Probabilistic Bilevel Coreset Selection

Probabilistic Bilevel Coreset Selection

24 January 2023

Weizhong Zhang

Yong Lin

Tong Zhang

Papers citing "Probabilistic Bilevel Coreset Selection"

19 / 19 papers shown

Title
On Penalty-based Bilevel Gradient Descent Method Han Shen Quan-Wu Xiao Tianyi Chen 60 51 0 08 Jan 2025
MYCROFT: Towards Effective and Efficient External Data Augmentation Zain Sarwar Van-Tai Tran A. Bhagoji Nick Feamster Ben Y. Zhao Supriyo Chakraborty 32 0 0 11 Oct 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting Rui Pan Jipeng Zhang Xingyuan Pan Renjie Pi Xiaoyu Wang Tong Zhang 58 5 0 28 Jun 2024
Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions Renjie Pi Jianshu Zhang Jipeng Zhang Rui Pan Zhekai Chen Tong Zhang 3DV 47 19 0 11 Jun 2024
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept Guangliang Liu Haitao Mao Bochuan Cao Zhiyu Xue K. Johnson Jiliang Tang Rongrong Wang LRM 34 9 0 04 Jun 2024
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization Renjie Pi Tianyang Han Wei Xiong Jipeng Zhang Runtao Liu Rui Pan Tong Zhang MLLM 43 33 0 13 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 98 4 0 01 Mar 2024
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 42 9 0 15 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 35 1 0 25 Oct 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 27 4 0 05 Sep 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 36 8 0 21 Oct 2022
Write and Paint: Generative Vision-Language Models are Unified Modal Learners Shizhe Diao Wangchunshu Zhou Xinsong Zhang Jiawei Wang MLLM AI4CE 19 16 0 15 Jun 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 67 45 0 25 May 2022
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 89 38 0 27 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 406 0 06 Mar 2017
Survey on Feature Selection T. Abdallah B. Iglesia 60 230 0 10 Oct 2015