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Differentiable Dynamic Programming for Structured Prediction and
  Attention

Differentiable Dynamic Programming for Structured Prediction and Attention

11 February 2018
A. Mensch
Mathieu Blondel
ArXivPDFHTML

Papers citing "Differentiable Dynamic Programming for Structured Prediction and Attention"

30 / 30 papers shown
Title
Soft Condorcet Optimization for Ranking of General Agents
Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot
Kate Larson
Michael Kaisers
Quentin Berthet
I. Gemp
Manfred Diaz
Roberto-Rafael Maura-Rivero
Yoram Bachrach
Anna Koop
Doina Precup
44
0
0
31 Oct 2024
Bridging the Gap between Newton-Raphson Method and Regularized Policy
  Iteration
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
Zeyang Li
Chuxiong Hu
Yunan Wang
Guojian Zhan
Jie Li
Shengbo Eben Li
29
0
0
11 Oct 2023
SynJax: Structured Probability Distributions for JAX
SynJax: Structured Probability Distributions for JAX
Miloš Stanojević
Laurent Sartran
SyDa
13
4
0
07 Aug 2023
Leaving the Nest: Going Beyond Local Loss Functions for
  Predict-Then-Optimize
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
Sanket Shah
Andrew Perrault
Bryan Wilder
Milind Tambe
23
9
0
26 May 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
26
8
0
25 May 2023
Twice Regularized Markov Decision Processes: The Equivalence between
  Robustness and Regularization
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
E. Derman
Yevgeniy Men
M. Geist
Shie Mannor
42
1
0
12 Mar 2023
A Noise-tolerant Differentiable Learning Approach for Single Occurrence
  Regular Expression with Interleaving
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
Rongzhen Ye
Tianqu Zhuang
Hai Wan
Jianfeng Du
Weilin Luo
Pingjia Liang
11
2
0
01 Dec 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and Sequences
Lei Wang
Piotr Koniusz
11
33
0
30 Oct 2022
A deep learning network with differentiable dynamic programming for
  retina OCT surface segmentation
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation
Hui Xie
Weiyu Xu
Xiaodong Wu
35
9
0
08 Oct 2022
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
BDL
45
24
0
04 Oct 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting
  Algorithms for Partly Smooth Functions
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions
Sheheryar Mehmood
Peter Ochs
33
3
0
05 Aug 2022
Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDL
DRL
24
4
0
03 May 2022
Fine-grained Temporal Contrastive Learning for Weakly-supervised
  Temporal Action Localization
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
Junyu Gao
Mengyuan Chen
Changsheng Xu
14
66
0
31 Mar 2022
Scaling Structured Inference with Randomization
Scaling Structured Inference with Randomization
Yao Fu
John P. Cunningham
Mirella Lapata
BDL
32
2
0
07 Dec 2021
Approximate Newton policy gradient algorithms
Approximate Newton policy gradient algorithms
Haoya Li
Samarth Gupta
Hsiangfu Yu
Lexing Ying
Inderjit Dhillon
51
2
0
05 Oct 2021
Deep Time Series Forecasting with Shape and Temporal Criteria
Deep Time Series Forecasting with Shape and Temporal Criteria
Vincent Le Guen
Nicolas Thome
AI4TS
32
27
0
09 Apr 2021
Learning Discriminative Prototypes with Dynamic Time Warping
Learning Discriminative Prototypes with Dynamic Time Warping
Xiaobin Chang
Frederick Tung
Greg Mori
AI4TS
32
31
0
17 Mar 2021
AOWS: Adaptive and optimal network width search with latency constraints
AOWS: Adaptive and optimal network width search with latency constraints
Maxim Berman
Leonid Pischulin
N. Xu
Matthew B. Blaschko
Gérard Medioni
33
29
0
21 May 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
23
5
0
30 Apr 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Patrick Knöbelreiter
Christian Sormann
Alexander Shekhovtsov
Friedrich Fraundorfer
T. Pock
33
22
0
13 Mar 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
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
Hossam N. Isack
Christian Haene
Cem Keskin
Sofien Bouaziz
Yuri Boykov
Shahram Izadi
S. Khamis
3DH
30
10
0
10 Feb 2020
Learning to Control PDEs with Differentiable Physics
Learning to Control PDEs with Differentiable Physics
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
44
185
0
21 Jan 2020
Shape and Time Distortion Loss for Training Deep Time Series Forecasting
  Models
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent Le Guen
Nicolas Thome
AI4TS
32
134
0
19 Sep 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
21
235
0
27 Jun 2019
A Fully Differentiable Beam Search Decoder
A Fully Differentiable Beam Search Decoder
R. Collobert
Awni Y. Hannun
Gabriel Synnaeve
15
40
0
16 Feb 2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly
  Supervised Action Alignment and Segmentation
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
C. Chang
De-An Huang
Yanan Sui
Li Fei-Fei
Juan Carlos Niebles
22
156
0
09 Jan 2019
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Metric Learning for Temporal Sequence Alignment
Metric Learning for Temporal Sequence Alignment
Damien Garreau
Rémi Lajugie
Sylvain Arlot
Francis R. Bach
AI4TS
125
57
0
10 Sep 2014
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