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PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions

PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions

R. K. Jones
Homer Walke
Daniel E. Ritchie
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Papers citing "PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions"

4 / 4 papers shown
Title
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
R. K. Jones
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
21
23
0
09 May 2023
GeoCode: Interpretable Shape Programs
GeoCode: Interpretable Shape Programs
Ofek Pearl
Itai Lang
Yuhua Hu
Raymond A. Yeh
Rana Hanocka
35
14
0
19 Dec 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize
From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang
Kevin Ellis
NAI
22
10
0
13 Jun 2022
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
269
0
30 Sep 2019