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An Empirical Study of Example Forgetting during Deep Neural Network
  Learning

An Empirical Study of Example Forgetting during Deep Neural Network Learning

12 December 2018
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
ArXivPDFHTML

Papers citing "An Empirical Study of Example Forgetting during Deep Neural Network Learning"

50 / 482 papers shown
Title
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
S. M. I. Simon X. Yang
Peng Ye
F. Shen
Dongzhan Zhou
24
0
0
02 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang
Chengliang Chai
Jingzhe Xu
Chi Zhang
Ye Yuan
Guoren Wang
Lei Cao
NoLa
59
0
0
01 May 2025
Identifying Key Challenges of Hardness-Based Resampling
Identifying Key Challenges of Hardness-Based Resampling
Pawel Pukowski
Venet Osmani
33
0
0
09 Apr 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz
Xingyu Zheng
C. Dovrolis
OOD
38
0
0
07 Apr 2025
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
Jiztom Kavalakkatt Francis
Matthew J. Darr
32
0
0
02 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
57
0
0
01 Apr 2025
Pay More Attention to the Robustness of Prompt for Instruction Data Mining
Pay More Attention to the Robustness of Prompt for Instruction Data Mining
Qiang Wang
Dawei Feng
Xu Zhang
Ao Shen
Yang Xu
Bo Ding
H. Wang
AAML
46
0
0
31 Mar 2025
Severing Spurious Correlations with Data Pruning
Severing Spurious Correlations with Data Pruning
Varun Mulchandani
Jung-Eun Kim
144
0
0
24 Mar 2025
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Boqi Chen
Cédric Vincent-Cuaz
Lydia A. Schoenpflug
Manuel Madeira
Lisa Fournier
...
D. Thanou
V. Koelzer
Pascal Frossard
Gabriele Campanella
Gunnar Rätsch
51
0
0
24 Mar 2025
Squeeze Out Tokens from Sample for Finer-Grained Data Governance
Squeeze Out Tokens from Sample for Finer-Grained Data Governance
Weixiong Lin
Chen Ju
Haicheng Wang
Shengchao Hu
Shuai Xiao
...
Yuheng Jiao
Mingshuai Yao
Jinsong Lan
Qingwen Liu
Ying Chen
50
0
0
18 Mar 2025
Scale Efficient Training for Large Datasets
Scale Efficient Training for Large Datasets
Qing Zhou
Junyu Gao
Qi Wang
DD
75
0
0
17 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation
A Large-Scale Study on Video Action Dataset Condensation
Yang Chen
Sheng Guo
Bo Zheng
Limin Wang
DD
77
2
0
13 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
36
0
0
12 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
45
0
0
10 Mar 2025
Data Efficient Subset Training with Differential Privacy
Ninad Jayesh Gandhi
Moparthy Venkata Subrahmanya Sri Harsha
53
0
0
09 Mar 2025
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
Yunxiao Shi
Wujiang Xu
Zeqi Zhang
Xing Zi
Qiang Wu
Min Xu
69
0
0
04 Mar 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
Timothee Mickus
Aman Sinha
Raúl Vázquez
53
0
0
03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation
Yalun Dai
Lingao Xiao
Ivor W. Tsang
Yang He
ISeg
48
0
0
02 Mar 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang
Quanwei Wang
Chenghao Li
Hao Hu
Chengjie Wu
...
Dianyu Zhong
Ziyou Zhang
Qianchuan Zhao
Chongjie Zhang
Xu Bo
OffRL
47
0
0
26 Feb 2025
Model-agnostic Coreset Selection via LLM-based Concept Bottlenecks
Akshay Mehra
Trisha Mittal
Subhadra Gopalakrishnan
Joshua Kimball
43
0
0
23 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao
Jie Zhang
80
0
0
18 Feb 2025
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Jie Xu
Zihan Wu
TDI
53
0
0
15 Feb 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
96
14
0
11 Feb 2025
On Learning Representations for Tabular Data Distillation
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
O. Seneviratne
DD
62
0
0
23 Jan 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
59
0
0
20 Jan 2025
Generative Dataset Distillation Based on Self-knowledge Distillation
Generative Dataset Distillation Based on Self-knowledge Distillation
Longzhen Li
G. Li
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
DD
44
0
0
08 Jan 2025
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
S. Joshi
Besmira Nushi
Vidhisha Balachandran
Varun Chandrasekaran
Vibhav Vineet
Neel Joshi
Baharan Mirzasoleiman
MLLM
VLM
44
0
0
07 Jan 2025
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
Binh-Nguyen Nguyen
Yang He
38
1
0
05 Jan 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
28
0
0
03 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
60
2
0
01 Jan 2025
Audiopedia: Audio QA with Knowledge
Audiopedia: Audio QA with Knowledge
Abhirama Subramanyam Penamakuri
Kiran Chhatre
Akshat Jain
KELM
AuLLM
RALM
53
0
0
31 Dec 2024
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
90
12
0
31 Dec 2024
Demystifying CLIP Data
Demystifying CLIP Data
Hu Xu
Saining Xie
Xiaoqing Ellen Tan
Po-Yao (Bernie) Huang
Russell Howes
Vasu Sharma
Shang-Wen Li
Gargi Ghosh
Luke Zettlemoyer
Christoph Feichtenhofer
VLM
CLIP
42
108
0
31 Dec 2024
Adaptive Dataset Quantization
Adaptive Dataset Quantization
Muquan Li
Dongyang Zhang
Qiang Dong
Xiurui Xie
Ke Qin
DD
MQ
88
0
0
22 Dec 2024
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for
  Object Re-identification
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification
Zi Yang
Haojin Yang
Soumajit Majumder
Jorge M. Cardoso
Guillermo Gallego
MoMe
VLM
93
1
0
13 Dec 2024
Decomposed Distribution Matching in Dataset Condensation
Decomposed Distribution Matching in Dataset Condensation
Sahar Rahimi Malakshan
Mohammad Saeed Ebrahimi Saadabadi
Ali Dabouei
Nasser M. Nasrabadi
DD
71
1
0
06 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
146
0
0
01 Dec 2024
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data
Brent A. Griffin
Jacob Marks
Jason J. Corso
VLM
74
2
0
22 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
AAML
35
0
0
16 Nov 2024
From Prototypes to General Distributions: An Efficient Curriculum for
  Masked Image Modeling
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
Jinhong Lin
Cheng-En Wu
Huanran Li
Jifan Zhang
Yu Hen Hu
Pedro Morgado
38
0
0
16 Nov 2024
ComFairGNN: Community Fair Graph Neural Network
ComFairGNN: Community Fair Graph Neural Network
Yonas Sium
Qi Li
31
0
0
07 Nov 2024
Diagnosing Medical Datasets with Training Dynamics
Diagnosing Medical Datasets with Training Dynamics
Laura Wenderoth
26
0
0
03 Nov 2024
Does the Definition of Difficulty Matter? Scoring Functions and their
  Role for Curriculum Learning
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning
Simon Rampp
M. Milling
Andreas Triantafyllopoulos
Björn Schuller
31
1
0
01 Nov 2024
Personalized Federated Learning with Mixture of Models for Adaptive
  Prediction and Model Fine-Tuning
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
P. M. Ghari
Yanning Shen
FedML
23
1
0
28 Oct 2024
Continual Learning on a Data Diet
Continual Learning on a Data Diet
Elif Ceren Gok Yildirim
Murat Onur Yildirim
Joaquin Vanschoren
CLL
23
0
0
23 Oct 2024
Exploring Forgetting in Large Language Model Pre-Training
Exploring Forgetting in Large Language Model Pre-Training
Chonghua Liao
Ruobing Xie
X. Sun
Haowen Sun
Zhanhui Kang
CLL
33
0
0
22 Oct 2024
Scalability of memorization-based machine unlearning
Scalability of memorization-based machine unlearning
Kairan Zhao
Peter Triantafillou
MU
39
2
0
21 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset
  Distillation?
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao
Yang He
DD
32
5
0
21 Oct 2024
Mislabeled examples detection viewed as probing machine learning models:
  concepts, survey and extensive benchmark
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
Thomas George
Pierre Nodet
A. Bondu
Vincent Lemaire
VLM
32
0
0
21 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via
  Prototypical Graph Pruning
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
Guibin Zhang
Haonan Dong
Yuchen Zhang
Zhixun Li
Dingshuo Chen
Kai Wang
Tianlong Chen
Yuxuan Liang
Dawei Cheng
Kun Wang
32
3
0
17 Oct 2024
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