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Attentive Recurrent Comparators

Attentive Recurrent Comparators

2 March 2017
Pranav Shyam
Shubham Gupta
Ambedkar Dukkipati
    VLM
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Papers citing "Attentive Recurrent Comparators"

13 / 13 papers shown
Title
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked
  Autoencoders
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
Qingsen Yan
Song Zhang
Weiye Chen
Hao Tang
Yu Zhu
Jinqiu Sun
Luc Van Gool
Yanning Zhang
27
14
0
14 Apr 2023
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng R. Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
45
17
0
12 Apr 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
32
13
0
15 Mar 2023
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Micro-Expression Recognition Based on Attribute Information Embedding
  and Cross-modal Contrastive Learning
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Yanxing Song
Jianzong Wang
Tianbo Wu
Zhangcheng Huang
Jing Xiao
CVBM
29
2
0
29 May 2022
Image compression optimized for 3D reconstruction by utilizing deep
  neural networks
Image compression optimized for 3D reconstruction by utilizing deep neural networks
Alexander M. Golts
Y. Schechner
3DV
26
12
0
27 Mar 2020
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
27
219
0
30 Oct 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
63
509
0
29 Apr 2019
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
50
31
0
18 Dec 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
27
66
0
31 May 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
33
120
0
10 Mar 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn
  Distributions
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott E. Reed
Yutian Chen
T. Paine
Aaron van den Oord
S. M. Ali Eslami
Danilo Jimenez Rezende
Oriol Vinyals
Nando de Freitas
38
88
0
27 Oct 2017
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