v1v2 (latest)

Deep Active Learning with a Neural Architecture Search

19 November 2018

Papers citing "Deep Active Learning with a Neural Architecture Search"

25 / 25 papers shown

Title
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning Deshani Geethika Poddenige Sachith Seneviratne Damith A. Senanayake Mahesan Niranjan PN Suganthan Saman K. Halgamuge 80 0 0 28 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning S. Banerjee Vinay Kumar Verma SSL 103 0 0 10 Mar 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 159 0 0 28 Jan 2025
AI-coupled HPC Workflow Applications, Middleware and Performance Wes Brewer Ana Gainaru Frédéric Suter Feiyi Wang M. Emani S. Jha 84 10 0 20 Jun 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Xue Liu Weiping Ding Manabu Okumura 165 31 0 01 May 2024
Active Prompt Learning in Vision Language Models Jihwan Bang Sumyeong Ahn Jae-Gil Lee VLM 66 14 0 18 Nov 2023
ResBuilder: Automated Learning of Depth with Residual Structures Julian Burghoff Matthias Rottmann Jill von Conta S. Schoenen A. Witte Hanno Gottschalk 46 0 0 16 Aug 2023
Active Learning for Video Classification with Frame Level Queries D. Goswami Shayok Chakraborty VLM 39 2 0 10 Jul 2023
Self-Expanding Neural Networks Rupert Mitchell Robin Menzenbach Kristian Kersting Martin Mundt 110 9 0 10 Jul 2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework Hua Wang Sheng-yang Gao Huanyu Zhang Weijie J. Su Milan Shen 118 5 0 09 Jun 2023
Deep Active Learning with Structured Neural Depth Search Xiaoyun Zhang Xieyi Ping Jianwei Zhang 75 0 0 05 Jun 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review Jiajia Li Dong Chen Xinda Qi Zhao Li Yanbo Huang Daniel Morris Xiaobo Tan 87 38 0 24 May 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Alexandre Heuillet A. Nasser Hichem Arioui Hedi Tabia AI4CE 116 15 0 11 Apr 2023
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data Nicole Hayes Ekaterina Merkurjev Guo-Wei Wei 58 8 0 12 Nov 2022
High Dimensional Level Set Estimation with Bayesian Neural Network Huong Ha Sunil R. Gupta Santu Rana Svetha Venkatesh 95 10 0 17 Dec 2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition Nisha Pillai Edward Raff Francis Ferraro Cynthia Matuszek 62 3 0 16 Nov 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 142 153 0 03 Sep 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 138 1,160 0 30 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation S. Golestaneh Kris Kitani SSL 54 36 0 04 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 101 111 0 04 Aug 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 66 12 0 07 Jul 2020
DEGAS: Differentiable Efficient Generator Search Sivan Doveh Raja Giryes 55 18 0 02 Dec 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 190 1,478 0 02 Aug 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 151 311 0 26 Jan 2019
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 113 607 0 28 May 2018