTS: Differentiable Architecture Search"

50 / 2,367 papers shown
Title
Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table
Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table
Haoyuan Wu
Haisheng Zheng
Shoubo Hu
Zhuolun He
Bei Yu
229
0
0
18 Feb 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Fast Data Aware Neural Architecture Search via Supernet Accelerated EvaluationInternet of Things (IoT), 2025
Emil Njor
Colby R. Banbury
Xenofon Fafoutis
249
2
0
18 Feb 2025
Neural Attention Search
Neural Attention Search
Difan Deng
Marius Lindauer
434
0
0
18 Feb 2025
Growth strategies for arbitrary DAG neural architectures
Growth strategies for arbitrary DAG neural architectures
Stella Douka
Manon Verbockhaven
Théo Rudkiewicz
Stéphane Rivaud
François P. Landes
Sylvain Chevallier
Guillaume Charpiat
AI4CE
220
0
0
17 Feb 2025
Achieving Deep Continual Learning via Evolution
Achieving Deep Continual Learning via Evolution
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Jiancheng Lv
Yanan Sun
CLL
299
1
0
10 Feb 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
Xingrun Xing
Zheng Liu
Shitao Xiao
Boyan Gao
Yiming Liang
Wanpeng Zhang
Haokun Lin
Guoqi Li
Jiajun Zhang
LRM
562
8
0
10 Feb 2025
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network WeightsComputer Vision and Pattern Recognition (CVPR), 2025
Ondřej Týbl
Lukáš Neumann
179
1
0
07 Feb 2025
Multi-agent Architecture Search via Agentic Supernet
Multi-agent Architecture Search via Agentic Supernet
Guibin Zhang
Luyang Niu
Cunchun Li
Kaidi Wang
Wenlong Zhang
Xinyu Wang
443
57
0
06 Feb 2025
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree SearchAdvanced Quantum Technologies (Adv. Quantum Technol.), 2025
Vincenzo Lipardi
Domenica Dibenedetto
Georgios Stamoulis
Mark H.M. Winands
439
2
0
06 Feb 2025
Efficient Global Neural Architecture Search
Efficient Global Neural Architecture SearchSN Computer Science (SN Comput. Sci.), 2025
Shahid Siddiqui
C. Kyrkou
T. Theocharides
207
0
0
05 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel OptimizationInternational Conference on Learning Representations (ICLR), 2025
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
357
1
0
03 Feb 2025
THOR: A Generic Energy Estimation Approach for On-Device Training
THOR: A Generic Energy Estimation Approach for On-Device Training
Jiaru Zhang
Zesong Wang
Hao Wang
Tao Song
Huai-an Su
...
Yang Hua
Xiangwei Zhou
Ruhui Ma
Miao Pan
Haibing Guan
199
0
0
27 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Xiaoyuan Zhang
Xi Lin
Han Zhao
Gang Qu
James T. Kwok
392
17
0
19 Jan 2025
Differentiable Prompt Learning for Vision Language ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
214
0
0
03 Jan 2025
TART: Token-based Architecture Transformer for Neural Network Performance Prediction
TART: Token-based Architecture Transformer for Neural Network Performance Prediction
Yannis Y. He
209
0
0
02 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Jialong Wang
Yang Li
Wenwu Zhu
CMLOOD
291
7
0
31 Dec 2024
GAIS: A Novel Approach to Instance Selection with Graph Attention
  Networks
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
Zahiriddin Rustamov
Ayham Zaitouny
Rafat Damseh
Nazar Zaki
244
2
0
26 Dec 2024
Lightweight Design and Optimization methods for DCNNs: Progress and
  Futures
Lightweight Design and Optimization methods for DCNNs: Progress and Futures
Hanhua Long
Wenbin Bi
Jian Sun
217
1
0
22 Dec 2024
Trimming Down Large Spiking Vision Transformers via Heterogeneous
  Quantization Search
Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization SearchIEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP), 2024
Boxun Xu
Yufei Song
Peng Li
MQ
161
2
0
07 Dec 2024
Task-driven Image Fusion with Learnable Fusion Loss
Task-driven Image Fusion with Learnable Fusion LossComputer Vision and Pattern Recognition (CVPR), 2024
Haowen Bai
Jiangshe Zhang
Zixiang Zhao
Yichen Wu
Lilun Deng
Yukun Cui
Tao Feng
Shuang Xu
422
16
0
04 Dec 2024
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task
  Applications
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Md Hafizur Rahman
Md. Mashfiq Rizvee
Sumaiya Shomaji
Prabuddha Chakraborty
220
2
0
03 Dec 2024
Task Adaptation of Reinforcement Learning-based NAS Agents through
  Transfer Learning
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning
Amber Cassimon
Siegfried Mercelis
Kevin Mets
320
1
0
02 Dec 2024
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation
  Loop on Mobile Devices
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile DevicesIEEE Internet of Things Journal (IEEE IoT J.), 2024
Yuzhan Wang
Sicong Liu
Bin Guo
Boqi Zhang
Ke Ma
Yasan Ding
Hao Luo
Yao Li
Zhiwen Yu
279
7
0
01 Dec 2024
GradAlign for Training-free Model Performance Inference
GradAlign for Training-free Model Performance Inference
Yuxuan Li
Yunhui Guo
220
0
0
29 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search
Knowledge-aware Evolutionary Graph Neural Architecture SearchKnowledge-Based Systems (KBS), 2024
Chao Wang
Jiaxuan Zhao
Lingling Li
Licheng Jiao
Fang Liu
Xu Liu
Steve Yang
342
8
0
26 Nov 2024
Exploring the Generalization Capabilities of AID-based Bi-level
  Optimization
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
C. L. Philip Chen
Li Shen
Zhiqiang Xu
Wen Liu
Zhi-Quan Luo
Peilin Zhao
280
1
0
25 Nov 2024
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction
  Models
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsWeb Search and Data Mining (WSDM), 2024
Kexin Zhang
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Kaize Ding
Xiuqiang He
Xue Liu
226
5
0
24 Nov 2024
Delta-NAS: Difference of Architecture Encoding for Predictor-based
  Evolutionary Neural Architecture Search
Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture SearchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Arjun Sridhar
Yuxiao Chen
246
0
0
21 Nov 2024
RedTest: Towards Measuring Redundancy in Deep Neural Networks
  Effectively
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
Yao Lu
Peixin Zhang
Jingyi Wang
Lei Ma
Xiaoniu Yang
Qi Xuan
227
7
0
15 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A SurveyACM Computing Surveys (ACM CSUR), 2024
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
241
13
0
08 Nov 2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton
Aram Galstyan
Greg Ver Steeg
145
0
0
07 Nov 2024
Fully Automated Correlated Time Series Forecasting in Minutes
Fully Automated Correlated Time Series Forecasting in MinutesProceedings of the VLDB Endowment (PVLDB), 2024
Xinle Wu
Xingjian Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
Bin Yang
Christian S. Jensen
AI4TS
239
11
0
06 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised BaselinesInternational Conference on Learning Representations (ICLR), 2024
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
261
21
0
05 Nov 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction
  Prediction
Customized Subgraph Selection and Encoding for Drug-drug Interaction PredictionNeural Information Processing Systems (NeurIPS), 2024
Haotong Du
Quanming Yao
Juzheng Zhang
Yong Liu
Zhen Wang
245
14
0
03 Nov 2024
Differentiable architecture search with multi-dimensional attention for
  spiking neural networks
Differentiable architecture search with multi-dimensional attention for spiking neural networks
Yilei Man
Linhai Xie
Shushan Qiao
Yumei Zhou
Delong Shang
139
4
0
01 Nov 2024
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object
  Detection
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object DetectionNeural Information Processing Systems (NeurIPS), 2024
Yujin Wang
Tianyi Xu
Fan Zhang
Tianfan Xue
Liang Feng
VLM
152
16
0
30 Oct 2024
Spatial-Temporal Search for Spiking Neural Networks
Spatial-Temporal Search for Spiking Neural Networks
Kaiwei Che
Zhaokun Zhou
Li-xin Yuan
Jianguo Zhang
Yonghong Tian
Luziwei Leng
136
1
0
24 Oct 2024
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation
  using Bi-level Optimization
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level OptimizationIEEE Transactions on Automation Science and Engineering (T-ASE), 2024
Shancong Mou
Raviteja Vemulapalli
Shiyu Li
Yuxuan Liu
C Thomas
...
Haoping Bai
Oncel Tuzel
Ping Huang
Jiulong Shan
Jianjun Shi
202
0
0
24 Oct 2024
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language
  Models Fine-tuning
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jingfan Zhang
Yi Zhao
Dan Chen
Xing Tian
Huanran Zheng
Wei Zhu
MoE
295
34
0
23 Oct 2024
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
MCUBERT: Memory-Efficient BERT Inference on Commodity MicrocontrollersInternational Conference on Computer Aided Design (ICCAD), 2024
Zebin Yang
Renze Chen
Taiqiang Wu
Ngai Wong
Yun Liang
Runsheng Wang
R. Huang
Meng Li
MQ
171
2
0
23 Oct 2024
Automatic Differentiation of Optimization Algorithms with Time-Varying
  Updates
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
Sheheryar Mehmood
Peter Ochs
207
1
0
21 Oct 2024
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with
  Self-Auxiliaries
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries
Olivier Graffeuille
Yun Sing Koh
Joerg Wicker
Moritz Lehmann
138
0
0
21 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang
Xueying Zhan
Siyu Huang
OOD
346
1
0
17 Oct 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based
  Approach
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach
Yuntian Gu
Xuzheng Chen
145
0
0
15 Oct 2024
Towards a More Complete Theory of Function Preserving Transforms
Towards a More Complete Theory of Function Preserving Transforms
Michael Painter
77
0
0
14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
196
4
0
13 Oct 2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method
  for Dense-like Neural Network Design
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network DesignIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Liu Tianyuan
Hou Libin
Wang Linyuan
Song Xiyu
Yan Bin
148
0
0
10 Oct 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in
  Pruning
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in PruningNeural Information Processing Systems (NeurIPS), 2024
Weihao Lin
Shengji Tang
Chong Yu
Peng Ye
Tao Chen
122
0
0
09 Oct 2024
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space
  Model
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space ModelNeural Information Processing Systems (NeurIPS), 2024
Fei Xie
Weijia Zhang
Zhongdao Wang
Chao Ma
Mamba
256
16
0
09 Oct 2024
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for
  Audio-Visual Deepfake Detection
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection
Aravinda Reddy PN
Raghavendra Ramachandra
K. S. Rao
Pabitra Mitra Vinod Rathod
108
1
0
09 Oct 2024
Previous
12345...464748
Next