Gone Fishing: Neural Active Learning with Fisher Embeddings

17 June 2021

Papers citing "Gone Fishing: Neural Active Learning with Fisher Embeddings"

50 / 63 papers shown

Title
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 53 0 0 08 May 2025
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Rohan Surana Junda Wu Zhouhang Xie Yu Xia Harald Steck Dawen Liang Nathan Kallus Julian McAuley 26 0 0 21 Apr 2025
Dependency-aware Maximum Likelihood Estimation for Active Learning Beyza Kalkanli Tales Imbiriba Stratis Ioannidis Deniz Erdogmus Jennifer Dy 37 0 0 07 Mar 2025
Active Learning for Direct Preference Optimization B. Kveton Xintong Li Julian McAuley Ryan Rossi Jingbo Shang Junda Wu Tong Yu 56 1 0 03 Mar 2025
From Selection to Generation: A Survey of LLM-based Active Learning Yu Xia Subhojyoti Mukherjee Zhouhang Xie Junda Wu Xintong Li ... Namyong Park T. Nguyen Jiebo Luo Ryan Rossi Julian McAuley 53 0 0 17 Feb 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 80 0 0 30 Dec 2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 29 0 0 23 Dec 2024
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation Hechuan Wen Tong Chen Guanhua Ye Li Kheng Chai S. Sadiq Hongzhi Yin OOD 45 1 0 18 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 77 0 0 10 Nov 2024
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information Shreen Gul Mohamed Elmahallawy S. Madria Ardhendu Tripathy 26 1 0 08 Nov 2024
regAL: Python Package for Active Learning of Regression Problems Elizaveta Surzhikova Jonny Proppe AI4CE 19 0 0 23 Oct 2024
Deep Active Learning with Manifold-preserving Trajectory Sampling Yingrui Ji Vijaya Sindhoori Kaza Nishanth Artham Tianyang Wang 19 1 0 21 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 5 0 10 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao S. K. Maharana Rishabh K Iyer Yunhui Guo 3DPC 23 0 0 04 Oct 2024
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection Huang-Yu Chen Jia-Fong Yeh Jia-Wei Liao Pin-Hsuan Peng Winston H. Hsu 44 0 0 09 Sep 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 36 0 0 03 Aug 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 41 4 0 02 Aug 2024
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning Yifang Chen Shuohang Wang Ziyi Yang Hiteshi Sharma Nikos Karampatziakis Donghan Yu Kevin G. Jamieson Simon Shaolei Du Yelong Shen OffRL 41 4 0 02 Jul 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 31 4 0 27 Jun 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training David Brandfonbrener Hanlin Zhang Andreas Kirsch Jonathan Richard Schwarz Sham Kakade 26 7 0 15 Jun 2024
Generative Active Learning for Long-tailed Instance Segmentation Muzhi Zhu Chengxiang Fan Hao Chen Y. Liu Weian Mao Xiaogang Xu Chunhua Shen 40 5 0 04 Jun 2024
Active Preference Learning for Ordering Items In- and Out-of-sample Herman Bergström Emil Carlsson Devdatt Dubhashi Fredrik D. Johansson 25 0 0 05 May 2024
Optimal Design for Human Feedback Subhojyoti Mukherjee Anusha Lalitha Kousha Kalantari Aniket Deshmukh Ge Liu Yifei Ma B. Kveton 31 5 0 22 Apr 2024
Neural Active Learning Beyond Bandits Yikun Ban Ishika Agarwal Ziwei Wu Yada Zhu Kommy Weldemariam Hanghang Tong Jingrui He 27 5 0 18 Apr 2024
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification Denis Huseljic Paul Hahn M. Herde Lukas Rauch Bernhard Sick 18 1 0 13 Apr 2024
Experimental Design for Active Transductive Inference in Large Language Models Subhojyoti Mukherjee Anusha Lalitha Aniket Deshmukh Ge Liu Yifei Ma B. Kveton LRM 35 1 0 12 Apr 2024
Bayesian Active Learning for Censored Regression F. B. Hüttel Christoffer Riis Filipe Rodrigues Francisco Câmara Pereira 21 1 0 19 Feb 2024
Learning from the Best: Active Learning for Wireless Communications N. Soltani Jifan Zhang Batool Salehi Debashri Roy Rob Nowak Kaushik R. Chowdhury 18 3 0 23 Jan 2024
Querying Easily Flip-flopped Samples for Deep Active Learning S. Cho G. Kim Junghyun Lee Jinwoo Shin Chang-Dong Yoo 23 6 0 18 Jan 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models Gantavya Bhatt Yifang Chen Arnav M. Das Jifan Zhang Sang T. Truong ... Jeff Bilmes S. Du Kevin G. Jamieson Jordan T. Ash Robert D. Nowak 34 14 0 12 Jan 2024
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning Wei Tan Lan Du Wray L. Buntine 32 7 0 15 Dec 2023
DIRECT: Deep Active Learning under Imbalance and Label Noise Shyam Nuggehalli Jifan Zhang Lalit P. Jain Robert D. Nowak 21 8 0 14 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 21 31 0 29 Nov 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 39 22 0 22 Oct 2023
Towards Open World Active Learning for 3D Object Detection Zhuoxiao Chen Yadan Luo Zixin Wang Zijian Wang Xin Yu Zi Huang 27 0 0 16 Oct 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry D. Meger UD 11 1 0 25 Aug 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo Zhuoxiao Chen Zhenying Fang Zheng-Wei Zhang Zi Huang Mahsa Baktashmotlagh 3DPC 13 12 0 16 Jul 2023
IAdet: Simplest human-in-the-loop object detection Franco Marchesoni-Acland Gabriele Facciolo VLM 39 1 0 04 Jul 2023
Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation Franco Marchesoni-Acland Jean-Michel Morel J. Kherroubi Gabriele Facciolo 15 0 0 04 Jul 2023
BatchGFN: Generative Flow Networks for Batch Active Learning Shreshth A. Malik Salem Lahlou Andrew Jesson Moksh Jain Nikolay Malkin T. Deleu Yoshua Bengio Y. Gal AI4CE 19 2 0 26 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification Nathan Beck Krishnateja Killamsetty Suraj Kothawade Rishabh K. Iyer 9 6 0 02 Jun 2023
Streaming Active Learning with Deep Neural Networks Akanksha Saran Safoora Yousefi A. Krishnamurthy John Langford Jordan T. Ash 32 15 0 05 Mar 2023
Black-Box Batch Active Learning for Regression Andreas Kirsch 19 7 0 17 Feb 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 13 18 0 14 Feb 2023
Active Learning Guided by Efficient Surrogate Learners Yunpyo An Suyeong Park K. Kim 9 1 0 07 Jan 2023
Confidence Sets under Generalized Self-Concordance Lang Liu Zaïd Harchaoui 11 1 0 31 Dec 2022
Neural Active Learning on Heteroskedastic Distributions Savya Khosla Chew Kin Whye Jordan T. Ash Cyril Zhang Kenji Kawaguchi Alex Lamb 17 2 0 02 Nov 2022
Targeted active learning for probabilistic models Christopher Tosh Mauricio Tec Wesley Tansey 19 2 0 21 Oct 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics Yinglun Zhu Robert D. Nowak 62 5 0 15 Oct 2022