Training-Free Neural Active Learning with Initialization-Robustness
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Training-Free Neural Active Learning with Initialization-Robustness Guarantees

7 June 2023

Apivich Hemachandra

Jasraj Singh

See-Kiong Ng

Papers citing "Training-Free Neural Active Learning with Initialization-Robustness Guarantees"

8 / 8 papers shown

Title
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau S. Ng Bryan Kian Hsiang Low PINN 37 0 0 10 Mar 2025
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 22 3 0 07 Jun 2024
Neural Active Learning Beyond Bandits Yikun Ban Ishika Agarwal Ziwei Wu Yada Zhu Kommy Weldemariam Hanghang Tong Jingrui He 19 5 0 18 Apr 2024
PINNACLE: PINN Adaptive ColLocation and Experimental points selection Gregory Kang Ruey Lau Apivich Hemachandra See-Kiong Ng K. H. Low 3DPC 21 17 0 11 Apr 2024
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search Yao Shu Zhongxiang Dai Zhaoxuan Wu K. H. Low AI4CE 29 24 0 24 Jan 2022
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 17 31 0 16 Oct 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 76 109 0 20 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 90 119 0 16 Oct 2020