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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"

16 / 16 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
Ran Zhang
Zhiyuan Ning
Zhihong Zhu
Yuanchun Zhou
Xuezhi Wang
Meng Xiao
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
26
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
41
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
31
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 Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
42
12
0
08 May 2021
Goal-Oriented Gaze Estimation for Zero-Shot Learning
Goal-Oriented Gaze Estimation for Zero-Shot Learning
Yang Liu
Lei Zhou
Xiao Bai
Yifei Huang
Lin Gu
Jun Zhou
Tatsuya Harada
24
118
0
05 Mar 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
63
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 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
362
11,700
0
09 Mar 2017
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