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Structured Prediction

55 papers with code ยท Methodology

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The Differentiable Cross-Entropy Method

ICLR 2020

We study the Cross-Entropy Method (CEM) for the non-convex optimization of a continuous and parameterized objective function and introduce a differentiable variant (DCEM) that enables us to differentiate the output of CEM with respect to the objective function's parameters.

CONTINUOUS CONTROL STRUCTURED PREDICTION

Learning Likelihoods with Conditional Normalizing Flows

ICLR 2020

Normalizing Flows (NFs) are able to model complicated distributions p(y) with strong inter-dimensional correlations and high multimodality by transforming a simple base density p(z) through an invertible neural network under the change of variables formula.

STRUCTURED PREDICTION SUPER RESOLUTION

Improving and Stabilizing Deep Energy-Based Learning

ICLR 2020

Deep energy-based models are powerful, but pose challenges for learning and inference (Belanger & McCallum, 2016).

STRUCTURED PREDICTION

Text2Math: End-to-end Parsing Text into Math Expressions

15 Oct 2019

We propose Text2Math, a model for semantically parsing text into math expressions.

STRUCTURED PREDICTION

On the Dualization of Operator-Valued Kernel Machines

10 Oct 2019

Operator-Valued Kernels (OVKs) and Vector-Valued Reproducing Kernel Hilbert Spaces (vv-RKHSs) provide an elegant way to extend scalar kernel methods when the output space is a Hilbert space.

REPRESENTATION LEARNING STRUCTURED PREDICTION

Type-aware Convolutional Neural Networks for Slot Filling

1 Oct 2019

In particular, we explore different ways of integrating the named entity types of the relation arguments into a neural network for relation classification, including a joint training and a structured prediction approach.

COREFERENCE RESOLUTION RELATION CLASSIFICATION SLOT FILLING STRUCTURED PREDICTION

The Differentiable Cross-Entropy Method

27 Sep 2019

We study the Cross-Entropy Method (CEM) for the non-convex optimization of a continuous and parameterized objective function and introduce a differentiable variant (DCEM) that enables us to differentiate the output of CEM with respect to the objective function's parameters.

CONTINUOUS CONTROL STRUCTURED PREDICTION

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction

2 Sep 2019

We propose a joint event and temporal relation extraction model with shared representation learning and structured prediction.

RELATION EXTRACTION REPRESENTATION LEARNING STRUCTURED PREDICTION

Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker

WS 2019

In this paper we argue that treating the prediction of each slot value as an independent prediction task may ignore important associations between the slot values, and, consequently, we argue that treating dialogue state tracking as a structured prediction problem can help to improve dialogue state tracking performance.

DIALOGUE STATE TRACKING STRUCTURED PREDICTION

Learning Rich Representations For Structured Visual Prediction Tasks

30 Aug 2019

We describe an approach to learning rich representations for images, that enables simple and effective predictors in a range of vision tasks involving spatially structured maps.

SEMANTIC SEGMENTATION STRUCTURED PREDICTION