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Optimized Generic Feature Learning for Few-shot Classification across
  Domains

Optimized Generic Feature Learning for Few-shot Classification across Domains

22 January 2020
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
    VLM
ArXivPDFHTML

Papers citing "Optimized Generic Feature Learning for Few-shot Classification across Domains"

12 / 12 papers shown
Title
Improving the Generalizability of Collaborative Dialogue Analysis with
  Multi-Feature Embeddings
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings
A. Enayet
G. Sukthankar
13
1
0
09 Feb 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
33
3
0
22 Dec 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction
  with Selected Sampling
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
R. Tao
Han Zhang
Yutong Zheng
Marios Savvides
31
20
0
07 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
28
27
0
06 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
48
909
1
10 Mar 2022
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
13
28
0
20 Sep 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
25
113
0
01 Jul 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
22
26
0
06 Apr 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
24
84
0
25 Mar 2021
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
F. Wenzel
Jasper Snoek
Dustin Tran
Rodolphe Jenatton
UQCV
24
203
0
24 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
27
125
0
21 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
308
11,681
0
09 Mar 2017
1