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Joint inference and input optimization in equilibrium networks

Joint inference and input optimization in equilibrium networks

25 November 2021
Swaminathan Gurumurthy
Shaojie Bai
Zachary Manchester
J. Zico Kolter
ArXivPDFHTML

Papers citing "Joint inference and input optimization in equilibrium networks"

7 / 7 papers shown
Title
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
56
12
0
28 Oct 2023
Machines of finite depth: towards a formalization of neural networks
Machines of finite depth: towards a formalization of neural networks
Pietro Vertechi
M. Bergomi
PINN
18
2
0
27 Apr 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
58
120
0
05 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
341
11,684
0
09 Mar 2017
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
599
0
22 Sep 2016
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