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Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
v1v2v3 (latest)

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

2 July 2022
Michael Chang
Thomas Griffiths
Sergey Levine
    OCL
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Title
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
Hongjia Liu
Rongzhen Zhao
Haohan Chen
Joni Pajarinen
OCLVLM
127
0
0
27 May 2025
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
171
0
0
04 May 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
206
10
0
17 Oct 2024
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
115
1
0
08 Jul 2024
Learning Object-Centric Representation via Reverse Hierarchy Guidance
Learning Object-Centric Representation via Reverse Hierarchy Guidance
Junhong Zou
Xiangyu Zhu
Zhaoxiang Zhang
Zhen Lei
BDLObjDOCL
76
0
0
17 May 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
149
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
CoGeOODOCL
168
1
0
18 Jan 2024
Object-centric architectures enable efficient causal representation
  learning
Object-centric architectures enable efficient causal representation learning
Amin Mansouri
Jason S. Hartford
Yan Zhang
Yoshua Bengio
CMLOCLOOD
102
18
0
29 Oct 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
133
43
0
07 Jun 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 Griffiths
N. Jha
LRMMLLM
103
2
0
26 May 2023
Object-Centric Slot Diffusion
Object-Centric Slot Diffusion
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffMBDLOCL
135
61
0
20 Mar 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
118
23
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
132
41
0
30 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
114
37
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
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
97
8
0
11 Oct 2022
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