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Structured Prediction

84 papers with code · Methodology

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Latest papers with code

Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models

28 May 2020thu-spmi/JSA

Although with progress in introducing auxiliary amortized inference models, learning discrete latent variable models is still challenging.

LATENT VARIABLE MODELS STRUCTURED PREDICTION

0
28 May 2020

Active Imitation Learning with Noisy Guidance

26 May 2020xkianteb/leaqi

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

3
26 May 2020

Structured Prediction with Partial Labelling through the Infimum Loss

2 Mar 2020VivienCabannes/infimum_loss

Annotating datasets is one of the main costs in nowadays supervised learning.

STRUCTURED PREDICTION

0
02 Mar 2020

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

19 Feb 2020namisan/mt-dnn

We present MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models.

MULTI-TASK LEARNING NATURAL LANGUAGE UNDERSTANDING STRUCTURED PREDICTION

1,375
19 Feb 2020

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

ICLR 2020 wouterkool/estimating-gradients-without-replacement

We derive an unbiased estimator for expectations over discrete random variables based on sampling without replacement, which reduces variance as it avoids duplicate samples.

STRUCTURED PREDICTION

17
14 Feb 2020

Torch-Struct: Deep Structured Prediction Library

3 Feb 2020harvardnlp/pytorch-struct

The literature on structured prediction for NLP describes a rich collection of distributions and algorithms over sequences, segmentations, alignments, and trees; however, these algorithms are difficult to utilize in deep learning frameworks.

STRUCTURED PREDICTION

705
03 Feb 2020

LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction

13 Jan 2020deep-spin/lp-sparsemap

Structured prediction requires manipulating a large number of combinatorial structures, e. g., dependency trees or alignments, either as latent or output variables.

STRUCTURED PREDICTION

10
13 Jan 2020

A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning

NeurIPS 2019 TorchCraft/TorchCraftAI

While centralized reinforcement learning methods can optimally solve small MAC instances, they do not scale to large problems and they fail to generalize to scenarios different from those seen during training.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STRUCTURED PREDICTION

590
01 Dec 2019

Structured Prediction with Projection Oracles

NeurIPS 2019 mblondel/projection-losses

We identify the marginal polytope, the output space's convex hull, as the best convex set on which to project.

STRUCTURED PREDICTION

13
01 Dec 2019