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An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 496 papers shown
Title
On The Impact of Machine Learning Randomness on Group Fairness
On The Impact of Machine Learning Randomness on Group Fairness
Prakhar Ganesh
Hong Chang
Martin Strobel
Reza Shokri
FaML
65
31
0
09 Jul 2023
Tools for Verifying Neural Models' Training Data
Tools for Verifying Neural Models' Training Data
Dami Choi
Yonadav Shavit
David Duvenaud
MIALM
76
17
0
02 Jul 2023
Learning Unseen Modality Interaction
Learning Unseen Modality Interaction
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
133
6
0
22 Jun 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy
  Labels
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyan Hu
Shipeng Yan
Zhitong Gao
Xuming He
NoLa
82
5
0
20 Jun 2023
Large-scale Dataset Pruning with Dynamic Uncertainty
Large-scale Dataset Pruning with Dynamic Uncertainty
Muyang He
Shuo Yang
Tiejun Huang
Bo Zhao
77
32
0
08 Jun 2023
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip
  Arthroplasty
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty
Kaiwen Zhang
Ziyang Gan
Dong Liu
X. Shang
41
0
0
07 Jun 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification
  Tasks
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Jean-Michel Attendu
Jean-Philippe Corbeil
78
16
0
05 Jun 2023
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Jintao Rong
Hao Chen
Tianrun Chen
Linlin Ou
Xinyi Yu
Yifan Liu
VLMVPVLM
71
6
0
04 Jun 2023
Calibrating Multimodal Learning
Calibrating Multimodal Learning
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
100
21
0
02 Jun 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Yu Yang
Hao Kang
Baharan Mirzasoleiman
86
35
0
02 Jun 2023
Too Large; Data Reduction for Vision-Language Pre-Training
Too Large; Data Reduction for Vision-Language Pre-Training
Alex Jinpeng Wang
Kevin Qinghong Lin
David Junhao Zhang
Stan Weixian Lei
Mike Zheng Shou
VLM
67
24
0
31 May 2023
infoVerse: A Universal Framework for Dataset Characterization with
  Multidimensional Meta-information
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
Jaehyung Kim
Yekyung Kim
Karin de Langis
Jinwoo Shin
Dongyeop Kang
52
1
0
30 May 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Tao Feng
Jie Zhang
Peizheng Wang
Zhijie Wang
Shengyuan Pang
DD
134
0
0
29 May 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic
R. Waleffe
Vasilis Mageirakos
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
Nezihe Merve Gürel
Theodoros Rekatsinas
DD
104
14
0
28 May 2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via
  Critical Samples Selection
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Yue Xu
Yong-Lu Li
Kaitong Cui
Ziyu Wang
Cewu Lu
Yu-Wing Tai
Chi-Keung Tang
DD
112
8
0
28 May 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa
Issei Sato
125
7
0
26 May 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to
  Rank
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
Dheeraj Mekala
Adithya Samavedhi
Chengyu Dong
Jingbo Shang
OODD
52
2
0
24 May 2023
Parameter-Efficient Language Model Tuning with Active Learning in
  Low-Resource Settings
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić
Jan vSnajder
84
4
0
23 May 2023
Mitigating Label Noise through Data Ambiguation
Mitigating Label Noise through Data Ambiguation
Julian Lienen
Eyke Hüllermeier
NoLa
64
7
0
23 May 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset
  Selection for Language Model
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Xiao Wang
Wei Zhou
Qi Zhang
Jie Zhou
Songyang Gao
Junzhe Wang
Menghan Zhang
Xiang Gao
Yunwen Chen
Tao Gui
129
10
0
22 May 2023
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual
  Machine Learning
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning
Sanyam Jain
CLL
61
1
0
16 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip Torr
V. Koltun
Ozan Sener
CLL
168
32
0
16 May 2023
PreCog: Exploring the Relation between Memorization and Performance in
  Pre-trained Language Models
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
Leonardo Ranaldi
Elena Sofia Ruzzetti
Fabio Massimo Zanzotto
69
6
0
08 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction
Maintaining Stability and Plasticity for Predictive Churn Reduction
George Adam
B. Haibe-Kains
Anna Goldenberg
52
1
0
06 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
104
452
0
27 Apr 2023
Learning Sample Difficulty from Pre-trained Models for Reliable
  Prediction
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Peng Cui
Dan Zhang
Zhijie Deng
Yinpeng Dong
Junyi Zhu
46
12
0
20 Apr 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
53
3
0
09 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning
Fairness-Aware Data Valuation for Supervised Learning
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
TDI
71
4
0
29 Mar 2023
Lazy learning: a biologically-inspired plasticity rule for fast and
  energy efficient synaptic plasticity
Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity
Aaron Pache
M. V. Rossum
85
2
0
26 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level Applications
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
89
11
0
23 Mar 2023
Bayesian Pseudo-Coresets via Contrastive Divergence
Bayesian Pseudo-Coresets via Contrastive Divergence
Piyush Tiwary
Kumar Shubham
V. Kashyap
Prathosh A.P.
84
4
0
20 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
78
63
0
20 Mar 2023
SemDeDup: Data-efficient learning at web-scale through semantic
  deduplication
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas
Kushal Tirumala
Daniel Simig
Surya Ganguli
Ari S. Morcos
77
182
0
16 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
73
2
0
15 Mar 2023
Towards High-Quality and Efficient Video Super-Resolution via
  Spatial-Temporal Data Overfitting
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
Gen Li
Jie Ji
Minghai Qin
Wei Niu
Bin Ren
Fatemeh Afghah
Lin Guo
Xiaolong Ma
SupR
121
11
0
15 Mar 2023
Eliciting Latent Predictions from Transformers with the Tuned Lens
Eliciting Latent Predictions from Transformers with the Tuned Lens
Nora Belrose
Zach Furman
Logan Smith
Danny Halawi
Igor V. Ostrovsky
Lev McKinney
Stella Biderman
Jacob Steinhardt
109
231
0
14 Mar 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Ziheng Qin
Kaidi Wang
Zangwei Zheng
Jianyang Gu
Xiang Peng
...
Daquan Zhou
Lei Shang
Baigui Sun
Xuansong Xie
Yang You
187
53
0
08 Mar 2023
Loss-Curvature Matching for Dataset Selection and Condensation
Loss-Curvature Matching for Dataset Selection and Condensation
Seung-Jae Shin
Heesun Bae
DongHyeok Shin
Weonyoung Joo
Il-Chul Moon
DD
94
27
0
08 Mar 2023
A Challenging Benchmark for Low-Resource Learning
A Challenging Benchmark for Low-Resource Learning
Yudong Wang
Chang Ma
Qingxiu Dong
Lingpeng Kong
Jingjing Xu
70
4
0
07 Mar 2023
When does Privileged Information Explain Away Label Noise?
When does Privileged Information Explain Away Label Noise?
Guillermo Ortiz-Jiménez
Mark Collier
Anant Nawalgaria
Alexander DÁmour
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
NoLa
204
7
0
03 Mar 2023
DREAM: Efficient Dataset Distillation by Representative Matching
DREAM: Efficient Dataset Distillation by Representative Matching
Yanqing Liu
Jianyang Gu
Kai Wang
Zheng Hua Zhu
Wei Jiang
Yang You
DD
125
80
0
28 Feb 2023
Make Every Example Count: On the Stability and Utility of Self-Influence
  for Learning from Noisy NLP Datasets
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Irina Bejan
Artem Sokolov
Katja Filippova
TDI
130
11
0
27 Feb 2023
Finding Support Examples for In-Context Learning
Finding Support Examples for In-Context Learning
Xiaonan Li
Xipeng Qiu
122
101
0
27 Feb 2023
Example Forgetting: A Novel Approach to Explain and Interpret Deep
  Neural Networks in Seismic Interpretation
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
Ryan Benkert
Oluwaseun Joseph Aribido
Ghassan AlRegib
52
8
0
24 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
112
23
0
19 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
77
10
0
18 Feb 2023
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial
  Examples for Supervised Learning Contribute the Least
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
S. Joshi
Baharan Mirzasoleiman
SSL
94
22
0
18 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
AAML
83
9
0
16 Feb 2023
Data pruning and neural scaling laws: fundamental limitations of
  score-based algorithms
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms
Fadhel Ayed
Soufiane Hayou
77
10
0
14 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based
  on Training Dynamics
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Minkyung Kim
Junsik Kim
Jongmin Yu
Jun Kyun Choi
75
2
0
13 Feb 2023
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