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1706.05394
Cited By
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
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Papers citing
"A Closer Look at Memorization in Deep Networks"
50 / 389 papers shown
Title
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Data Isotopes for Data Provenance in DNNs
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Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling
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Jacek Tabor
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On the Activation Function Dependence of the Spectral Bias of Neural Networks
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Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data
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Learning from Data with Noisy Labels Using Temporal Self-Ensemble
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NoLa
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21 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
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Chengrui Wang
Xu Ling
Weihong Deng
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21 Jul 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
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Efficient Augmentation for Imbalanced Deep Learning
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C. Bellinger
Bartosz Krawczyk
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Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
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Bing Bai
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Generalization-Memorization Machines
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Y. Shao
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08 Jul 2022
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Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
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Chen Gong
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Gray Learning from Non-IID Data with Out-of-distribution Samples
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LongBing Cao
Changbao Wang
OOD
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Sparse Double Descent: Where Network Pruning Aggravates Overfitting
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Zeke Xie
Quanzhi Zhu
Zengchang Qin
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Invariant Structure Learning for Better Generalization and Causal Explainability
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Jinsung Yoon
Ao Xu
Laurent Itti
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Large Loss Matters in Weakly Supervised Multi-Label Classification
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Jungwook Lee
NoLa
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Yair Weiss
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Ying-Long Bai
Erkun Yang
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Dadong Wang
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SSL
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Fatih Yilmaz
Reinhard Heckel
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Lihua Xie
Yang You
32
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Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher
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Weihong Deng
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A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
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26 May 2022
VeriFi: Towards Verifiable Federated Unlearning
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Xingjun Ma
Jingyi Wang
Youcheng Sun
Bo Li
S. Ji
Peng Cheng
Jiming Chen
MU
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25 May 2022
Recovering Private Text in Federated Learning of Language Models
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Yangsibo Huang
Zexuan Zhong
Tianyu Gao
Kai Li
Danqi Chen
FedML
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Exploring the Learning Difficulty of Data Theory and Measure
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
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Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen
T. Tran
Ky Le
Sunil R. Gupta
Santu Rana
Dang Nguyen
Trong Nguyen
S. Ryan
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Synthetic Data -- what, why and how?
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Sangmook Kim
Wonyoung Shin
Soohyuk Jang
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Se-Young Yun
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03 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu
Wenbo He
NoLa
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Unsupervised Learning of Unbiased Visual Representations
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Few-shot Learning with Noisy Labels
Kevin J Liang
Samrudhdhi B. Rangrej
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Agreement or Disagreement in Noise-tolerant Mutual Learning?
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NoLa
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An Empirical Study of Memorization in NLP
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TDI
17
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Reducing Flipping Errors in Deep Neural Networks
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Yun Xiao
Bo Long
Zhongfei Zhang
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Do Language Models Plagiarize?
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36
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Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
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34
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Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
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Serena Yeung
James Zou
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Relative distance matters for one-shot landmark detection
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Jianji Wang
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Quan Quan
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15
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The Spectral Bias of Polynomial Neural Networks
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L. Dadi
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Synergistic Network Learning and Label Correction for Noise-robust Image Classification
Chen Gong
K. Bin
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NoLa
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Dropout can Simulate Exponential Number of Models for Sample Selection Techniques
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31
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Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
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Benchmark Assessment for DeepSpeed Optimization Library
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