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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
    VLM
ArXivPDFHTML

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

50 / 528 papers shown
Title
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
Chen Gong
Rui Xing
Zhenzhe Zheng
Fan Wu
15
0
0
22 May 2025
GeoMM: On Geodesic Perspective for Multi-modal Learning
GeoMM: On Geodesic Perspective for Multi-modal Learning
Shibin Mei
Hang Wang
Bingbing Ni
31
0
0
16 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Shunsuke Yoneda
Valdemar Švábenský
Gen Li
Daisuke Deguchi
Atsushi Shimada
34
0
0
14 May 2025
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
George Andriopoulos
Soyuj Jung Basnet
Juan Guevara
Li Guo
Keith Ross
45
0
0
14 May 2025
Adaptive Latent-Space Constraints in Personalized FL
Adaptive Latent-Space Constraints in Personalized FL
Sana Ayromlou
D. B. Emerson
FedML
58
0
0
12 May 2025
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models
Wufei Ma
Luoxin Ye
Nessa McWeeney
Celso M de Melo
A. Yuille
Jieneng Chen
LRM
65
1
0
01 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
86
0
0
29 Apr 2025
Imbalanced malware classification: an approach based on dynamic classifier selection
Imbalanced malware classification: an approach based on dynamic classifier selection
J. V. S. Souza
C. B. Vieira
G. D. C. Cunha
R. M. O. Cruz
65
0
0
30 Mar 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
79
0
0
27 Mar 2025
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models
Julian Spravil
Sebastian Houben
Sven Behnke
VLM
105
0
0
12 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
212
2
0
10 Mar 2025
Is Pre-training Applicable to the Decoder for Dense Prediction?
Is Pre-training Applicable to the Decoder for Dense Prediction?
Chao Ning
Wanshui Gan
Weihao Xuan
Naoto Yokoya
57
0
0
05 Mar 2025
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
91
4
0
10 Feb 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
80
0
0
09 Feb 2025
Democratic Training Against Universal Adversarial Perturbations
Bing-Jie Sun
Jun Sun
Wei Zhao
AAML
76
0
0
08 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
Martin Mundt
Anaelia Ovalle
Felix Friedrich
A Pranav
Subarnaduti Paul
Manuel Brack
Kristian Kersting
William Agnew
416
0
0
05 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan Yuille
Zongwei Zhou
MedIm
65
8
0
20 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
107
20
0
17 Jan 2025
MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection
MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection
Arkaprava Sinha
Monish Soundar Raj
Pu Wang
Ahmed Helmy
Srijan Das
Mamba
82
3
0
10 Jan 2025
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images
Virmarie Maquiling
Sean Anthony Byrne
D. Niehorster
Marco Carminati
Enkelejda Kasneci
VLM
55
0
0
11 Oct 2024
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven Waslander
Hongsheng Li
Yu Liu
47
2
0
11 Oct 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat
  Detection
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
R. Gayathri
Atul Sajjanhar
Md Palash Uddin
Yong Xiang
FedML
28
0
0
19 Sep 2024
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
David Tschirschwitz
Volker Rodehorst
36
1
0
14 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks
A Cost-Aware Approach to Adversarial Robustness in Neural Networks
Charles Meyers
Mohammad Reza Saleh Sedghpour
Tommy Löfstedt
Erik Elmroth
OOD
AAML
38
0
0
11 Sep 2024
Data Augmentation via Latent Diffusion for Saliency Prediction
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir
Deblina Bhattacharjee
Tong Zhang
Mathieu Salzmann
Sabine Süsstrunk
57
1
0
11 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
63
3
0
30 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
53
31
0
01 Aug 2024
Scaling Backwards: Minimal Synthetic Pre-training?
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura
Ryu Tadokoro
Ryosuke Yamada
Tim Puhlfürß
Iro Laina
Christian Rupprecht
Walid Maalej
Rio Yokota
Hirokatsu Kataoka
DD
44
3
0
01 Aug 2024
Investigation to answer three key questions concerning plant pest
  identification and development of a practical identification framework
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework
Ryosuke Wayama
Yuki Sasaki
S. Kagiwada
Nobusuke Iwasaki
Hitoshi Iyatomi
35
6
0
25 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label
  Backdoor Attacks
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Quang H. Nguyen
Nguyen Ngoc-Hieu
The-Anh Ta
Thanh Nguyen-Tang
Kok-Seng Wong
Hoang Thanh-Tung
Khoa D. Doan
AAML
62
2
0
15 Jul 2024
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
Omar S. El-Assiouti
Ghada Hamed
Dina Khattab
H. M. Ebied
52
1
0
10 Jul 2024
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
Ziche Liu
Rui Ke
Feng Jiang
Feng Jiang
Haizhou Li
71
1
0
20 Jun 2024
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and
  Missing Labels
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels
Samuele Cornell
Janek Ebbers
Constance Douwes
Irene Martín-Morató
Manu Harju
A. Mesaros
Romain Serizel
42
13
0
12 Jun 2024
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
63
5
0
06 Jun 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Fractals as Pre-training Datasets for Anomaly Detection and Localization
C. Ugwu
S. Casarin
Oswald Lanz
43
0
0
11 May 2024
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data
  Augmentation
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation
Haonan Wang
51
0
0
11 May 2024
How Much Data are Enough? Investigating Dataset Requirements for
  Patch-Based Brain MRI Segmentation Tasks
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
Dongang Wang
Peilin Liu
Hengrui Wang
H. Beadnall
K. Kyle
...
Tom Weidong Cai
Wanli Ouyang
Fernando Calamante
Michael Barnett
Chenyu Wang
42
2
0
04 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
Andrei Semenov
Vladimir Ivanov
Aleksandr Beznosikov
Alexander Gasnikov
47
6
0
04 Apr 2024
SpiralMLP: A Lightweight Vision MLP Architecture
SpiralMLP: A Lightweight Vision MLP Architecture
Haojie Mu
Burhan Ul Tayyab
Nicholas Chua
50
0
0
31 Mar 2024
Tiny Models are the Computational Saver for Large Models
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang
B. Cardiff
Antoine Frappé
Benoît Larras
Deepu John
57
2
0
26 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär
N. Houlsby
Mostafa Dehghani
Manoj Kumar
VLM
44
4
0
15 Mar 2024
Activating Wider Areas in Image Super-Resolution
Activating Wider Areas in Image Super-Resolution
Cheng Cheng
Hang Wang
Hongbin Sun
54
9
0
13 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu
Kaiming He
55
29
0
13 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
42
5
0
12 Mar 2024
Federated Joint Learning of Robot Networks in Stroke Rehabilitation
Federated Joint Learning of Robot Networks in Stroke Rehabilitation
Xinyu Jiang
Yibei Guo
Mengsha Hu
Ruoming Jin
Hai Phan
Jay Alberts
Rui Liu
21
0
0
08 Mar 2024
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read
  and Write
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write
B. Mitrevski
Arina Rak
Julian Schnitzler
Chengkun Li
Andrii Maksai
Jesse Berent
C. Musat
DiffM
39
0
0
08 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection
Unraveling the Key of Machine Learning Solutions for Android Malware Detection
Jiahao Liu
Jun Zeng
Fabio Pierazzi
Lorenzo Cavallaro
Zhenkai Liang
AAML
36
8
0
05 Feb 2024
A Study on Self-Supervised Pretraining for Vision Problems in
  Gastrointestinal Endoscopy
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson
B. Matuszewski
41
2
0
11 Jan 2024
Setting the Record Straight on Transformer Oversmoothing
Setting the Record Straight on Transformer Oversmoothing
G. Dovonon
M. Bronstein
Matt J. Kusner
42
5
0
09 Jan 2024
Cached Transformers: Improving Transformers with Differentiable Memory
  Cache
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Zhaoyang Zhang
Wenqi Shao
Yixiao Ge
Xiaogang Wang
Liang Feng
Ping Luo
24
2
0
20 Dec 2023
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