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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 / 2,369 papers shown
Title
Learning Informative Attention Weights for Person Re-Identification
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Nebojsa Jojic
Yingzhen Yang
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ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
Dongseok Kim
Wonjun Jeong
Mohamed Jismy Aashik Rasool
Gisung Oh
124
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0
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Efficient Eye-based Emotion Recognition via Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks
Efficient Eye-based Emotion Recognition via Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks
Qianhui Liu
Jing Yang
Miao Yu
Trevor E. Carlson
Gang Pan
Haizhou Li
Zhumin Chen
16
0
0
02 Dec 2025
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
Yi Fang
H. Xu
Jiaxin Han
Sirui Ding
Y. Wang
Yue Wang
Xuan Wang
LM&RoAI4CE
241
0
0
29 Nov 2025
NNGPT: Rethinking AutoML with Large Language Models
NNGPT: Rethinking AutoML with Large Language Models
Roman Kochnev
Waleed Khalid
Tolgay Atinc Uzun
X. Zhang
Yashkumar Sanjaybhai Dhameliya
...
Chandini Vysyaraju
Raghuvir Duvvuri
Avi Goyal
D. Ignatov
Radu Timofte
LM&MALRM
187
5
0
25 Nov 2025
KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit
KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit
Dezhi Ran
Shuxiao Xie
Mingfang Ji
Ziyue Hua
Mengzhou Wu
...
Yuzhe Guo
Yu Hao
Linyi Li
Yitao Hu
Tao Xie
49
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0
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DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
Youneng Bao
Yulong Cheng
Y. Liu
Yichen Yang
Peng Qin
Mu Li
Yongsheng Liang
MQ
70
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0
11 Nov 2025
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
Qile Jiang
George Em Karniadakis
AI4CE
156
4
0
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Solving bilevel optimization via sequential minimax optimization
Solving bilevel optimization via sequential minimax optimization
Zhaosong Lu
Sanyou Mei
76
1
0
10 Nov 2025
Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
Richard Goldman
Varun Komperla
Thomas Ploetz
H. Haresamudram
126
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0
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One-Shot Knowledge Transfer for Scalable Person Re-Identification
One-Shot Knowledge Transfer for Scalable Person Re-Identification
Longhua Li
Lei Qi
Xin Geng
100
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0
08 Nov 2025
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering
Zhuowen Yuan
Tao Liu
Yang Yang
Y. Wang
Feng Qi
Kaushik Rangadurai
Bo Li
Shuang Yang
AI4CE
156
0
0
06 Nov 2025
Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
Mikhael Djajapermana
Moritz Reiber
Daniel Mueller-Gritschneder
Ulf Schlichtmann
ViT
61
0
0
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A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen
Jiawei Zhang
Minhui Huang
Cong Shen
97
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0
28 Oct 2025
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
Zongshun Zhang
I. Matta
116
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0
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SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks
SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks
Amin Omidvar
109
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Distributionally Robust Feature Selection
Distributionally Robust Feature Selection
Maitreyi Swaroop
Tamar Krishnamurti
Bryan Wilder
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186
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Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Sunwoo Kim
Hyunjin Hwang
Kijung Shin
AI4CE
174
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0
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Self-Evidencing Through Hierarchical Gradient Decomposition: A Dissipative System That Maintains Non-Equilibrium Steady-State by Minimizing Variational Free Energy
Self-Evidencing Through Hierarchical Gradient Decomposition: A Dissipative System That Maintains Non-Equilibrium Steady-State by Minimizing Variational Free Energy
Michael James McCulloch
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Computational Budget Should Be Considered in Data Selection
Computational Budget Should Be Considered in Data Selection
Weilin Wan
Weizhong Zhang
Cheng Jin
183
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DARTS-GT: Differentiable Architecture Search for Graph Transformers with Quantifiable Instance-Specific Interpretability Analysis
DARTS-GT: Differentiable Architecture Search for Graph Transformers with Quantifiable Instance-Specific Interpretability Analysis
Shruti Sarika Chakraborty
Peter Minary
143
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Spiking Neural Network Architecture Search: A Survey
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Tosiron Adegbija
152
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Optimally Deep Networks - Adapting Model Depth to Datasets for Superior Efficiency
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Filza Khan Tareen
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MAT-Agent: Adaptive Multi-Agent Training Optimization
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Kaitong Cai
Yijia Fan
Ningyuan Liu
Keze Wang
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PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
Xiaolong Tu
Dawei Chen
Kyungtae Han
Onur Altintas
Haoxin Wang
92
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0
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Hyperspectral data augmentation with transformer-based diffusion models
Hyperspectral data augmentation with transformer-based diffusion models
Mattia Ferrari
Lorenzo Bruzzone
116
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0
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Where to Begin: Efficient Pretraining via Subnetwork Selection and Distillation
Where to Begin: Efficient Pretraining via Subnetwork Selection and Distillation
Arjun Krishnakumar
R. Sukthanker
Hannan Javed Mahadik
Gabriela Kadlecová
Vladyslav Moroshan
Timur Carstensen
Frank Hutter
Aaron Klein
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Audrey Cheng
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Shu Liu
Bowen Wang
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Aditya Desai
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Koushik Sen
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Ion Stoica
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Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
Ondřej Týbl
Lukáš Neumann
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FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
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Yuheng Li
Jiechao Gao
Wei Han
Wenwen Ouyang
Wei Zhu
Hui Yi Leong
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ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures
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Alexander Auras
Shay B. Cohen
Elliot J. Crowley
Michael Moeller
Linus Ericsson
Jovita Lukasik
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Utility-Learning Tension in Self-Modifying Agents
Utility-Learning Tension in Self-Modifying Agents
Charles L. Wang
Keir Dorchen
Peter Jin
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Searching Meta Reasoning Skeleton to Guide LLM Reasoning
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Yaqing Wang
Quanming Yao
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AutoMaAS: Self-Evolving Multi-Agent Architecture Search for Large Language Models
AutoMaAS: Self-Evolving Multi-Agent Architecture Search for Large Language Models
Bo Ma
Hang Li
ZeHua Hu
XiaoFan Gui
LuYao Liu
Simon Liu
LLMAGLM&RoAI4CE
152
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Composer: A Search Framework for Hybrid Neural Architecture Design
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Bilge Acun
Prasoon Sinha
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204
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LLM-NAS: LLM-driven Hardware-Aware Neural Architecture Search
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CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
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From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
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CIMNAS: A Joint Framework for Compute-In-Memory-Aware Neural Architecture Search
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Shared-Weights Extender and Gradient Voting for Neural Network Expansion
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Marco A. Martínez-Ramírez
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Ilya Safro
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Stochastic Bilevel Optimization with Heavy-Tailed Noise
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AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
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Contextual Learning for Anomaly Detection in Tabular Data
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LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
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OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
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