SOTAVerified

Structured Prediction

Structured Prediction is an area of machine learning focusing on representations of spaces with combinatorial structure, and algorithms for inference and parameter estimation over these structures. Core methods include both tractable exact approaches like dynamic programming and spanning tree algorithms as well as heuristic techniques such as linear programming relaxations and greedy search.

Source: Torch-Struct: Deep Structured Prediction Library

Papers

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Showing 281–290 of 639 papers

TitleStatusHype
Learning Beam Search Policies via Imitation LearningCode0
Robust Spoken Term Detection Automatically Adjusted for a Given Threshold—0
Learning Discriminators as Energy Networks in Adversarial Learning—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Better Transition-Based AMR Parsing with a Refined Search Space—0
Semantics as a Foreign Language—0
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology ImagesCode0
Efficient Structured Surrogate Loss and Regularization in Structured Prediction—0
Quantum Algorithms for Structured Prediction—0
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in SanskritCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified