ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.05394
  4. Cited By
A Closer Look at Memorization in Deep Networks

A Closer Look at Memorization in Deep Networks

16 June 2017
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
Maxinder S. Kanwal
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
    TDI
ArXivPDFHTML

Papers citing "A Closer Look at Memorization in Deep Networks"

50 / 389 papers shown
Title
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya Zhang
Ivor W. Tsang
NoLa
BDL
33
8
0
19 Feb 2023
Unsupervised classification to improve the quality of a bird song
  recording dataset
Unsupervised classification to improve the quality of a bird song recording dataset
Félix Michaud
J. Sueur
Maxime LE Cesne
S. Haupert
27
28
0
15 Feb 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt
  Representation Drift in Continual Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
KELM
CLL
38
26
0
14 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier
Learning from Noisy Labels with Decoupled Meta Label Purifier
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Yabiao Wang
Chengjie Wang
C. Zhao
NoLa
49
27
0
14 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
35
9
0
10 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and
  Dataset Distillation
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Noel Loo
Ramin Hasani
Mathias Lechner
Alexander Amini
Daniela Rus
DD
42
5
0
02 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles Ling
A. McLeod
Boyu Wang
25
39
0
31 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
29
4
0
27 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim
Jaesung Hwang
Jongjin Lee
Kunwoong Kim
Yongdai Kim
OODD
28
1
0
11 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
Yikai Wang
Yanwei Fu
Xinwei Sun
NoLa
55
8
0
02 Jan 2023
Effects of Data Geometry in Early Deep Learning
Effects of Data Geometry in Early Deep Learning
Saket Tiwari
George Konidaris
82
7
0
29 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond
  Manually Designed Features
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features
Qingrui Jia
Xuhong Li
Lei Yu
Jiang Bian
Penghao Zhao
Shupeng Li
Haoyi Xiong
Dejing Dou
NoLa
35
5
0
19 Dec 2022
Leveraging Unlabeled Data to Track Memorization
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLa
TDI
34
4
0
08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
Jihye Kim
A. Baratin
Yan Zhang
Simon Lacoste-Julien
NoLa
18
7
0
03 Dec 2022
Model and Data Agreement for Learning with Noisy Labels
Model and Data Agreement for Learning with Noisy Labels
Yuhang Zhang
Weihong Deng
Xingchen Cui
Yunfeng Yin
Hongzhi Shi
Dongchao Wen
NoLa
34
5
0
02 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in
  Residual Convolutional Networks
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
Michal Jamro.z
Marcin Kurdziel
30
0
0
01 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
Yulei Qin
Xingyu Chen
Chao Chen
Yunhang Shen
Bohan Ren
Yun Gu
Jie-jin Yang
Chunhua Shen
44
4
0
01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
50
10
0
01 Dec 2022
Neural Font Rendering
Neural Font Rendering
Daniel Anderson
Ariel Shamir
Ohad Fried
GAN
AI4CE
17
1
0
27 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction
Tianyi Wang
Jianwei Wang
Ziqian Zeng
32
2
0
25 Nov 2022
Simplicity Bias in Transformers and their Ability to Learn Sparse
  Boolean Functions
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
S. Bhattamishra
Arkil Patel
Varun Kanade
Phil Blunsom
22
45
0
22 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
26
3
0
20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced
  Loss
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang
Zhang-Hao Tian
Wujun Zhou
Wei Wang
NoLa
24
2
0
20 Nov 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
30
10
0
19 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim M. Alabdulmohsin
78
2
0
18 Nov 2022
Why Deep Learning Generalizes
Why Deep Learning Generalizes
Benjamin L. Badger
TDI
AI4CE
20
3
0
17 Nov 2022
What Images are More Memorable to Machines?
What Images are More Memorable to Machines?
Junlin Han
Huangying Zhan
Jie Hong
Pengfei Fang
Hongdong Li
L. Petersson
Ian Reid
38
3
0
14 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
Haochao Ying
Renjun Hu
Jingbo Zhou
Jintai Chen
Danny Chen
Jian Wu
NoLa
33
34
0
12 Nov 2022
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
31
11
0
09 Nov 2022
Probing Statistical Representations For End-To-End ASR
Probing Statistical Representations For End-To-End ASR
A. Ollerenshaw
Md. Asif Jalal
Thomas Hain
27
2
0
03 Nov 2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy
  Labels
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Qiuchen Zhang
Jing Ma
Jian Lou
Li Xiong
Xiaoqian Jiang
NoLa
21
0
0
03 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features
Fair Visual Recognition via Intervention with Proxy Features
Yi Zhang
Jitao Sang
Junyan Wang
23
1
0
02 Nov 2022
Bridging the visual gap in VLN via semantically richer instructions
Bridging the visual gap in VLN via semantically richer instructions
Joaquín Ossandón
Benjamín Earle
Alvaro Soto
37
0
0
27 Oct 2022
The Curious Case of Benign Memorization
The Curious Case of Benign Memorization
Sotiris Anagnostidis
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
AAML
49
8
0
25 Oct 2022
Finding Memo: Extractive Memorization in Constrained Sequence Generation
  Tasks
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
Vikas Raunak
Arul Menezes
38
13
0
24 Oct 2022
Causal Structural Hypothesis Testing and Data Generation Models
Causal Structural Hypothesis Testing and Data Generation Models
Jeffrey Q. Jiang
Omead Brandon Pooladzandi
Sunay Bhat
Gregory Pottie
CML
40
1
0
20 Oct 2022
Categorizing Semantic Representations for Neural Machine Translation
Categorizing Semantic Representations for Neural Machine Translation
Yongjing Yin
Yafu Li
Fandong Meng
Jie Zhou
Yue Zhang
24
6
0
13 Oct 2022
Decoupled Context Processing for Context Augmented Language Modeling
Decoupled Context Processing for Context Augmented Language Modeling
Zonglin Li
Ruiqi Guo
Surinder Kumar
RALM
KELM
21
23
0
11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao Wang
C. Yuan
24
3
0
11 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in
  Neural Networks
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli
Anshul Nasery
R. Venkatesh Babu
Praneeth Netrapalli
Prateek Jain
AAML
38
3
0
04 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of
  Noisy Labels
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels
Daniel Shwartz
Uri Stern
D. Weinshall
NoLa
36
2
0
02 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari Taghanaki
Aliasghar Khani
Fereshte Khani
A. Gholami
Linh-Tam Tran
Ali Mahdavi-Amiri
Ghassan Hamarneh
AAML
43
45
0
30 Sep 2022
Higher-order Neural Additive Models: An Interpretable Machine Learning
  Model with Feature Interactions
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Minkyu Kim
Hyunjin Choi
Jinho Kim
FAtt
38
8
0
30 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training
  Dynamics
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
47
27
0
20 Sep 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule
  based on example difficulty
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
Thomas George
Guillaume Lajoie
A. Baratin
31
5
0
19 Sep 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities
  in Multimodal Demonstrations
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Yilun Hao
Ruinan Wang
Zhangjie Cao
Zihan Wang
Yuchen Cui
Dorsa Sadigh
31
2
0
16 Sep 2022
Robust Product Classification with Instance-Dependent Noise
Robust Product Classification with Instance-Dependent Noise
Huy-Thanh Nguyen
Devashish Khatwani
NoLa
34
8
0
14 Sep 2022
Data Provenance via Differential Auditing
Data Provenance via Differential Auditing
Xin Mu
Ming Pang
Feida Zhu
16
1
0
04 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
39
27
0
02 Sep 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of
  Normal Chest X-Rays
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays
T. Dyer
Jordan Smith
G. Dissez
N. Tay
Q. Malik
T. N. Morgan
P. Williams
Liliana Garcia-Mondragon
George Pearse
S. Rasalingham
OOD
19
2
0
31 Aug 2022
Previous
12345678
Next