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Locality and compositionality in zero-shot learning

Locality and compositionality in zero-shot learning

20 December 2019
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
ArXivPDFHTML

Papers citing "Locality and compositionality in zero-shot learning"

15 / 15 papers shown
Title
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
Yuqi Li
Qingqing Long
Yihang Zhou
Yuchen Yan
Xiao Luo
Zeyu Dong
Xuezhi Wang
Zhen Meng
Pengfei Wang
VLM
54
3
0
26 Feb 2024
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David E. Evans
Li Meng
OffRL
21
0
0
30 May 2023
Open-vocabulary Attribute Detection
Open-vocabulary Attribute Detection
M. A. Bravo
Sudhanshu Mittal
Simon Ging
Thomas Brox
VLM
ObjD
19
30
0
23 Nov 2022
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
38
1
0
22 Nov 2022
On a Built-in Conflict between Deep Learning and Systematic
  Generalization
On a Built-in Conflict between Deep Learning and Systematic Generalization
Yuanpeng Li
OOD
45
0
0
24 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
32
27
0
15 Jul 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
29
37
0
04 Apr 2022
Region Semantically Aligned Network for Zero-Shot Learning
Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang
Yunhao Gou
Jingjing Li
Yu Zhang
Yang Yang
38
11
0
14 Oct 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya-Qin Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
42
12
0
08 May 2021
Cross-Modal Information Maximization for Medical Imaging: CMIM
Cross-Modal Information Maximization for Medical Imaging: CMIM
Tristan Sylvain
Francis Dutil
T. Berthier
Lisa Di-Jorio
Margaux Luck
Devon Hjelm
Yoshua Bengio
17
6
0
20 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
72
759
0
09 Oct 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSL
MDE
26
28
0
27 Jul 2020
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
Kui Jia
60
95
0
28 Jul 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image
  Recognition
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Ming-hui Sun
Yuchen Yuan
Feng Zhou
Errui Ding
125
350
0
14 Jun 2018
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
338
11,684
0
09 Mar 2017
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