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The Limited Multi-Label Projection Layer

The Limited Multi-Label Projection Layer

20 June 2019
Brandon Amos
V. Koltun
J. Zico Kolter
ArXivPDFHTML

Papers citing "The Limited Multi-Label Projection Layer"

13 / 13 papers shown
Title
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
49
1
0
08 Jul 2024
Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
28
55
0
25 Jul 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
21
18
0
02 Feb 2023
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
35
32
0
18 Jul 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching
  through Mixed Precision Discretization
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
Menelaos Kanakis
S. Maurer
Matteo Spallanzani
Ajad Chhatkuli
Luc Van Gool
3DPC
29
13
0
07 Mar 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh
Saayan Mitra
Andrew S. Lan
BDL
OffRL
13
2
0
08 Dec 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and
  Beyond
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu
Alahari Karteek
31
12
0
27 Oct 2021
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
36
85
0
15 Jun 2020
Learning with Differentiable Perturbed Optimizers
Learning with Differentiable Perturbed Optimizers
Quentin Berthet
Mathieu Blondel
O. Teboul
Marco Cuturi
Jean-Philippe Vert
Francis R. Bach
29
105
0
20 Feb 2020
Differentiable Convex Optimization Layers
Differentiable Convex Optimization Layers
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
33
638
0
28 Oct 2019
Structured Prediction with Projection Oracles
Structured Prediction with Projection Oracles
Mathieu Blondel
16
32
0
24 Oct 2019
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
29
54
0
27 Sep 2019
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