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1906.01558
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Disentangling neural mechanisms for perceptual grouping
International Conference on Learning Representations (ICLR), 2019
4 June 2019
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
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Papers citing
"Disentangling neural mechanisms for perceptual grouping"
28 / 28 papers shown
Tracking objects that change in appearance with phase synchrony
International Conference on Learning Representations (ICLR), 2024
Sabine Muzellec
Drew Linsley
A. Ashok
E. Mingolla
Girik Malik
Rufin VanRullen
Thomas Serre
339
3
0
02 Oct 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley
Peisen Zhou
A. Ashok
Akash Nagaraj
Gaurav Gaonkar
Francis E Lewis
Zygmunt Pizlo
Thomas Serre
420
9
0
06 Jun 2024
Pretrained Hybrids with MAD Skills
Nicholas Roberts
Samuel Guo
Zhiqi Gao
Satya Sai Srinath Namburi
Sonia Cromp
Chengjun Wu
Chengyu Duan
Frederic Sala
Mamba
372
0
0
02 Jun 2024
Spectraformer: A Unified Random Feature Framework for Transformer
Duke Nguyen
Du Yin
Aditya Joshi
Flora D. Salim
364
2
0
24 May 2024
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
Lisa Mais
Peter Hirsch
Claire Managan
Ramya Kandarpa
J. L. Rumberger
Annika Reinke
Lena Maier-Hein
Gudrun Ihrke
Dagmar Kainmueller
151
0
0
29 Mar 2024
Neither hype nor gloom do DNNs justice
Behavioral and Brain Sciences (BBS), 2022
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
342
163
0
08 Dec 2023
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
International Conference on Learning Representations (ICLR), 2023
Zhiwei Deng
Ting Chen
Yang Li
ViT
VLM
217
3
0
30 Nov 2023
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
International Conference on Learning Representations (ICLR), 2023
Ido Amos
Jonathan Berant
Ankit Gupta
494
36
0
04 Oct 2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
L. Govindarajan
Rex G Liu
Drew Linsley
A. Ashok
Max Reuter
M. Frank
Thomas Serre
OffRL
181
0
0
22 Sep 2023
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Hossein Adeli
Seoyoung Ahn
N. Kriegeskorte
G. Zelinsky
ViT
130
6
0
01 Jun 2023
Measuring uncertainty in human visual segmentation
Jonathan Vacher
Claire Launay
Pascal Mamassian
Ruben Coen-Cagli
348
5
0
18 Jan 2023
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Ankit Gupta
Harsh Mehta
Jonathan Berant
227
23
0
01 Dec 2022
Harmonizing the object recognition strategies of deep neural networks with humans
Neural Information Processing Systems (NeurIPS), 2022
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
307
92
0
08 Nov 2022
What Makes Convolutional Models Great on Long Sequence Modeling?
International Conference on Learning Representations (ICLR), 2022
Yuhong Li
Tianle Cai
Yi Zhang
De-huai Chen
Debadeepta Dey
VLM
207
110
0
17 Oct 2022
A Benchmark for Compositional Visual Reasoning
Neural Information Processing Systems (NeurIPS), 2022
Aimen Zerroug
Mohit Vaishnav
Julien Colin
Sebastian Musslick
Thomas Serre
OCL
CoGe
266
52
0
11 Jun 2022
BayesFormer: Transformer with Uncertainty Estimation
Karthik Abinav Sankararaman
Sinong Wang
Han Fang
UQCV
BDL
240
19
0
02 Jun 2022
Visual Attention Emerges from Recurrent Sparse Reconstruction
International Conference on Machine Learning (ICML), 2022
Baifeng Shi
Ya-heng Song
Neel Joshi
Trevor Darrell
Xin Eric Wang
3DH
163
7
0
23 Apr 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
International Conference on Machine Learning (ICML), 2022
Noam Razin
Asaf Maman
Nadav Cohen
418
33
0
27 Jan 2022
Do Neural Networks for Segmentation Understand Insideness?
Kimberly M Villalobos
Vilim Štih
Amineh Ahmadinejad
Shobhita Sundaram
Jamell Dozier
Andrew Francl
Frederico Azevedo
Tomotake Sasaki
Xavier Boix
150
8
0
25 Jan 2022
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition
Hossein Adeli
Seoyoung Ahn
G. Zelinsky
OCL
225
3
0
11 Oct 2021
Tracking Without Re-recognition in Humans and Machines
Neural Information Processing Systems (NeurIPS), 2021
Drew Linsley
Girik Malik
Junkyung Kim
L. Govindarajan
E. Mingolla
Thomas Serre
200
19
0
27 May 2021
PQA: Perceptual Question Answering
Computer Vision and Pattern Recognition (CVPR), 2021
Yonggang Qi
Kai Zhang
Aneeshan Sain
Yi-Zhe Song
OOD
155
12
0
08 Apr 2021
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay
Mostafa Dehghani
Samira Abnar
Songlin Yang
Dara Bahri
Philip Pham
J. Rao
Liu Yang
Sebastian Ruder
Donald Metzler
383
832
0
08 Nov 2020
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
259
85
0
22 Jun 2020
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
178
2
0
21 Jun 2020
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
320
52
0
22 May 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Journal of Cognitive Neuroscience (J Cogn Neurosci), 2020
Grace W. Lindsay
MedIm
298
482
0
20 Jan 2020
Flexibly Regularized Mixture Models and Application to Image Segmentation
Neural Networks (NN), 2019
Jonathan Vacher
Claire Launay
Ruben Coen-Cagli
231
15
0
25 May 2019
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