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Does Learning Require Memorization? A Short Tale about a Long Tail

Does Learning Require Memorization? A Short Tale about a Long Tail

12 June 2019
Vitaly Feldman
    TDI
ArXivPDFHTML

Papers citing "Does Learning Require Memorization? A Short Tale about a Long Tail"

50 / 336 papers shown
Title
Traces of Memorisation in Large Language Models for Code
Traces of Memorisation in Large Language Models for Code
Ali Al-Kaswan
M. Izadi
A. van Deursen
ELM
39
14
0
18 Dec 2023
A Comprehensive Survey of Attack Techniques, Implementation, and
  Mitigation Strategies in Large Language Models
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models
Aysan Esmradi
Daniel Wankit Yip
C. Chan
AAML
42
11
0
18 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates
  Large-Scale Visual Understanding
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
Talfan Evans
Shreya Pathak
Hamza Merzic
Jonathan Schwarz
Ryutaro Tanno
Olivier J. Hénaff
18
16
0
08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
47
2
0
07 Dec 2023
Understanding (Un)Intended Memorization in Text-to-Image Generative
  Models
Understanding (Un)Intended Memorization in Text-to-Image Generative Models
Ali Naseh
Jaechul Roh
Amir Houmansadr
DiffM
33
6
0
06 Dec 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for
  Unsupervised Anomaly Detection
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
Felix Meissen
Johannes Getzner
Alexander Ziller
Georgios Kaissis
Daniel Rueckert
OODD
AI4TS
21
0
0
06 Dec 2023
Calibrated Language Models Must Hallucinate
Calibrated Language Models Must Hallucinate
Adam Tauman Kalai
Santosh Vempala
HILM
30
76
0
24 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent
  Using Selective Update and Release
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Jie Fu
Qingqing Ye
Haibo Hu
Zhili Chen
Lulu Wang
Kuncan Wang
Xun Ran
21
14
0
23 Nov 2023
Do Smaller Language Models Answer Contextualised Questions Through
  Memorisation Or Generalisation?
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?
Tim Hartill
Joshua Bensemann
Michael Witbrock
Patricia Riddle
KELM
30
0
0
21 Nov 2023
On Retrieval Augmentation and the Limitations of Language Model Training
On Retrieval Augmentation and the Limitations of Language Model Training
Ting-Rui Chiang
Xinyan Velocity Yu
Joshua Robinson
Ollie Liu
Isabelle G. Lee
Dani Yogatama
RALM
28
0
0
16 Nov 2023
Privacy Threats in Stable Diffusion Models
Privacy Threats in Stable Diffusion Models
Thomas Cilloni
Charles Fleming
Charles Walter
33
3
0
15 Nov 2023
On Using Distribution-Based Compositionality Assessment to Evaluate
  Compositional Generalisation in Machine Translation
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation
Anssi Moisio
Mathias Creutz
M. Kurimo
CoGe
19
1
0
14 Nov 2023
Practical Membership Inference Attacks against Fine-tuned Large Language
  Models via Self-prompt Calibration
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
Wenjie Fu
Huandong Wang
Chen Gao
Guanghua Liu
Yong Li
Tao Jiang
MIALM
32
43
0
10 Nov 2023
Memorisation Cartography: Mapping out the Memorisation-Generalisation
  Continuum in Neural Machine Translation
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation
Verna Dankers
Ivan Titov
Dieuwke Hupkes
35
5
0
09 Nov 2023
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
25
1
0
06 Nov 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for
  Single-cell Clustering
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
Huifa Li
Jie Fu
Zhili Chen
Xiaomin Yang
Haitao Liu
Xinpeng Ling
27
1
0
06 Nov 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable
  Machine Unlearning
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
Zheyuan Liu
Guangyao Dou
Yijun Tian
Chunhui Zhang
Eli Chien
Ziwei Zhu
MU
26
16
0
28 Oct 2023
In-Context Learning Dynamics with Random Binary Sequences
In-Context Learning Dynamics with Random Binary Sequences
Eric J. Bigelow
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
T. Ullman
34
4
0
26 Oct 2023
Detecting Pretraining Data from Large Language Models
Detecting Pretraining Data from Large Language Models
Weijia Shi
Anirudh Ajith
Mengzhou Xia
Yangsibo Huang
Daogao Liu
Terra Blevins
Danqi Chen
Luke Zettlemoyer
MIALM
33
164
0
25 Oct 2023
SoK: Memorization in General-Purpose Large Language Models
SoK: Memorization in General-Purpose Large Language Models
Valentin Hartmann
Anshuman Suri
Vincent Bindschaedler
David E. Evans
Shruti Tople
Robert West
KELM
LLMAG
24
20
0
24 Oct 2023
Did the Neurons Read your Book? Document-level Membership Inference for
  Large Language Models
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
Matthieu Meeus
Shubham Jain
Marek Rei
Yves-Alexandre de Montjoye
MIALM
31
30
0
23 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Eric Aubinais
Elisabeth Gassiat
Pablo Piantanida
MIACV
50
2
0
20 Oct 2023
Privacy Preserving Large Language Models: ChatGPT Case Study Based
  Vision and Framework
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Imdad Ullah
Najm Hassan
S. Gill
Basem Suleiman
T. Ahanger
Zawar Shah
Junaid Qadir
S. Kanhere
40
16
0
19 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning
A Comprehensive Study of Privacy Risks in Curriculum Learning
Joann Qiongna Chen
Xinlei He
Zheng Li
Yang Zhang
Zhou Li
54
2
0
16 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
35
7
0
13 Oct 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models
Impact of Co-occurrence on Factual Knowledge of Large Language Models
Cheongwoong Kang
Jaesik Choi
KELM
35
17
0
12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via
  Memorization
Why Train More? Effective and Efficient Membership Inference via Memorization
Jihye Choi
Shruti Tople
Varun Chandrasekaran
Somesh Jha
TDI
FedML
26
2
0
12 Oct 2023
What do larger image classifiers memorise?
What do larger image classifiers memorise?
Michal Lukasik
Vaishnavh Nagarajan
A. S. Rawat
A. Menon
Sanjiv Kumar
38
5
0
09 Oct 2023
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of
  Model Generalization
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
Adel Javanmard
Vahab Mirrokni
15
2
0
06 Oct 2023
Scaling Laws for Associative Memories
Scaling Laws for Associative Memories
Vivien A. Cabannes
Elvis Dohmatob
A. Bietti
24
19
0
04 Oct 2023
On Memorization and Privacy Risks of Sharpness Aware Minimization
On Memorization and Privacy Risks of Sharpness Aware Minimization
Young In Kim
Pratiksha Agrawal
J. Royset
Rajiv Khanna
FedML
30
3
0
30 Sep 2023
Leave-one-out Distinguishability in Machine Learning
Leave-one-out Distinguishability in Machine Learning
Jiayuan Ye
Anastasia Borovykh
Soufiane Hayou
Reza Shokri
39
9
0
29 Sep 2023
On the Computational Entanglement of Distant Features in Adversarial
  Machine Learning
On the Computational Entanglement of Distant Features in Adversarial Machine Learning
Yen-Lung Lai
Xingbo Dong
Zhe Jin
AAML
13
0
0
27 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object
  Detection
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz
Selim Kuzucu
Tom Joy
P. Dokania
MoE
24
5
0
26 Sep 2023
Cluster-based pruning techniques for audio data
Cluster-based pruning techniques for audio data
Boris Bergsma
Marta Brzezinska
O. Yazyev
Milos Cernak
24
2
0
21 Sep 2023
Least Squares Maximum and Weighted Generalization-Memorization Machines
Least Squares Maximum and Weighted Generalization-Memorization Machines
Shuai Wang
Zhen Wang
Yuanfu Shao
26
1
0
31 Aug 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
43
11
0
26 Aug 2023
A Probabilistic Fluctuation based Membership Inference Attack for
  Diffusion Models
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
Wenjie Fu
Huandong Wang
Chen Gao
Guanghua Liu
Yong Li
Tao Jiang
DiffM
32
11
0
23 Aug 2023
Unlocking Accuracy and Fairness in Differentially Private Image
  Classification
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Leonard Berrada
Soham De
J. Shen
Jamie Hayes
Robert Stanforth
David Stutz
Pushmeet Kohli
Samuel L. Smith
Borja Balle
27
13
0
21 Aug 2023
Fast Machine Unlearning Without Retraining Through Selective Synaptic
  Dampening
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
Jack Foster
Stefan Schoepf
Alexandra Brintrup
MU
27
85
0
15 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
38
13
0
27 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU
  Regulation into AI Development
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic
Niclas Renner
Vincent Philipp Goebels
Philipp Wagner
Benjamin Frész
M. Biller
Mara Klaeb
Janika Kutz
Jens Neuhuettler
Marco F. Huber
24
9
0
21 Jul 2023
Long-Tail Theory under Gaussian Mixtures
Long-Tail Theory under Gaussian Mixtures
Arman Bolatov
Maxat Tezekbayev
Igor Melnykov
Artur Pak
Vassilina Nikoulina
Z. Assylbekov
17
1
0
20 Jul 2023
Rethinking Backdoor Attacks
Rethinking Backdoor Attacks
Alaa Khaddaj
Guillaume Leclerc
Aleksandar Makelov
Kristian Georgiev
Hadi Salman
Andrew Ilyas
A. Madry
SILM
34
28
0
19 Jul 2023
Can Neural Network Memorization Be Localized?
Can Neural Network Memorization Be Localized?
Pratyush Maini
Michael C. Mozer
Hanie Sedghi
Zachary Chase Lipton
J. Zico Kolter
Chiyuan Zhang
TDI
49
46
0
18 Jul 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population
  Graphs: Insights from Differential Privacy and Graph Structure
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara T. Mueller
Maulik Chevli
Ameya Daigavane
Daniel Rueckert
Georgios Kaissis
33
0
0
13 Jul 2023
Memorization Through the Lens of Curvature of Loss Function Around
  Samples
Memorization Through the Lens of Curvature of Loss Function Around Samples
Isha Garg
Deepak Ravikumar
Kaushik Roy
TDI
16
10
0
11 Jul 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft
  Prompting and Calibrated Confidence Estimation
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
Zhexin Zhang
Jiaxin Wen
Minlie Huang
38
30
0
10 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature
  Learning
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini
Sachin Goyal
Zachary Chase Lipton
J. Zico Kolter
Aditi Raghunathan
VLM
45
33
0
06 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General
  Losses
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
G. Buzaglo
Niv Haim
Gilad Yehudai
Gal Vardi
Yakir Oz
Yaniv Nikankin
Michal Irani
34
10
0
04 Jul 2023
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