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https://arxiv.org/abs/2407.20147v1 [2407.20147v1] Quantum Machine Learning Architecture Search via Deep Reinforcement Learning Abstract page for arXiv paper 2407.20147v1: Quantum Machine Learning Architecture Search via Deep Reinforcement Learning quantum machine learning architecture search 2407 via deep https://openreview.net/forum?id=5wuZyG1ACs&referrer=%5Bthe%20profile%20of%20Etash%20Kumar%20Guha%5D(%2Fprofile%3Fid%3D~Etash_Kumar_Guha1) Archon: An Architecture Search Framework for Inference-Time Techniques | OpenReview Inference-time techniques are emerging as highly effective tools to enhance large language model (LLM) capabilities. However, best practices for developing... architecture search archon framework inference time https://openreview.net/forum?id=BJlS634tPr PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search | OpenReview Allowing partial channel connection in super-networks to regularize and accelerate differentiable architecture search architecture search pc darts partial channel https://research.google/pubs/tabnas-rejection-sampling-for-neural-architecture-search-on-tabular-datasets/ TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets neural architecture search rejection sampling tabular datasets https://deepai.org/publication/neural-architecture-search-for-lightweight-non-local-networks Neural Architecture Search for Lightweight Non-Local Networks | DeepAI Apr 4, 2020 - 04/04/20 - Non-Local (NL) blocks have been widely studied in various vision tasks. However, it has been rarely explored to embed the NL block... neural architecture search non local lightweight networks deepai https://deepai.org/publication/snas-stochastic-neural-architecture-search SNAS: Stochastic Neural Architecture Search | DeepAI Dec 24, 2018 - 12/24/18 - We propose Stochastic Neural Architecture Search (SNAS), an economical end-to-end solution to Neural Architecture Search (NAS) tha... neural architecture search snas stochastic deepai https://openreview.net/forum?id=apZRm_0VClK&referrer=%5Bthe%20profile%20of%20Hedi%20Tabia%5D(%2Fprofile%3Fid%3D~Hedi_Tabia1) NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks |... A novel method improving Siamese Networks architecture using Neural Architecture Search. neural architecture search representation learning efficient using https://www.surrey.ac.uk/research-projects/efficient-evolutionary-neural-architecture-search-human-face-and-shape-recognition Efficient evolutionary neural architecture search for human face and shape recognition | University... neural architecture search https://aclanthology.org/2021.emnlp-main.191/ RankNAS: Efficient Neural Architecture Search by Pairwise Ranking - ACL Anthology Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li. Proceedings of the 2021 Conference on Empirical Methods in... neural architecture search pairwise ranking efficient acl anthology https://openreview.net/forum?id=jGYxcXSg8C QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms |... With the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era and the fast development of machine learning, variational quantum algorithms (VQA)... architecture search differentiable quantum variational algorithms https://openreview.net/forum?id=C1NtSM4Q4i3 Cross-device Federated Architecture Search | OpenReview FedorAS is a system that performs cross-device Federated Neural Architecture Search under heterogeneous system and data distributions. federated architecture cross device search openreview https://deepai.org/publication/econas-finding-proxies-for-economical-neural-architecture-search EcoNAS: Finding Proxies for Economical Neural Architecture Search | DeepAI Jan 5, 2020 - 01/05/20 - Neural Architecture Search (NAS) achieves significant progress in many computer vision tasks. While many methods have been propose... neural architecture search finding proxies economical deepai https://openreview.net/forum?id=ePH3xBFOiP Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework | OpenReview While Neural Architecture Search (NAS) methods help find optimal neural network architectures for diverse tasks, they often come with unreasonable costs. To... neural architecture search few shot https://openreview.net/forum?id=Nr1BYwtxMj Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search | OpenReview Neural Architecture Search (NAS) has emerged as a powerful method for automating the design of deep neural networks across diverse applications, with... neural architecture search sequence alignment similarity metric based https://deepai.org/publication/end-to-end-keyword-spotting-using-neural-architecture-search-and-quantization End-to-end Keyword Spotting using Neural Architecture Search and Quantization | DeepAI Apr 14, 2021 - 04/14/21 - This paper introduces neural architecture search (NAS) for the automatic discovery of end-to-end keyword spotting (KWS) models in ... neural architecture search keyword spotting end using https://openreview.net/forum?id=S0nrdTCNEn Neural Architecture Search Finds Robust Models by Knowledge Distillation | OpenReview Despite their superior performance, Deep Neural Networks (DNNs) are often vulnerable to adversarial attacks. Neural Architecture Search (NAS), a method for... neural architecture search knowledge distillation finds robust models https://www.ornl.gov/publication/mednas-multiscale-training-free-neural-architecture-search-medical-image-analysis MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis... | ORNL Deep neural networks have demonstrated impressive results in medical image analysis, but designing suitable architectures for each specific task is expertise... neural architecture search medical image analysis https://openreview.net/forum?id=rkgW0oA9FX Graph HyperNetworks for Neural Architecture Search | OpenReview Neural architecture search (NAS) automatically finds the best task-specific neural network topology, outperforming many manual architecture designs. However,... neural architecture search graph openreview https://openreview.net/forum?id=pENBkrUG8U&referrer=%5Bthe%20profile%20of%20Jun%20Wei%20Hsieh%5D(%2Fprofile%3Fid%3D~Jun_Wei_Hsieh1) Mean-Shift Based Differentiable Architecture Search | OpenReview Differentiable architecture search (DARTS) is an effective continuous relaxation-based network architecture search (NAS) method with low search cost. It has... mean shift architecture search based differentiable openreview https://openreview.net/forum?id=BJxH22EKPS Understanding Architectures Learnt by Cell-based Neural Architecture Search | OpenReview Neural architecture search (NAS) searches architectures automatically for given tasks, e.g., image classification and language modeling. Improving the search... neural architecture search understanding architectures learnt cell https://openreview.net/forum?id=TEup1DJTzd Transferrable Surrogates in Expressive Neural Architecture Search Spaces | OpenReview Neural architecture search (NAS) faces a challenge in balancing the exploration of expressive, broad search spaces that enable architectural innovation with... neural architecture search surrogates expressive spaces openreview https://deepai.org/publication/wpnas-neural-architecture-search-by-jointly-using-weight-sharing-and-predictor WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor | DeepAI Mar 4, 2022 - 03/04/22 - Weight sharing based and predictor based methods are two major types of fast neural architecture search methods. In this paper, we... neural architecture search https://openreview.net/forum?id=HylVB3AqYm ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware | OpenReview Proxy-less neural architecture search for directly learning architectures on large-scale target task (ImageNet) while reducing the cost to the same level of... neural architecture search on target direct https://deepai.org/publication/das-neural-architecture-search-via-distinguishing-activation-score DAS: Neural Architecture Search via Distinguishing Activation Score | DeepAI Dec 23, 2022 - 12/23/22 - Neural Architecture Search (NAS) is an automatic technique that can search for well-performed architectures for a specific task. A... neural architecture search das via distinguishing activation https://openreview.net/forum?id=jKJ6OcvqdQ MC-DARTS : Model Size Constrained Differentiable Architecture Search | OpenReview We propose a novel approach, known as model size constrained DARTS can efficiently search for network architectures. architecture search mc darts model size https://arxiv.org/abs/2107.12212v2 [2107.12212v2] Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection Abstract page for arXiv paper 2107.12212v2: Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection architecture search https://www.uh.edu/architecture/search/index.php Architecture Search | Gerald D. Hines College of Architecture and Design | University of Houston gerald d hines architecture search https://openreview.net/forum?id=H1gDNyrKDS Understanding and Robustifying Differentiable Architecture Search | OpenReview We study the failure modes of DARTS (Differentiable Architecture Search) by looking at the eigenvalues of the Hessian of validation loss w.r.t. the... architecture search understanding differentiable openreview https://openreview.net/forum?id=imcyVlzpXh&referrer=%5Bthe%20profile%20of%20LEI%20BAI%5D(%2Fprofile%3Fid%3D~LEI_BAI1) Multi-agent Architecture Search via Agentic Supernet | OpenReview Large Language Model (LLM)-empowered multi-agent systems extend the cognitive boundaries of individual agents through disciplined collaboration and... multi agent architecture search via agentic supernet https://openreview.net/forum?id=NNnt3dNnwj Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks |... architecture search understanding simplifying https://arxiv.org/abs/2002.05283 [2002.05283] Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Abstract page for arXiv paper 2002.05283: Stabilizing Differentiable Architecture Search via Perturbation-based Regularization architecture search 2002 05283 stabilizing differentiable https://openreview.net/forum?id=13BSG9cwvu Evaluating supernets for neural architecture search | OpenReview neural architecture search evaluating openreview https://openreview.net/forum?id=Z8FzvVU6_Kj SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search | OpenReview One-shot Neural Architecture Search (NAS) usually constructs an over-parameterized network, which we call a supernet, and typically adopts sharing parameters... neural architecture search supernet unbiased meta https://huggingface.co/papers/1708.05344 Paper page - SMASH: One-Shot Model Architecture Search through HyperNetworks Join the discussion on this paper page one shot architecture search paper smash model https://openreview.net/forum?id=hHrO6-IfskR TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets | OpenReview For resource-constrained neural architecture search on tabular datasets, we propose a reinforcement-learning controller with rejection sampling and Monte-Carlo... neural architecture search rejection sampling https://openreview.net/forum?id=X0vPof5DVh Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic... Zero-shot Neural Architecture Search (NAS) typically optimises the architecture search process by exploiting the network or gradient properties at... neural architecture search singular value decomposition zero shot https://www.osti.gov/pages/biblio/2439002-mednas-multiscale-training-free-neural-architecture-search-medical-image-analysis MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis (Journal... The U.S. Department of Energy's Office of Scientific and Technical Information neural architecture search medical image analysis https://www.ornl.gov/publication/evolutionary-architecture-search-generative-adversarial-networks-based-weight-sharing Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing | ORNL Generative adversarial networks (GANs) are a powerful generative technique but frequently face challenges with training stability. Network architecture plays a... architecture search adversarial networks https://openreview.net/forum?id=8M6cn6lfrJ&referrer=%5Bthe%20profile%20of%20Pengtao%20Xie%5D(%2Fprofile%3Fid%3D~Pengtao_Xie3) Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation |... Interest in automatically searching for Transformer neural architectures for machine translation (MT) has been increasing. Current methods show promising... transformer architecture out of https://openreview.net/forum?id=gIJGcGoz44 PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search | OpenReview The wide application of pre-trained models is driving the trend of once-for-all training in one-shot neural architecture search (NAS). However, training within... one shot learning neural architecture search preferred https://deepai.org/publication/pr-darts-pruning-based-differentiable-architecture-search PR-DARTS: Pruning-Based Differentiable Architecture Search | DeepAI Jul 14, 2022 - 07/14/22 - The deployment of Convolutional Neural Networks (CNNs) on edge devices is hindered by the substantial gap between performance requ... architecture search pr darts based differentiable https://openreview.net/forum?id=HJe7unNFDH Scaling Up Neural Architecture Search with Big Single-Stage Models | OpenReview We scale up neural architecture search with big single-stage models, surpassing all state-of-the-art models from 200 to 1000 MFLOPs including EfficientNets. neural architecture search scaling up single stage https://deepai.org/publication/enas4d-efficient-multi-stage-cnn-architecture-search-for-dynamic-inference ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference | DeepAI Sep 19, 2020 - 09/19/20 - Dynamic inference is a feasible way to reduce the computational cost of convolutional neural network(CNN), which can dynamically a... multi stage architecture search efficient cnn https://openreview.net/forum?id=ifbF4WdT8f EvoPrompting: Language Models for Code-Level Neural Architecture Search | OpenReview Given the recent impressive accomplishments of language models (LMs) for code generation, we explore the use of LMs as general adaptive mutation and crossover... neural architecture search language models code level openreview https://openreview.net/forum?id=LV-5kHj-uV5 Differentiable Architecture Search: a One-Shot Method? | OpenReview Differentiable architecture search (DAS) is a widely researched tool for the design of novel architectures. The main benefit of DAS is the effectiveness... architecture search one shot differentiable method openreview https://openreview.net/forum?id=37ffQL4A5oo&referrer=%5Bthe%20profile%20of%20Martin%20Burger%5D(%2Fprofile%3Fid%3D~Martin_Burger1) Neural Architecture Search via Bregman Iterations | OpenReview We propose a novel strategy for Neural Architecture Search (NAS) based on Bregman iterations. Starting from a sparse neural network our gradient-based one-shot... neural architecture search via bregman iterations openreview https://openreview.net/forum?id=BJQRKzbA- Hierarchical Representations for Efficient Architecture Search | OpenReview In this paper we propose a hierarchical architecture representation in which doing random or evolutionary architecture search yields highly competitive results... architecture search hierarchical representations efficient openreview https://arxiv.org/abs/1908.03835 [1908.03835] AutoGAN: Neural Architecture Search for Generative Adversarial Networks Abstract page for arXiv paper 1908.03835: AutoGAN: Neural Architecture Search for Generative Adversarial Networks neural architecture search 1908 03835 generative adversarial https://www.mdpi.com/2072-4292/13/7/1404 Graph Convolutional Networks by Architecture Search for PolSAR Image Classification Classification of polarimetric synthetic aperture radar (PolSAR) images has achieved good results due to the excellent fitting ability of neural networks with... architecture search graph networks image classification https://deepai.org/publication/differentiable-quantum-architecture-search-for-quantum-reinforcement-learning Differentiable Quantum Architecture Search for Quantum Reinforcement Learning | DeepAI Sep 19, 2023 - 09/19/23 - Differentiable quantum architecture search (DQAS) is a gradient-based framework to design quantum circuits automatically in the NI... architecture search reinforcement learning differentiable quantum deepai https://openreview.net/forum?id=AaPhnfFQYn Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting | OpenReview Time series forecasting is ubiquitous in many disciplines. A recent hybrid architecture named predictive Whittle networks (PWNs) tackles this task by employing... time series forecasting bi level one shot architecture search https://openreview.net/forum?id=6RB77-6-_oI How Powerful are Performance Predictors in Neural Architecture Search? | OpenReview We give the first large-scale comparison of performance predictors in NAS, and you won't believe what happens next. neural architecture search powerful performance predictors openreview https://www.ornl.gov/publication/neural-architecture-search-similarity-adaptive-guidance Neural architecture search via similarity adaptive guidance | ORNL Evolutionary neural network architecture search (ENAS) has attracted the attention of many experts due to its global optimization capabilities to automatically... neural architecture search via similarity adaptive guidance https://openreview.net/forum?id=O0XkkITcLJKu Neural Architecture Search for Visual Anomaly Segmentation | OpenReview This paper presents the first application of neural architecture search to the complex task of segmenting visual anomalies. Measurement of anomaly segmentation... neural architecture search visual anomaly segmentation openreview https://www.amazon.science/tag/neural-architecture-search-nas Neural-architecture search (NAS) - Amazon Science neural architecture search nas amazon science https://deepai.org/publication/proxylessnas-direct-neural-architecture-search-on-target-task-and-hardware ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware | DeepAI Dec 2, 2018 - 12/02/18 - Neural architecture search (NAS) has a great impact by automatically designing effective neural network architectures. However, th... neural architecture search on target direct https://deepai.org/publication/hanf-hyperparameter-and-neural-architecture-search-in-federated-learning HANF: Hyperparameter And Neural Architecture Search in Federated Learning | DeepAI Jun 24, 2022 - 06/24/22 - Automated machine learning (AutoML) is an important step to make machine learning models being widely applied to solve real world ... neural architecture search federated learning hanf hyperparameter deepai https://openreview.net/forum?id=n4_RjCTbS_2 Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization |... We automate quantum neural architecture search by designing a quantum circuit metric for Bayesian optimization. neural architecture search quantum circuits metric bayesian https://openreview.net/forum?id=MuSYkd1hxRP Geometry-Aware Gradient Algorithms for Neural Architecture Search | OpenReview Recent state-of-the-art methods for neural architecture search (NAS) exploit gradient-based optimization by relaxing the problem into continuous optimization... neural architecture search geometry aware gradient algorithms https://www.cake.me/jobs/Architecture?page=7 Latest Architecture Jobs - May 2026 | Cake Job Search Find the latest Architecture jobs on Cake Job Search. Explore openings from top corporations, international companies, and startups. Apply for your ideal job... architecture jobs may 2026 latest cake search https://arxiv.org/abs/2512.06982 [2512.06982] LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding Abstract page for arXiv paper 2512.06982: LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding https://openreview.net/forum?id=2UeiNuWA636&referrer=%5Bthe%20profile%20of%20Xing%20Zhang%5D(%2Fprofile%3Fid%3D~Xing_Zhang6) StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search |... Recently, the efficiency of automatic neural architecture design has been significantly improved by gradient-based search methods such as DARTS. However,... towards stable consistent https://www.cake.me/jobs/for-it_system-architecture/in-Japan?seniority_levels=entry_level Latest System Architecture Jobs in Japan - May 2026 | Cake Job Search Find the latest System Architecture jobs in Japan on Cake Job Search. Explore openings from top corporations, international companies, and startups. Apply for... jobs in japan system architecture may 2026 latest