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1805.10123
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TADAM: Task dependent adaptive metric for improved few-shot learning
23 May 2018
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
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Papers citing
"TADAM: Task dependent adaptive metric for improved few-shot learning"
50 / 235 papers shown
Title
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
Thamiris Coelho
Leo S. F. Ribeiro
João Macedo
J. A. dos Santos
Sandra Avila
29
0
0
10 May 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning
Rhythm Baghel
Souvik Maji
Pratik Mazumder
33
0
0
24 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
87
3
0
17 Jan 2025
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning
William A. Stigall
62
0
0
14 Oct 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
32
0
0
16 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti
Martin Jaggi
30
1
0
05 Sep 2024
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection
Tongtong Feng
Qi Qi
Lingqi Guo
Jingyu Wang
33
0
0
30 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection
Camilo Vargas
Qianni Zhang
E. Izquierdo
ObjD
VLM
46
0
0
01 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
MedIm
42
2
0
21 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
54
0
0
15 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
58
1
0
05 Jun 2024
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation
Min-Jae Hwang
Ilia Kulikov
Benjamin Peloquin
Hongyu Gong
Peng-Jen Chen
Ann Lee
35
1
0
04 Jun 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
39
1
0
21 May 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
36
11
0
13 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
49
0
0
23 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär
N. Houlsby
Mostafa Dehghani
Manoj Kumar
VLM
34
4
0
15 Mar 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
29 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms
P. Agarwal
Shreya Singh
OOD
37
1
0
27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
32
1
0
27 Dec 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu
Conghui Hu
Na Zhao
Gim Hee Lee
3DPC
25
6
0
20 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
Seunghan Yang
Byeonggeun Kim
Kyuhong Shim
Simyoung Chang
29
1
0
31 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
39
23
0
20 Aug 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
50
2
0
09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
47
0
0
04 Jul 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
Tao Zhang
Wu Huang
21
2
0
30 May 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
31
6
0
13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
43
0
0
13 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
24
40
0
03 Apr 2023
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
Wenjie Hu
Hongjian Zhan
Xinchen Ma
Cong Liu
Bing Yin
Yue Lu
22
0
0
03 Apr 2023
What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye
Erik Cambria
Yongbin Liao
Yang-ting Zhang
Tao Chen
Jiayuan Fan
3DPC
27
26
0
31 Mar 2023
Do Prosody Transfer Models Transfer Prosody?
A. Sigurgeirsson
Simon King
DiffM
12
7
0
07 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
Henry Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
40
11
0
24 Feb 2023
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
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
29
20
0
03 Feb 2023
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
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
19
0
23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
38
3
0
22 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
31
0
0
11 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding
Changchang Sun
Hao Tang
Dawen Cai
Yan Yan
36
45
0
07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
Yiqiao Jin
Xiting Wang
Y. Hao
Yizhou Sun
Xing Xie
38
11
0
24 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
31
5
0
16 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
Youcheng Huang
Wenqiang Lei
Jie Fu
Jiancheng Lv
19
3
0
07 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu
Shekhor Chanda
M. Hosseinzadeh
Zhi Liu
Yang Wang
VLM
29
7
0
18 Oct 2022
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
26
4
0
11 Oct 2022
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
32
4
0
11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
34
3
0
05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
40
9
0
05 Oct 2022
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