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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 639 papers

TitleStatusHype
Gray-box inference for structured Gaussian process models—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Hands-on Learning to Search for Structured Prediction—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Explaining Fast Improvement in Online Imitation Learning—0
Deeply Learning the Messages in Message Passing Inference—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—0
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning—0
Fairness constraints can help exact inference in structured prediction—0
Deep Learning in Lexical Analysis and Parsing—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
Deep imitation learning for molecular inverse problems—0
Fast View Synthesis with Deep Stereo Vision—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
Feature Noising for Log-Linear Structured Prediction—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
Approximate Inference in Structured Instances with Noisy Categorical Observations—0
Few-Shot Learning Through an Information Retrieval Lens—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss—0
Backpropagation of Unrolled Solvers with Folded Optimization—0
A Structured Prediction Approach for Missing Value Imputation—0
Show:102550
← PrevPage 9 of 26Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified