LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured
Prediction

LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction

13 January 2020

André F. T. Martins

Papers citing "LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction"

6 / 6 papers shown

Title
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert BDL 48 24 0 04 Oct 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
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik R. Narasimhan Danqi Chen AAML 29 40 0 25 Apr 2022
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference Aaron Courville Kewei Tu 26 1 0 07 Apr 2022
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016