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
Models Developed for Spiking Neural Networks
Models Developed for Spiking Neural Networks
Shahriar Rezghi Shirsavar
A. Vahabie
M. Dehaqani
27
4
0
08 Dec 2022
Deep Incubation: Training Large Models by Divide-and-Conquering
Deep Incubation: Training Large Models by Divide-and-Conquering
Zanlin Ni
Yulin Wang
Jiangwei Yu
Haojun Jiang
Yu Cao
Gao Huang
VLM
18
11
0
08 Dec 2022
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video
  Learning
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
A. Piergiovanni
Weicheng Kuo
A. Angelova
ViT
36
54
0
06 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them
Sources of Noise in Dialogue and How to Deal with Them
Derek Chen
Zhou Yu
11
2
0
06 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
Yulei Qin
Xingyu Chen
Chao Chen
Yunhang Shen
Bohan Ren
Yun Gu
Jie-jin Yang
Chunhua Shen
44
4
0
01 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
24
7
0
29 Nov 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and
  Aspirations in Making Good Data
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
Inha Cha
Juhyun Oh
Cheul Young Park
Jiyoon Han
Hwalsuk Lee
29
2
0
28 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
40
32
0
24 Nov 2022
On the Transferability of Visual Features in Generalized Zero-Shot
  Learning
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Paola Cascante-Bonilla
Leonid Karlinsky
James Smith
Yanjun Qi
Vicente Ordonez
27
2
0
22 Nov 2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and
  Vision-Language Tasks
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Hao Li
Jinguo Zhu
Xiaohu Jiang
Xizhou Zhu
Hongsheng Li
...
Xiaohua Wang
Yu Qiao
Xiaogang Wang
Wenhai Wang
Jifeng Dai
MLLM
20
55
0
17 Nov 2022
Token Turing Machines
Token Turing Machines
Michael S. Ryoo
K. Gopalakrishnan
Kumara Kahatapitiya
Ted Xiao
Kanishka Rao
Austin Stone
Yao Lu
Julian Ibarz
Anurag Arnab
27
21
0
16 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention
ParCNetV2: Oversized Kernel with Enhanced Attention
Ruihan Xu
Haokui Zhang
Wenze Hu
Shiliang Zhang
Xiaoyu Wang
ViT
30
6
0
14 Nov 2022
Striving for data-model efficiency: Identifying data externalities on
  group performance
Striving for data-model efficiency: Identifying data externalities on group performance
Esther Rolf
Ben Packer
Alex Beutel
Fernando Diaz
TDI
24
2
0
11 Nov 2022
Age Prediction Performance Varies Across Deep, Superficial, and
  Cerebellar White Matter Connections
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections
Yuxiang Wei
Tengfei Xue
Yogesh Rathi
N. Makris
Fan Zhang
L. O’Donnell
22
1
0
11 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
Broken Neural Scaling Laws
Broken Neural Scaling Laws
Ethan Caballero
Kshitij Gupta
Irina Rish
David M. Krueger
30
74
0
26 Oct 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias
  Boost Machine Abstract Reasoning Ability
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability
Qinglai Wei
Diancheng Chen
Beiming Yuan
32
10
0
26 Oct 2022
Active Learning Framework to Automate NetworkTraffic Classification
Active Learning Framework to Automate NetworkTraffic Classification
Jaroslav Pesek
Dominik Soukup
T. Čejka
32
1
0
26 Oct 2022
Explicitly Increasing Input Information Density for Vision Transformers
  on Small Datasets
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Xiangyu Chen
Ying Qin
Wenju Xu
A. Bur
Cuncong Zhong
Guanghui Wang
ViT
40
3
0
25 Oct 2022
3D Human Pose Estimation in Multi-View Operating Room Videos Using
  Differentiable Camera Projections
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections
Beerend G. A. Gerats
J. Wolterink
I. A. Broeders
3DH
14
11
0
21 Oct 2022
On the Adversarial Robustness of Mixture of Experts
On the Adversarial Robustness of Mixture of Experts
J. Puigcerver
Rodolphe Jenatton
C. Riquelme
Pranjal Awasthi
Srinadh Bhojanapalli
OOD
AAML
MoE
37
18
0
19 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip H. S. Torr
Song Bai
Xiaojuan Qi
37
285
0
14 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from
  Training to Architecture
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
ViT
42
52
0
14 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling
  Laws, Invariance, and Implicit Regularization
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
26
35
0
12 Oct 2022
SaiT: Sparse Vision Transformers through Adaptive Token Pruning
SaiT: Sparse Vision Transformers through Adaptive Token Pruning
Ling Li
D. Thorsley
Joseph Hassoun
ViT
25
17
0
11 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
38
142
0
10 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision
  Models
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang
Siyuan Qiao
Qihang Yu
Xiaoding Yuan
Yukun Zhu
Alan Yuille
Hartwig Adam
Liang-Chieh Chen
ViT
MoE
36
58
0
04 Oct 2022
Introducing Vision Transformer for Alzheimer's Disease classification
  task with 3D input
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input
Zilun Zhang
Farzad Khalvati
MedIm
ViT
22
9
0
03 Oct 2022
Data Budgeting for Machine Learning
Data Budgeting for Machine Learning
Xin-Bo Zhao
Weixin Liang
James Zou
18
2
0
03 Oct 2022
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision
  Transformers for 3D Object Recognition
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision Transformers for 3D Object Recognition
Georgios Tziafas
H. Kasaei
ViT
40
10
0
03 Oct 2022
A Light Recipe to Train Robust Vision Transformers
A Light Recipe to Train Robust Vision Transformers
Edoardo Debenedetti
Vikash Sehwag
Prateek Mittal
ViT
29
68
0
15 Sep 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic
  Semantic Segmentation
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation
Ralf Römer
Armin Lederer
Samuel Tesfazgi
Sandra Hirche
29
2
0
14 Sep 2022
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M. Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
159
102
0
13 Sep 2022
MRL: Learning to Mix with Attention and Convolutions
MRL: Learning to Mix with Attention and Convolutions
Shlok Mohta
Hisahiro Suganuma
Yoshiki Tanaka
28
2
0
30 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot
  Classification
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
Yunqing Zhao
Ngai-man Cheung
BDL
23
12
0
23 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiang Wang
Song Wang
VLM
42
6
0
22 Aug 2022
Improved Image Classification with Token Fusion
Improved Image Classification with Token Fusion
Keong-Hun Choi
Jin-Woo Kim
Yaolong Wang
J. Ha
ViT
19
0
0
19 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation
  and Captioning
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning
Olivia Wiles
Isabela Albuquerque
Sven Gowal
VLM
40
47
0
18 Aug 2022
Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems
Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems
D. Navon
A. Bronstein
MoE
38
0
0
17 Aug 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
19
5
0
01 Aug 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for
  Energy-Efficient Low-precision Deep Convolutional Neural Networks
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks
Muhammad Abdullah Hanif
G. M. Sarda
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
MQ
19
4
0
31 Jul 2022
The Bearable Lightness of Big Data: Towards Massive Public Datasets in
  Scientific Machine Learning
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung
Kihoon Jung
Jacqueline H. Chen
M. Ihme
AI4CE
16
3
0
25 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
22
75
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Western Mediterranean wetlands bird species classification: evaluating
  small-footprint deep learning approaches on a new annotated dataset
Western Mediterranean wetlands bird species classification: evaluating small-footprint deep learning approaches on a new annotated dataset
Juan Gómez-Gómez
Ester Vidaña-Vila
Xavier Sevillano
17
7
0
12 Jul 2022
Revisiting Classifier: Transferring Vision-Language Models for Video
  Recognition
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Wenhao Wu
Zhun Sun
Wanli Ouyang
VLM
103
93
0
04 Jul 2022
Regularization of NeRFs using differential geometry
Regularization of NeRFs using differential geometry
T. Ehret
Roger Marí
Gabriele Facciolo
AI4CE
23
5
0
29 Jun 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited
  Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Ximeng Sun
Ping Hu
Kate Saenko
VLM
33
119
0
20 Jun 2022
Backdoor Attacks on Vision Transformers
Backdoor Attacks on Vision Transformers
Akshayvarun Subramanya
Aniruddha Saha
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
ViT
AAML
12
16
0
16 Jun 2022
Previous
123456789
Next