Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1909.02729
Cited By
v1
v2
v3
v4
v5 (latest)
A Baseline for Few-Shot Image Classification
International Conference on Learning Representations (ICLR), 2019
6 September 2019
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A Baseline for Few-Shot Image Classification"
50 / 339 papers shown
Title
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar
Dena Bazazian
3DPC
164
11
0
12 Apr 2023
Learning Expressive Prompting With Residuals for Vision Transformers
Computer Vision and Pattern Recognition (CVPR), 2023
Rajshekhar Das
Yonatan Dukler
Avinash Ravichandran
A. Swaminathan
VLM
VPVLM
148
29
0
27 Mar 2023
Prompt Tuning based Adapter for Vision-Language Model Adaption
Jingchen Sun
Jiayu Qin
Zihao Lin
Changyou Chen
VPVLM
MLLM
VLM
124
9
0
24 Mar 2023
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bang-ju Yang
Fenglin Liu
Yuexian Zou
Xian Wu
Yaowei Wang
David Clifton
153
12
0
11 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Ji Zhang
Lianli Gao
Xu Luo
Hengtao Shen
Jingkuan Song
VLM
290
27
0
11 Mar 2023
A Challenging Benchmark for Low-Resource Learning
Yudong Wang
Chang Ma
Qingxiu Dong
Lingpeng Kong
Jingjing Xu
145
9
0
07 Mar 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Pattern Recognition (Pattern Recogn.), 2023
Moon Ye-Bin
D. Choi
Y. Kwon
Junsik Kim
Tae-Hyun Oh
ISeg
346
8
0
20 Feb 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Pattern Recognition (Pattern Recogn.), 2023
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
183
17
0
10 Feb 2023
A Closer Look at Few-shot Classification Again
International Conference on Machine Learning (ICML), 2023
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
196
69
0
28 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
218
17
0
20 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Computer Vision and Pattern Recognition (CVPR), 2023
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
339
147
0
16 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
227
3
0
04 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Image and Vision Computing (IVC), 2023
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
201
6
0
02 Jan 2023
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
Tomer Galanti
András Gyorgy
Marcus Hutter
VLM
SSL
169
5
0
23 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Niels Schlüsener
Michael Bücker
SLR
162
2
0
16 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification
European Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
205
2
0
13 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
LOG IN (LOG IN), 2022
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
137
29
0
11 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei
Wei Zhuo
Jiandong Tian
Guangming Lu
Wenjie Pei
VLM
180
0
0
02 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data
AAAI Conference on Artificial Intelligence (AAAI), 2022
Seongwoong Kim
Dong-Wan Choi
205
9
0
29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
146
24
0
29 Nov 2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Yuhang Lu
Xinyi Wu
Zhenyao Wu
Song Wang
113
9
0
27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
326
2
0
26 Nov 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2022
Sina Hajimiri
Malik Boudiaf
Ismail Ben Ayed
Jose Dolz
VLM
175
35
0
25 Nov 2022
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
Biomedical engineering and physics express (BEPE), 2022
Ning Ding
Ce Zhang
A. Eskandarian
128
6
0
07 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Gaurav Kumar Nayak
Ruchit Rawal
Inder Khatri
Anirban Chakraborty
AAML
104
3
0
03 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
ACM Multimedia (ACM MM), 2022
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
Jing Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
155
9
0
02 Nov 2022
A picture of the space of typical learnable tasks
International Conference on Machine Learning (ICML), 2022
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSL
DRL
342
6
0
31 Oct 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings
Karthik Desingu
P. Mirunalini
Chandrabose Aravindan
128
3
0
30 Oct 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Neural Information Processing Systems (NeurIPS), 2022
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
156
26
0
30 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference
Neural Information Processing Systems (NeurIPS), 2022
Ségolène Martin
Malik Boudiaf
Émilie Chouzenoux
J. Pesquet
Ismail Ben Ayed
217
11
0
26 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
154
1
0
12 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ojas Kishorkumar Shirekar
Ashutosh Kumar Singh
Hadi Jamali Rad
134
6
0
12 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Neural Information Processing Systems (NeurIPS), 2022
Shizhen Zhao
Xiaojuan Qi
3DPC
238
24
0
11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
156
4
0
07 Oct 2022
Offline Handwritten Amharic Character Recognition Using Few-shot Learning
Mesay Samuel Gondere
Lars Schmidt-Thieme
D. Sharma
Abiot Sinamo Boltena
Abey Bruck
OffRL
152
3
0
01 Oct 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Neural Information Processing Systems (NeurIPS), 2022
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
267
51
0
29 Sep 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
163
1
0
23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
184
20
0
18 Sep 2022
A Study on Representation Transfer for Few-Shot Learning
Chun-Nam Yu
Yi Xie
SSL
97
2
0
05 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
226
0
0
03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
204
18
0
22 Aug 2022
Reference-Limited Compositional Zero-Shot Learning
International Conference on Multimedia Retrieval (ICMR), 2022
Siteng Huang
Qiyao Wei
Xuetao Zhang
CoGe
110
6
0
22 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
175
4
0
03 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Alycia Lee
P. Yu
Yu-Xiong Wang
Oluwasanmi Koyejo
163
12
0
02 Aug 2022
Self-Support Few-Shot Semantic Segmentation
European Conference on Computer Vision (ECCV), 2022
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
199
189
0
23 Jul 2022
Hyper-Representations for Pre-Training and Transfer Learning
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
131
12
0
22 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
European Conference on Computer Vision (ECCV), 2022
Renrui Zhang
Zhang Wei
Rongyao Fang
Shiyang Feng
Kunchang Li
Jifeng Dai
Yu Qiao
Jiaming Song
VLM
304
440
0
19 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
European Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
192
48
0
19 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition
European Conference on Computer Vision (ECCV), 2022
Yifei Huang
Lijin Yang
Yoichi Sato
279
56
0
12 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
International Conference on Industrial Informatics (INDIN), 2022
Jiahui Wang
H. Zhu
Haoren Guo
Abdullah Al Mamun
V. Prahlad
T. Lee
3DPC
223
5
0
04 Jul 2022
Previous
1
2
3
4
5
6
7
Next