Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.02900
Cited By
v1
v2 (latest)
iCassava 2019 Fine-Grained Visual Categorization Challenge
8 August 2019
Ernest Mwebaze
Timnit Gebru
Andrea Frome
Solomon Nsumba
Tusubira Francis Jeremy
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"iCassava 2019 Fine-Grained Visual Categorization Challenge"
19 / 19 papers shown
On Optimal Hyperparameters for Differentially Private Deep Transfer Learning
Aki Rehn
Linzh Zhao
Mikko Heikkilä
Antti Honkela
165
0
0
23 Oct 2025
Multi-output Deep-Supervised Classifier Chains for Plant Pathology
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Jianping Yao
Son N. Tran
124
3
0
27 Jul 2025
Context-Aware Multimodal Pretraining
Computer Vision and Pattern Recognition (CVPR), 2024
Karsten Roth
Zeynep Akata
Dima Damen
Ivana Balazevic
Olivier J. Hénaff
VLM
398
4
0
22 Nov 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner
Sanyam Kapoor
Shikai Qiu
A. Wilson
241
23
0
28 Dec 2023
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
ACM Computing Surveys (ACM Comput. Surv.), 2023
Jianping Yao
Son N. Tran
Saurabh Garg
Samantha Sawyer
260
67
0
25 Oct 2023
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
Artificial Intelligence Review (AIR), 2023
Jianping Yao
Son N. Tran
Samantha Sawyer
Saurabh Garg
233
51
0
19 Oct 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
Computer Vision and Pattern Recognition (CVPR), 2023
Achin Jain
Gurumurthy Swaminathan
Paolo Favaro
Hao Yang
Avinash Ravichandran
...
Alessandro Achille
Onkar Dabeer
Bernt Schiele
A. Swaminathan
Stefano Soatto
239
9
0
02 Mar 2023
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems
Andrea Gesmundo
356
2
0
29 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
Image and Vision Computing (IVC), 2022
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
265
10
0
16 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
276
23
0
15 Sep 2022
Zero-Shot AutoML with Pretrained Models
International Conference on Machine Learning (ICML), 2022
Ekrem Öztürk
Fabio Ferreira
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
Katharina Eggensperger
VLM
359
17
0
16 Jun 2022
The Impact of Reinitialization on Generalization in Convolutional Neural Networks
Ibrahim Alabdulmohsin
Hartmut Maennel
Daniel Keysers
AI4CE
140
24
0
01 Sep 2021
Species Distribution Modeling for Machine Learning Practitioners: A Review
Sara Beery
Elijah Cole
Joseph Parker
Pietro Perona
Kevin Winner
259
91
0
03 Jul 2021
Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention
M. Keaton
Ram J. Zaveri
Meghana Kovur
Cole Henderson
Donald Adjeroh
Gianfranco Doretto
270
7
0
03 Jun 2021
Estimating informativeness of samples with Smooth Unique Information
International Conference on Learning Representations (ICLR), 2021
Hrayr Harutyunyan
Alessandro Achille
Giovanni Paolini
Orchid Majumder
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
280
26
0
17 Jan 2021
Fusing CNNs and statistical indicators to improve image classification
Information Fusion (Inf. Fusion), 2020
Javier Huertas-Tato
Alejandro Martín
Julián Fierrez
David Camacho
238
43
0
20 Dec 2020
RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality
Mohamed Mejri
Aymen Mejri
40
2
0
02 Nov 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
N. H. Phong
B. Ribeiro
VLM
269
10
0
30 Jul 2020
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Ranjita Thapa
Noah Snavely
Serge J. Belongie
Awais Khan Plant Pathology
109
75
0
24 Apr 2020
1
Page 1 of 1
