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Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation

2 July 2022
Michael Chang
Thomas L. Griffiths
Sergey Levine
    OCL
ArXivPDFHTML

Papers citing "Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation"

16 / 16 papers shown
Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Can Küçüksözen
Yücel Yemez
OCL
45
0
0
04 May 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
67
6
0
17 Feb 2025
LPGD: A General Framework for Backpropagation through Embedded
  Optimization Layers
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
47
1
0
08 Jul 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
46
1
0
02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGe
OOD
OCL
63
1
0
18 Jan 2024
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
52
12
0
28 Oct 2023
Im-Promptu: In-Context Composition from Image Prompts
Im-Promptu: In-Context Composition from Image Prompts
Bhishma Dedhia
Michael Chang
Jake C. Snell
Thomas L. Griffiths
N. Jha
LRM
MLLM
27
1
0
26 May 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal
  Representation Learning
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Yuejiang Liu
Alexandre Alahi
Chris Russell
Max Horn
Dominik Zietlow
Bernhard Schölkopf
Francesco Locatello
CML
49
22
0
12 Jan 2023
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Dongwon Kim
Nam-Won Kim
Suha Kwak
16
37
0
30 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
19
36
0
02 Nov 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
B. Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
24
8
0
11 Oct 2022
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
59
69
0
09 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,774
0
24 Feb 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
Iterative Amortized Policy Optimization
Iterative Amortized Policy Optimization
Joseph Marino
Alexandre Piché
Alessandro Davide Ialongo
Yisong Yue
OffRL
50
22
0
20 Oct 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
252
11,677
0
09 Mar 2017
1