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Fast Rates in Pool-Based Batch Active Learning
v1v2 (latest)

Fast Rates in Pool-Based Batch Active Learning

11 February 2022
Claudio Gentile
Zhilei Wang
Tong Zhang
ArXiv (abs)PDFHTML

Papers citing "Fast Rates in Pool-Based Batch Active Learning"

12 / 12 papers shown
Title
ActiveCQ: Active Estimation of Causal Quantities
ActiveCQ: Active Estimation of Causal Quantities
Erdun Gao
Dino Sejdinovic
64
0
0
29 Sep 2025
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu
Ayush Sekhari
Karthik Sridharan
MU
139
0
0
06 Jun 2025
Daunce: Data Attribution through Uncertainty Estimation
Daunce: Data Attribution through Uncertainty Estimation
Xingyuan Pan
Chenlu Ye
Joseph Melkonian
Jiaqi W. Ma
Tong Zhang
TDIUQCV
147
0
0
29 May 2025
The Power of Adaptation: Boosting In-Context Learning through Adaptive
  Prompting
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Shuzhang Cai
Twumasi Mensah-Boateng
Xander Kuksov
Jing Yuan
Shaojie Tang
130
0
0
23 Dec 2024
Evolving Knowledge Distillation with Large Language Models and Active
  Learning
Evolving Knowledge Distillation with Large Language Models and Active LearningInternational Conference on Language Resources and Evaluation (LREC), 2024
Chengyuan Liu
Yangyang Kang
Fubang Zhao
Kun Kuang
Zhuoren Jiang
Changlong Sun
Leilei Gan
119
12
0
11 Mar 2024
Reinforcement Learning from Human Feedback with Active Queries
Reinforcement Learning from Human Feedback with Active Queries
Kaixuan Ji
Jiafan He
Quanquan Gu
323
31
0
14 Feb 2024
Online Iterative Reinforcement Learning from Human Feedback with General
  Preference Model
Online Iterative Reinforcement Learning from Human Feedback with General Preference ModelNeural Information Processing Systems (NeurIPS), 2024
Chen Ye
Wei Xiong
Yuheng Zhang
Nan Jiang
Tong Zhang
OffRL
230
30
0
11 Feb 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and
  Practice for RLHF under KL-Constraint
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
Wei Xiong
Hanze Dong
Chen Ye
Ziqi Wang
Han Zhong
Heng Ji
Nan Jiang
Tong Zhang
OffRL
239
286
0
18 Dec 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large
  Language Models for Data Annotation
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Minzhi Li
Taiwei Shi
Caleb Ziems
Min-Yen Kan
Nancy F. Chen
Zhengyuan Liu
Diyi Yang
217
103
0
24 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
400
3
0
29 Sep 2023
Fairness-guided Few-shot Prompting for Large Language Models
Fairness-guided Few-shot Prompting for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Huan Ma
Changqing Zhang
Yatao Bian
Lemao Liu
Zhirui Zhang
P. Zhao
Shu Zhen Zhang
Huazhu Fu
Qinghua Hu
Bing Wu
LLMAGLRM
168
57
0
23 Mar 2023
Active Prompting with Chain-of-Thought for Large Language Models
Active Prompting with Chain-of-Thought for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shizhe Diao
Pengcheng Wang
Yong Lin
Tong Zhang
ReLMKELMLLMAGLRM
331
178
0
23 Feb 2023
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