Differentiable Dynamic Programming for Structured Prediction and Attention

11 February 2018

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

32 / 32 papers shown

Title
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 Zeyang Li Chuxiong Hu Yunan Wang Guojian Zhan Jie Li Shengbo Eben Li 32 0 0 11 Oct 2023
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 Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 23 9 0 26 May 2023
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 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 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 Lei Wang Piotr Koniusz 11 33 0 30 Oct 2022
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 Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert BDL 45 24 0 04 Oct 2022
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 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 Junyu Gao Mengyuan Chen Changsheng Xu 16 66 0 31 Mar 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 53 54 0 12 Oct 2021
Approximate Newton policy gradient algorithms Haoya Li Samarth Gupta Hsiangfu Yu Lexing Ying Inderjit Dhillon 51 2 0 05 Oct 2021
Representation Learning via Global Temporal Alignment and Cycle-Consistency Isma Hadji Konstantinos G. Derpanis Allan D. Jepson AI4TS 14 54 0 11 May 2021
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 Xiaobin Chang Frederick Tung Greg Mori AI4TS 32 31 0 17 Mar 2021
AOWS: Adaptive and optimal network width search with latency constraints Maxim Berman Leonid Pischulin N. Xu Matthew B. Blaschko Gérard Medioni 35 29 0 21 May 2020
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 Patrick Knöbelreiter Christian Sormann Alexander Shekhovtsov Friedrich Fraundorfer Thomas Pock 36 22 0 13 Mar 2020
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 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 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 Vincent Le Guen Nicolas Thome AI4TS 32 134 0 19 Sep 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 24 235 0 27 Jun 2019
A Fully Differentiable Beam Search Decoder R. Collobert Awni Y. Hannun Gabriel Synnaeve 17 40 0 16 Feb 2019
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 Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017
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 Damien Garreau Rémi Lajugie Sylvain Arlot Francis R. Bach AI4TS 125 57 0 10 Sep 2014