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 226–250 of 639 papers

TitleStatusHype
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Fast View Synthesis with Deep Stereo Vision—0
Classical Structured Prediction Losses for Sequence to Sequence Learning—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
Generalization Analysis on Learning with a Concurrent Verifier—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker—0
Geometric Matrix Completion with Deep Conditional Random Fields—0
Global Model for Hierarchical Multi-Label Text Classification—0
Gradient-based Inference for Networks with Output Constraints—0
Fairness constraints can help exact inference in structured prediction—0
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction—0
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning—0
Canonical Correlation Inference for Mapping Abstract Scenes to Text—0
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)—0
Grounded Video Situation Recognition—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—0
An open-source tool for negation detection: a maximum-margin approach—0
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
Explaining Fast Improvement in Online Imitation Learning—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified