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Structured Prediction

82 papers with code ยท Methodology

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Active Imitation Learning with Noisy Guidance

26 May 2020

Imitation learning algorithms provide state-of-the-art results on many structured prediction tasks by learning near-optimal search policies.

ACTIVE LEARNING IMITATION LEARNING STRUCTURED PREDICTION

Large scale evaluation of importance maps in automatic speech recognition

21 May 2020

In this paper, we propose a metric that we call the structured saliency benchmark (SSBM) to evaluate importance maps computed for automatic speech recognizers on individual utterances.

SPEECH RECOGNITION STRUCTURED PREDICTION

Learning Composable Energy Surrogates for PDE Order Reduction

13 May 2020

We use a neural network to model the stored potential energy in a component given boundary conditions.

STRUCTURED PREDICTION

The Structured Weighted Violations MIRA

9 May 2020

We present the Structured Weighted Violation MIRA (SWVM), a new structured prediction algorithm that is based on an hybridization between MIRA (Crammer and Singer, 2003) and the structured weighted violations perceptron (SWVP) (Dror and Reichart, 2016).

CHUNKING NAMED ENTITY RECOGNITION STRUCTURED PREDICTION

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition

29 Apr 2020

Interpretable rationales for model predictions play a critical role in practical applications.

NAMED ENTITY RECOGNITION STRUCTURED PREDICTION

Energy Disaggregation with Semi-supervised Sparse Coding

20 Apr 2020

Residential smart meters have been widely installed in urban houses nationwide to provide efficient and responsive monitoring and billing for consumers.

STRUCTURED PREDICTION

Calibrating Structured Output Predictors for Natural Language Processing

9 Apr 2020

Additionally, we show that our calibration method can also be used as an uncertainty-aware, entity-specific decoding step to improve the performance of the underlying model at no additional training cost or data requirements.

CALIBRATION NAMED ENTITY RECOGNITION QUESTION ANSWERING STRUCTURED PREDICTION

A Structured Prediction Approach for Conditional Meta-Learning

20 Feb 2020

We propose task-adaptive structured meta-learning (TASML), a principled estimator that weighs meta-training data conditioned on the target task to design tailored meta-learning objectives.

FEW-SHOT LEARNING STRUCTURED PREDICTION

Learning with Differentiable Perturbed Optimizers

20 Feb 2020

These perturbed optimizers yield solutions that are differentiable and never locally constant.

STRUCTURED PREDICTION

Uncertainty in Structured Prediction

18 Feb 2020

Uncertainty estimation is important for ensuring safety and robustness of AI systems, especially for high-risk applications.

IMAGE CLASSIFICATION MACHINE TRANSLATION SPEECH RECOGNITION STRUCTURED PREDICTION