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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
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit
  Adjustment
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
25
2
0
19 Aug 2024
On the KL-Divergence-based Robust Satisficing Model
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan
Minglong Zhou
Jiayi Guo
31
0
0
17 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
29
6
0
01 Aug 2024
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale
  Social Balance
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
Marco Minici
Federico Cinus
Francesco Bonchi
Giuseppe Manco
19
0
0
22 Jul 2024
Refining Corpora from a Model Calibration Perspective for Chinese
  Spelling Correction
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction
Dingyao Yu
Yang An
Wei Ye
Xiongfeng Xiao
Shaoguang Mao
Tao Ge
Shikun Zhang
44
1
0
22 Jul 2024
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Wei Jiang
Tong Chen
Guanhua Ye
Wentao Zhang
Lizhen Cui
Zi Huang
Hongzhi Yin
AI4TS
AI4CE
21
5
0
18 Jul 2024
Improving SAM Requires Rethinking its Optimization Formulation
Improving SAM Requires Rethinking its Optimization Formulation
Wanyun Xie
Fabian Latorre
Kimon Antonakopoulos
Thomas Pethick
V. Cevher
39
1
0
17 Jul 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial
  Attribute Classification
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran
A. Rattani
37
1
0
14 Jul 2024
Learning to Complement and to Defer to Multiple Users
Learning to Complement and to Defer to Multiple Users
Zheng Zhang
Wenjie Ai
Kevin Wells
David Rosewarne
Thanh-Toan Do
Gustavo Carneiro
53
0
0
09 Jul 2024
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language
  Model Pre-training
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
Nan He
Weichen Xiong
Hanwen Liu
Yi Liao
Lei Ding
Kai Zhang
Guohua Tang
Xiao Han
Wei Yang
48
1
0
09 Jul 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in
  Text Classification
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
Hongfei Huang
Tingting Liang
Xixi Sun
Zikang Jin
Yuyu Yin
NoLa
39
1
0
09 Jul 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language
  Representation Learning
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Thong Nguyen
Yi Bin
Xiaobao Wu
Xinshuai Dong
Zhiyuan Hu
Khoi M. Le
Cong-Duy Nguyen
See-Kiong Ng
Luu Anh Tuan
39
5
0
04 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng
Zeren Sun
Tao Chen
Shuchao Pang
Yucheng Wang
Yazhou Yao
31
2
0
03 Jul 2024
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing
  with the Data Imbalance in Graph Neural Networks
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
Mahdi Mohammadizadeh
Arash Mozhdehi
Yani Andrew Ioannou
Xin Wang
39
1
0
24 Jun 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D
  Reconstruction
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
Yangdi Lu
Wenbo He
3DV
40
0
0
23 Jun 2024
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain
  Adaptation Approach
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
Mengcheng Lan
Min Meng
Jun-chen Yu
Jigang Wu
CLL
47
1
0
20 Jun 2024
The Benefits and Risks of Transductive Approaches for AI Fairness
The Benefits and Risks of Transductive Approaches for AI Fairness
Muhammed Razzak
Andreas Kirsch
Yarin Gal
30
0
0
17 Jun 2024
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing
  Methods in Proteomics
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
Jingbo Zhou
Shaorong Chen
Jun-Xiong Xia
Sizhe Liu
Tianze Ling
Wenjie Du
Yue Liu
Jianwei Yin
Stan Z. Li
27
2
0
16 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
42
2
0
11 Jun 2024
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on
  Long-Tailed Datasets
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
Chenxia Tang
22
1
0
11 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
56
0
0
03 Jun 2024
Mitigating the Impact of Labeling Errors on Training via Rockafellian
  Relaxation
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation
Louis L. Chen
Bobbie Chern
Eric Eckstrand
Amogh Mahapatra
J. Royset
19
0
0
30 May 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label
  Detection
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim
Dongha Lee
SeongKu Kang
Sukang Chae
Sanghwan Jang
Hwanjo Yu
32
1
0
30 May 2024
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
J. Rudie
Hui-Ming Lin
Robyn L. Ball
S. Jalal
Luciano M Prevedello
...
Eduardo Moreno Júdice de Mattos Farina
Dataset Curator Group
Dataset Contributor Group
Dataset Annotator Group
E. Colak
23
2
0
30 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Nicolas Dufour
Victor Besnier
Vicky Kalogeiton
David Picard
DiffM
56
2
0
30 May 2024
Cascade-Aware Training of Language Models
Cascade-Aware Training of Language Models
Congchao Wang
Sean Augenstein
Keith Rush
Wittawat Jitkrittum
Harikrishna Narasimhan
A. S. Rawat
A. Menon
Alec Go
33
4
0
29 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client
  Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
31
0
0
24 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual
  Backbone Training
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
Yulin Wang
Yang Yue
Rui Lu
Yizeng Han
Shiji Song
Gao Huang
VLM
58
12
0
14 May 2024
Data Valuation with Gradient Similarity
Data Valuation with Gradient Similarity
Nathaniel J. Evans
Gordon B. Mills
Guanming Wu
Xubo Song
Shannon K. McWeeney
TDI
25
1
0
13 May 2024
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity
  Recognition
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
Elena Merdjanovska
Ansar Aynetdinov
Alan Akbik
NoLa
29
1
0
13 May 2024
Reimplementation of Learning to Reweight Examples for Robust Deep
  Learning
Reimplementation of Learning to Reweight Examples for Robust Deep Learning
Parth Patil
Ben Boardley
Jack Gardner
Emily Loiselle
D. Parthipan
25
0
0
11 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label
  Learning
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
Rui Zhao
Bin Shi
Jianfei Ruan
Tianze Pan
Bo Dong
NoLa
34
5
0
08 May 2024
Effective and Robust Adversarial Training against Data and Label
  Corruptions
Effective and Robust Adversarial Training against Data and Label Corruptions
Pengfei Zhang
Zi Huang
Xin-Shun Xu
Guangdong Bai
51
4
0
07 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
36
0
0
02 May 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Xiaoling Zhou
Wei Ye
Zhemg Lee
Rui Xie
Shi-Bo Zhang
38
1
0
25 Apr 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
28
1
0
24 Apr 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Mu Wang
47
0
0
23 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed
  Classification
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification
Zhuo Li
He Zhao
Zhen Li
Tongliang Liu
Dandan Guo
Xiang Wan
NoLa
40
1
0
10 Apr 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
Junlin Hou
Jilan Xu
Rui Feng
Hao Chen
23
0
0
08 Apr 2024
ROPO: Robust Preference Optimization for Large Language Models
ROPO: Robust Preference Optimization for Large Language Models
Xize Liang
Chao Chen
Shuang Qiu
Jie Wang
Yue-bo Wu
Zhihang Fu
Zhihao Shi
Feng Wu
Jieping Ye
48
1
0
05 Apr 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning
Pairwise Similarity Distribution Clustering for Noisy Label Learning
Sihan Bai
NoLa
24
0
0
02 Apr 2024
Predicting Perceived Gloss: Do Weak Labels Suffice?
Predicting Perceived Gloss: Do Weak Labels Suffice?
Julia Guerrero-Viu
J. Daniel Subias
Ana Serrano
Katherine R. Storrs
Roland W. Fleming
B. Masiá
Diego F. F. Gutierrez
29
2
0
26 Mar 2024
Group Benefits Instances Selection for Data Purification
Group Benefits Instances Selection for Data Purification
Zhenhuang Cai
Chuanyi Zhang
Dan Huang
Yuanbo Chen
Xiuyun Guan
Yazhou Yao
NoLa
45
0
0
23 Mar 2024
A Unified Optimal Transport Framework for Cross-Modal Retrieval with
  Noisy Labels
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
Haocheng Han
Minnan Luo
Huan Liu
Fang Nan
33
0
0
20 Mar 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition
Tackling Noisy Labels with Network Parameter Additive Decomposition
Jingyi Wang
Xiaobo Xia
Long Lan
Xinghao Wu
Jun-chen Yu
Wenjing Yang
Bo Han
Tongliang Liu
NoLa
43
8
0
20 Mar 2024
Improving Generalization via Meta-Learning on Hard Samples
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain
A. Suggala
Pradeep Shenoy
OOD
OffRL
36
2
0
18 Mar 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
38
2
0
18 Mar 2024
DuPL: Dual Student with Trustworthy Progressive Learning for Robust
  Weakly Supervised Semantic Segmentation
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
Yuanchen Wu
Xichen Ye
Kequan Yang
Jide Li
Xiaoqiang Li
47
9
0
17 Mar 2024
Active Label Correction for Semantic Segmentation with Foundation Models
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim
S. Hwang
Suha Kwak
Jungseul Ok
VLM
37
1
0
16 Mar 2024
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