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Neural Relational Inference with Fast Modular Meta-learning

Neural Relational Inference with Fast Modular Meta-learning

10 October 2023
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
ArXivPDFHTML

Papers citing "Neural Relational Inference with Fast Modular Meta-learning"

10 / 10 papers shown
Title
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
12
4
0
23 Oct 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Erica Weng
Hanako Hoshino
Deva Ramanan
Kris M. Kitani
33
13
0
10 May 2023
Neural Attentive Circuits
Neural Attentive Circuits
Nasim Rahaman
M. Weiß
Francesco Locatello
C. Pal
Yoshua Bengio
Bernhard Schölkopf
Erran L. Li
Nicolas Ballas
11
6
0
14 Oct 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo-Wen Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
9
31
0
02 Jul 2022
Important Object Identification with Semi-Supervised Learning for
  Autonomous Driving
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Jiachen Li
Haiming Gang
Hengbo Ma
M. Tomizuka
Chiho Choi
11
11
0
05 Mar 2022
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
35
8
0
05 Jun 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 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
237
11,568
0
09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
226
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
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