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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
Do LLMs dream of elephants (when told not to)? Latent concept
  association and associative memory in transformers
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CLL
KELM
37
6
0
26 Jun 2024
Early learning of the optimal constant solution in neural networks and
  humans
Early learning of the optimal constant solution in neural networks and humans
Jirko Rubruck
Jan P. Bauer
Andrew M. Saxe
Christopher Summerfield
33
1
0
25 Jun 2024
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth
Alvin Deng
Kyle O'Brien
Jyothir S V
Mohammad Aflah Khan
...
Jacob Ray Fuehne
Stella Biderman
Tracy Ke
Katherine Lee
Naomi Saphra
63
12
0
25 Jun 2024
Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG
Evaluating nnn-Gram Novelty of Language Models Using Rusty-DAWG
William Merrill
Noah A. Smith
Yanai Elazar
ELM
TDI
50
9
0
18 Jun 2024
How Do Large Language Models Acquire Factual Knowledge During
  Pretraining?
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Hoyeon Chang
Jinho Park
Seonghyeon Ye
Sohee Yang
Youngkyung Seo
Du-Seong Chang
Minjoon Seo
KELM
37
33
0
17 Jun 2024
Potion: Towards Poison Unlearning
Potion: Towards Poison Unlearning
Stefan Schoepf
Jack Foster
Alexandra Brintrup
AAML
MU
55
7
0
13 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS
  unlearning competition
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
Eleni Triantafillou
Peter Kairouz
Fabian Pedregosa
Jamie Hayes
M. Kurmanji
...
Lisheng Sun-Hosoya
Sergio Escalera
Gintare Karolina Dziugaite
Peter Triantafillou
Isabelle M Guyon
MU
56
14
0
13 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
37
6
0
10 Jun 2024
Causal Estimation of Memorisation Profiles
Causal Estimation of Memorisation Profiles
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
51
5
0
06 Jun 2024
Memorization in deep learning: A survey
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
47
6
0
06 Jun 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
49
1
0
05 Jun 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Ng
Roger C. Grosse
Marzyeh Ghassemi
40
0
0
04 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in
  Diffusion Models
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
Adam Dziedzic
Franziska Boenisch
34
11
0
04 Jun 2024
What makes unlearning hard and what to do about it
What makes unlearning hard and what to do about it
Kairan Zhao
M. Kurmanji
George-Octavian Barbulescu
Eleni Triantafillou
Peter Triantafillou
MU
60
17
0
03 Jun 2024
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
39
5
0
28 May 2024
Privacy-Aware Visual Language Models
Privacy-Aware Visual Language Models
Laurens Samson
Nimrod Barazani
S. Ghebreab
Yukiyasu Asano
PILM
VLM
50
1
0
27 May 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
48
4
0
27 May 2024
When does compositional structure yield compositional generalization? A kernel theory
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
73
5
0
26 May 2024
Data Reconstruction: When You See It and When You Don't
Data Reconstruction: When You See It and When You Don't
Edith Cohen
Haim Kaplan
Yishay Mansour
Shay Moran
Kobbi Nissim
Uri Stemmer
Eliad Tsfadia
AAML
42
2
0
24 May 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
A Multi-Perspective Analysis of Memorization in Large Language Models
Bowen Chen
Namgi Han
Yusuke Miyao
46
1
0
19 May 2024
On the Foundations of Earth and Climate Foundation Models
On the Foundations of Earth and Climate Foundation Models
Xiao Xiang Zhu
Zhitong Xiong
Yi Wang
Adam J. Stewart
Konrad Heidler
Yuanyuan Wang
Zhenghang Yuan
Thomas Dujardin
Qingsong Xu
Yilei Shi
AI4Cl
AI4CE
34
21
0
07 May 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning
  in Large Language Models
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Barbulescu
Peter Triantafillou
MU
38
16
0
06 May 2024
Exploring prompts to elicit memorization in masked language model-based
  named entity recognition
Exploring prompts to elicit memorization in masked language model-based named entity recognition
Yuxi Xia
Anastasiia Sedova
Pedro Henrique Luz de Araujo
Vasiliki Kougia
Lisa Nussbaumer
Benjamin Roth
28
1
0
05 May 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods
  for Data in Generative AI
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Tanja Sarcevic
Alicja Karlowicz
Rudolf Mayer
Ricardo A. Baeza-Yates
Andreas Rauber
49
6
0
22 Apr 2024
When Do We Not Need Larger Vision Models?
When Do We Not Need Larger Vision Models?
Baifeng Shi
Ziyang Wu
Maolin Mao
Xin Wang
Trevor Darrell
VLM
LRM
54
41
0
19 Mar 2024
RAFT: Adapting Language Model to Domain Specific RAG
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang
Shishir G. Patil
Naman Jain
Sheng Shen
Matei A. Zaharia
Ion Stoica
Joseph E. Gonzalez
RALM
37
179
0
15 Mar 2024
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent
  on Language Models
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner
Robin Yadav
Alan Milligan
Mark Schmidt
Alberto Bietti
39
25
0
29 Feb 2024
Unveiling Privacy, Memorization, and Input Curvature Links
Unveiling Privacy, Memorization, and Input Curvature Links
Deepak Ravikumar
Efstathia Soufleri
Abolfazl Hashemi
Kaushik Roy
54
5
0
28 Feb 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from
  Retrieval-Augmented Generation Systems
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
Zhenting Qi
Hanlin Zhang
Eric Xing
Sham Kakade
Hima Lakkaraju
SILM
44
18
0
27 Feb 2024
SpanSeq: Similarity-based sequence data splitting method for improved
  development and assessment of deep learning projects
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
A. F. Florensa
J. J. A. Armenteros
Henrik Nielsen
F. Aarestrup
P. Clausen
27
0
0
22 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
48
2
0
20 Feb 2024
DE-COP: Detecting Copyrighted Content in Language Models Training Data
DE-COP: Detecting Copyrighted Content in Language Models Training Data
André V. Duarte
Xuandong Zhao
Arlindo L. Oliveira
Lei Li
34
33
0
15 Feb 2024
Copyright Traps for Large Language Models
Copyright Traps for Large Language Models
Matthieu Meeus
Igor Shilov
Manuel Faysse
Yves-Alexandre de Montjoye
36
18
0
14 Feb 2024
Information Complexity of Stochastic Convex Optimization: Applications
  to Generalization and Memorization
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias
Gintare Karolina Dziugaite
Mahdi Haghifam
Roi Livni
Daniel M. Roy
30
6
0
14 Feb 2024
Systematic Assessment of Tabular Data Synthesis Algorithms
Systematic Assessment of Tabular Data Synthesis Algorithms
Yuntao Du
Ninghui Li
35
4
0
09 Feb 2024
Parameter-tuning-free data entry error unlearning with adaptive
  selective synaptic dampening
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
Stefan Schoepf
Jack Foster
Alexandra Brintrup
MU
36
6
0
06 Feb 2024
On Catastrophic Inheritance of Large Foundation Models
On Catastrophic Inheritance of Large Foundation Models
Hao Chen
Bhiksha Raj
Xing Xie
Jindong Wang
AI4CE
56
12
0
02 Feb 2024
An Information Theoretic Approach to Machine Unlearning
An Information Theoretic Approach to Machine Unlearning
Jack Foster
Kyle Fogarty
Stefan Schoepf
Cengiz Öztireli
Alexandra Brintrup
MU
49
4
0
02 Feb 2024
No Free Prune: Information-Theoretic Barriers to Pruning at
  Initialization
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar
Kevin Luo
Mark Sellke
35
3
0
02 Feb 2024
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force
  Fields
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields
Joshua A. Vita
Amit Samanta
Fei Zhou
Vincenzo Lordi
25
2
0
01 Feb 2024
Do LLMs Dream of Ontologies?
Do LLMs Dream of Ontologies?
Marco Bombieri
Paolo Fiorini
Simone Paolo Ponzetto
M. Rospocher
CLL
32
2
0
26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
37
3
0
25 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream
  Generalization
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang
Muhammad Ahmad Kaleem
Adam Dziedzic
Michael Backes
Nicolas Papernot
Franziska Boenisch
SSL
25
9
0
19 Jan 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in
  Influence Estimation
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation
Tong Xie
Haoyu Li
Andrew Bai
Cho-Jui Hsieh
TDI
36
2
0
17 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction
  During Learning
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
Shangmin Guo
Yi Ren
Stefano V.Albrecht
Kenny Smith
34
3
0
16 Jan 2024
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and
  Cybersecurity
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli
F. Casolari
Philipp Hacker
Giorgio Spedicato
Luciano Floridi
AILaw
SILM
50
44
0
14 Jan 2024
Investigating Data Contamination for Pre-training Language Models
Investigating Data Contamination for Pre-training Language Models
Minhao Jiang
Ken Ziyu Liu
Ming Zhong
Rylan Schaeffer
Siru Ouyang
Jiawei Han
Sanmi Koyejo
33
64
0
11 Jan 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLM
CLIP
34
22
0
09 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining
  Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Haoyi Xiong
Xuhong Li
Xiaofei Zhang
Jiamin Chen
Xinhao Sun
Yuchen Li
Zeyi Sun
Jundong Li
XAI
40
8
0
09 Jan 2024
Hallucinations in Neural Automatic Speech Recognition: Identifying
  Errors and Hallucinatory Models
Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models
Rita Frieske
Bertram E. Shi
34
7
0
03 Jan 2024
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