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. 1707.02968
  4. Cited By
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 / 421 papers shown
Title
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
36
3
0
13 Aug 2023
From Sparse to Soft Mixtures of Experts
From Sparse to Soft Mixtures of Experts
J. Puigcerver
C. Riquelme
Basil Mustafa
N. Houlsby
MoE
121
114
0
02 Aug 2023
Sampling to Distill: Knowledge Transfer from Open-World Data
Sampling to Distill: Knowledge Transfer from Open-World Data
Yuzheng Wang
Zhaoyu Chen
Jie M. Zhang
Dingkang Yang
Zuhao Ge
Yang Liu
Siao Liu
Yunquan Sun
Wenqiang Zhang
Lizhe Qi
28
9
0
31 Jul 2023
What Can Simple Arithmetic Operations Do for Temporal Modeling?
What Can Simple Arithmetic Operations Do for Temporal Modeling?
Wenhao Wu
Yuxin Song
Zhun Sun
Jingdong Wang
Chang Xu
Wanli Ouyang
40
8
0
18 Jul 2023
Does Visual Pretraining Help End-to-End Reasoning?
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun
Calvin Luo
Xingyi Zhou
Anurag Arnab
Cordelia Schmid
OCL
LRM
ViT
35
3
0
17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
92
1
0
17 Jul 2023
RedMotion: Motion Prediction via Redundancy Reduction
RedMotion: Motion Prediction via Redundancy Reduction
Royden Wagner
Omer Sahin Tas
Marvin Klemp
Carlos Fernandez Lopez
Christoph Stiller
46
6
0
19 Jun 2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large
  Language Models
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Kaifeng Bi
Xiaotao Gu
Jianlong Chang
Qi Tian
33
7
0
14 Jun 2023
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning
Edward C. Williams
Grace Su
Sandra R. Schloen
Miller C. Prosser
Susanne Paulus
S.Rohith Krishnan
21
3
0
02 Jun 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
J. C. V. Gemert
25
9
0
31 May 2023
One-Step Knowledge Distillation and Fine-Tuning in Using Large
  Pre-Trained Self-Supervised Learning Models for Speaker Verification
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification
Ju-Sung Heo
Chan-yeong Lim
Ju-ho Kim
Hyun-Seo Shin
Ha-Jin Yu
23
2
0
27 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning
  in Encrypted Traffic Classification
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Idio Guarino
Chao Wang
A. Finamore
A. Pescapé
Dario Rossi
21
11
0
21 May 2023
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta
Kuang-Huei Lee
Ofir Nachum
Yutaka Matsuo
Aleksandra Faust
S. Gu
Izzeddin Gur
LM&Ro
36
92
0
19 May 2023
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep
  Learning
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning
Ahmad Al Harere
Khloud Al Jallad
28
3
0
10 May 2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers
End-to-End Spatio-Temporal Action Localisation with Video Transformers
A. Gritsenko
Xuehan Xiong
Josip Djolonga
Mostafa Dehghani
Chen Sun
Mario Lucic
Cordelia Schmid
Anurag Arnab
ViT
34
13
0
24 Apr 2023
Prediction-Oriented Bayesian Active Learning
Prediction-Oriented Bayesian Active Learning
Freddie Bickford-Smith
Andreas Kirsch
Sebastian Farquhar
Y. Gal
Adam Foster
Tom Rainforth
36
29
0
17 Apr 2023
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic
  Segmentation
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
Jie Guo
Qimeng Wang
Yan Gao
Xiaolong Jiang
Xu Tang
Yao Hu
Baochang Zhang
VLM
37
11
0
14 Apr 2023
RECLIP: Resource-efficient CLIP by Training with Small Images
RECLIP: Resource-efficient CLIP by Training with Small Images
Runze Li
Dahun Kim
B. Bhanu
Weicheng Kuo
VLM
CLIP
30
13
0
12 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
30
41
0
07 Apr 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark
P. Jaini
DiffM
VLM
29
107
0
27 Mar 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object
  Detection
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Rogerio Feris
Kate Saenko
38
1
0
26 Mar 2023
Machine Learning for Brain Disorders: Transformers and Visual
  Transformers
Machine Learning for Brain Disorders: Transformers and Visual Transformers
Robin Courant
Maika Edberg
Nicolas Dufour
Vicky Kalogeiton
MedIm
ViT
32
1
0
21 Mar 2023
ViM: Vision Middleware for Unified Downstream Transferring
ViM: Vision Middleware for Unified Downstream Transferring
Yutong Feng
Biao Gong
Jianwen Jiang
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
32
1
0
13 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
37
31
0
11 Mar 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
A Meta-Learning Approach to Predicting Performance and Data Requirements
Achin Jain
Gurumurthy Swaminathan
Paolo Favaro
Hao Yang
Avinash Ravichandran
...
Alessandro Achille
O. Dabeer
Bernt Schiele
A. Swaminathan
Stefano Soatto
37
8
0
02 Mar 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
46
20
0
27 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical
  image analysis with PPPML-HMI
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Juexiao Zhou
Longxi Zhou
Di Wang
Xiaopeng Xu
Haoyang Li
Yuetan Chu
Wenkai Han
Xin Gao
28
20
0
20 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
26
32
0
16 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
67
352
0
13 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Tim Whitaker
L. D. Whitley
CVBM
27
2
0
11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
61
570
0
10 Feb 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
VLM
DiffM
32
232
0
07 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic
  Segmentation
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash J. Patel
Yusheng Xie
Yi Zhu
Srikar Appalaraju
R. Manmatha
35
4
0
07 Feb 2023
AIM: Adapting Image Models for Efficient Video Action Recognition
AIM: Adapting Image Models for Efficient Video Action Recognition
Taojiannan Yang
Yi Zhu
Yusheng Xie
Aston Zhang
Cheng Chen
Mu Li
ViT
58
144
0
06 Feb 2023
Linking data separation, visual separation, and classifier performance
  using pseudo-labeling by contrastive learning
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning
B. C. Benato
A. X. Falcão
A. Telea
25
4
0
06 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
21
18
0
02 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on
  Transformers
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Hugo Lemarchant
Liang Li
Yiming Qian
Yuta Nakashima
Hajime Nagahara
ViT
AAML
43
0
0
31 Jan 2023
Adaptive Computation with Elastic Input Sequence
Adaptive Computation with Elastic Input Sequence
Fuzhao Xue
Valerii Likhosherstov
Anurag Arnab
N. Houlsby
Mostafa Dehghani
Yang You
31
18
0
30 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
37
2
0
25 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
35
108
0
18 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
23
34
0
11 Jan 2023
OVO: One-shot Vision Transformer Search with Online distillation
Zimian Wei
H. Pan
Xin-Yi Niu
Dongsheng Li
ViT
29
1
0
28 Dec 2022
SMMix: Self-Motivated Image Mixing for Vision Transformers
SMMix: Self-Motivated Image Mixing for Vision Transformers
Mengzhao Chen
Mingbao Lin
Zhihang Lin
Yu-xin Zhang
Rongrong Ji
Rongrong Ji
53
10
0
26 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
28
18
0
23 Dec 2022
Weakly supervised training of universal visual concepts for multi-domain
  semantic segmentation
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
Petra Bevandić
Marin Orsic
Ivan Grubišić
Josip Saric
Sinisa Segvic
31
5
0
20 Dec 2022
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision Model
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLM
ObjD
32
8
0
19 Dec 2022
POTATO: The Portable Text Annotation Tool
POTATO: The Portable Text Annotation Tool
Jiaxin Pei
Aparna Ananthasubramaniam
Xingyao Wang
Naitian Zhou
Jackson Sargent
Apostolos Dedeloudis
David Jurgens
VLM
24
58
0
16 Dec 2022
Vision Transformer with Attentive Pooling for Robust Facial Expression
  Recognition
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
Fanglei Xue
Qiangchang Wang
Zichang Tan
Zhongsong Ma
G. Guo
ViT
38
67
0
11 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
34
1
0
09 Dec 2022
Previous
123456789
Next