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Learning to Reweight Examples for Robust Deep Learning

Learning to Reweight Examples for Robust Deep Learning

24 March 2018
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
    OOD
    NoLa
ArXivPDFHTML

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

50 / 772 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Z. Li
Yang Zhang
Dong Wang
CVBM
58
0
0
03 May 2025
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
Junshu Pan
Wei Shen
Shulin Huang
Qiji Zhou
Yue Zhang
69
0
0
22 Apr 2025
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions
Shuxian Zhao
Jie Gui
Minjing Dong
Baosheng Yu
Zhipeng Gui
Lu Dong
Yuan Yan Tang
James T. Kwok
34
0
0
21 Apr 2025
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
Zhenxiao Fu
Leyi Zhao
Xuhong Zhang
Yilun Xu
Gang Huang
Fan Chen
AAML
49
0
0
01 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
56
1
0
24 Mar 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
63
0
0
14 Mar 2025
Token Weighting for Long-Range Language Modeling
Falko Helm
Nico Daheim
Iryna Gurevych
60
1
0
12 Mar 2025
Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
Mikey Shechter
Yair Carmon
CLIP
42
0
0
11 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Rui Qiao
Zhaoxuan Wu
Jingtan Wang
Pang Wei Koh
Bryan Kian Hsiang Low
OOD
53
2
0
10 Mar 2025
An Efficient Plugin Method for Metric Optimization of Black-Box Models
Siddartha Devic
Nurendra Choudhary
Anirudh Srinivasan
Sahika Genc
B. Kveton
G. Hiranandani
39
0
0
03 Mar 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
Qizhou Wang
Jin Peng Zhou
Zhanke Zhou
Saebyeol Shin
Bo Han
Kilian Q. Weinberger
AILaw
ELM
MU
68
3
0
26 Feb 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
57
0
0
25 Feb 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples
Hansung Choi
Daewon Seo
46
0
0
24 Feb 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang
Na Lu
Xueying Zhao
Yuxuan Yan
Kaipeng Ma
Kwoh Chee Keong
Gustavo Carneiro
NoLa
59
0
0
22 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Shyam Venkatasubramanian
Vahid Tarokh
81
0
0
17 Feb 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Daouda Sow
Herbert Woisetschläger
Saikiran Bulusu
Shiqiang Wang
Hans-Arno Jacobsen
Yingbin Liang
59
0
0
10 Feb 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Chao Liang
Linchao Zhu
Zongxin Yang
Wei Chen
Yi Yang
NoLa
59
0
0
05 Jan 2025
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng
Bowen Han
Jiaqi Chen
Hao Wang
Dongyue Chen
Tong Jia
VLM
NoLa
71
0
0
17 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization
The Pitfalls of Memorization: When Memorization Hurts Generalization
Reza Bayat
Mohammad Pezeshki
Elvis Dohmatob
David Lopez-Paz
Pascal Vincent
OOD
105
3
0
10 Dec 2024
Task-driven Image Fusion with Learnable Fusion Loss
Task-driven Image Fusion with Learnable Fusion Loss
Haowen Bai
Jiangshe Zhang
Zixiang Zhao
Yichen Wu
Lilun Deng
Yukun Cui
Tao Feng
Shuang Xu
81
0
0
04 Dec 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Rohith Peddi
Saurabh
Ayush Abhay Shrivastava
Parag Singla
Vibhav Gogate
82
0
0
20 Nov 2024
A Bayesian Approach to Data Point Selection
A Bayesian Approach to Data Point Selection
Xinnuo Xu
Minyoung Kim
Royson Lee
Brais Martínez
Timothy M. Hospedales
33
0
0
06 Nov 2024
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via
  Intrinsic Reweighting
Alpha and Prejudice: Improving ααα-sized Worst-case Fairness via Intrinsic Reweighting
Jing Li
Yinghua Yao
Yuangang Pan
Xuanqian Wang
Ivor Tsang
Xiuju Fu
FaML
37
0
0
05 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
J. B. Graham-Knight
Jamil Fayyad
Nourhan Bayasi
Patricia Lasserre
H. Najjaran
35
0
0
04 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Xuanqian Wang
Jing Li
Ivor Tsang
Yew-Soon Ong
29
0
0
04 Nov 2024
Understanding Representation of Deep Equilibrium Models from Neural
  Collapse Perspective
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun
Ye Shi
37
0
0
30 Oct 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation
  with Ordinal Noisy Labels
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
Shumpei Takezaki
Kiyohito Tanaka
S. Uchida
NoLa
25
0
0
29 Oct 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for
  Long-Tailed Visual Recognition
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
Mengke Li
Y. Liu
Yang Lu
Yiqun Zhang
Yiu-ming Cheung
Hui Huang
VLM
33
2
0
28 Oct 2024
Informed Deep Abstaining Classifier: Investigating noise-robust training
  for diagnostic decision support systems
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
H. Schneider
Sebastian Nowak
Aditya Parikh
Yannik C. Layer
Maike Theis
Wolfgang Block
Alois M. Sprinkart
U. Attenberger
R. Sifa
NoLa
23
0
0
28 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Firas Bayram
Bestoun S. Ahmed
OOD
34
0
0
28 Oct 2024
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
Hsun-Yu Kuo
Yin-Hsiang Liao
Yu-Chieh Chao
Wei-Yun Ma
Pu-Jen Cheng
SyDa
45
2
0
28 Oct 2024
Binary Classification: Is Boosting stronger than Bagging?
Binary Classification: Is Boosting stronger than Bagging?
Dimitris Bertsimas
Vasiliki Stoumpou
MQ
23
0
0
24 Oct 2024
Meta-Learning with Heterogeneous Tasks
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
32
1
0
24 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
26
1
0
21 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
26
0
0
18 Oct 2024
Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle
  Positioning
Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle Positioning
Ouwen Huan
T. Luo
Mingzhe Chen
26
1
0
15 Oct 2024
MYCROFT: Towards Effective and Efficient External Data Augmentation
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
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
28
1
0
08 Oct 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Jiawei Yao
Chuming Li
Canran Xiao
18
6
0
08 Oct 2024
Underwater Object Detection in the Era of Artificial Intelligence:
  Current, Challenge, and Future
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Long Chen
Yuzhi Huang
Junyu Dong
Qi Xu
Sam Kwong
Huimin Lu
Huchuan Lu
Chongyi Li
31
2
0
08 Oct 2024
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in
  Predictive Models for Neuroimaging
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
Magdalini Paschali
Yu Hang Jiang
Spencer Siegel
Camila Gonzalez
K. Pohl
Akshay S. Chaudhari
Qingyu Zhao
20
0
0
01 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando De la Torre
37
2
0
26 Sep 2024
Efficient Bias Mitigation Without Privileged Information
Efficient Bias Mitigation Without Privileged Information
Mateo Espinosa Zarlenga
Swami Sankaranarayanan
Jerone T. A. Andrews
Z. Shams
M. Jamnik
Alice Xiang
36
3
0
26 Sep 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
28
3
0
26 Sep 2024
Efficient Classification of Histopathology Images
Efficient Classification of Histopathology Images
Mohammad Iqbal Nouyed
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
28
0
0
08 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
25
0
0
30 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for
  Long-Tailed Continual Learning
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
Lei Liu
Li Liu
Yawen Cui
CLL
27
0
0
27 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
38
1
0
26 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation,
  and Beyond
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu
Zonglin Di
Jiaheng Wei
Zhongruo Wang
Hengxiang Zhang
...
Haobo Wang
Lei Feng
Jindong Wang
James Davis
Yang Liu
40
4
0
21 Aug 2024
Flexora: Flexible Low Rank Adaptation for Large Language Models
Flexora: Flexible Low Rank Adaptation for Large Language Models
Chenxing Wei
Yao Shu
Ying Tiffany He
Fei Richard Yu
AI4CE
29
3
0
20 Aug 2024
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