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Structured Prediction

49 papers with code · Methodology

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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 Nov 2016tensorflow/models

The essence of the trick is to refactor each stochastic node into a differentiable function of its parameters and a random variable with fixed distribution.

DENSITY ESTIMATION STRUCTURED PREDICTION

Convolutional Pose Machines

CVPR 2016 CMU-Perceptual-Computing-Lab/openpose

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.

POSE ESTIMATION STRUCTURED PREDICTION

Classical Structured Prediction Losses for Sequence to Sequence Learning

HLT 2018 pytorch/fairseq

There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning-style methods or by optimizing the beam.

ABSTRACTIVE TEXT SUMMARIZATION MACHINE TRANSLATION STRUCTURED PREDICTION

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing

NeurIPS 2018 crazydonkey200/neural-symbolic-machines

We present Memory Augmented Policy Optimization (MAPO), a simple and novel way to leverage a memory buffer of promising trajectories to reduce the variance of policy gradient estimate.

COMBINATORIAL OPTIMIZATION PROGRAM SYNTHESIS SEMANTIC PARSING STRUCTURED PREDICTION

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

ACL 2017 crazydonkey200/neural-symbolic-machines

Harnessing the statistical power of neural networks to perform language understanding and symbolic reasoning is difficult, when it requires executing efficient discrete operations against a large knowledge-base.

FEATURE ENGINEERING STRUCTURED PREDICTION

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

EMNLP 2017 iesl/dilated-cnn-ner

Today when many practitioners run basic NLP on the entire web and large-volume traffic, faster methods are paramount to saving time and energy costs.

NAMED ENTITY RECOGNITION (NER) STRUCTURED PREDICTION

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

18 Jul 2017fartashf/vsepp

We present a new technique for learning visual-semantic embeddings for cross-modal retrieval.

CROSS-MODAL RETRIEVAL IMAGE RETRIEVAL STRUCTURED PREDICTION

Input Convex Neural Networks

ICML 2017 locuslab/icnn

We show that many existing neural network architectures can be made input-convex with a minor modification, and develop specialized optimization algorithms tailored to this setting.

STRUCTURED PREDICTION

Structured prediction models for RNN based sequence labeling in clinical text

EMNLP 2016 abhyudaynj/LSTM-CRF-models

In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks.

NAMED ENTITY RECOGNITION (NER) STRUCTURED PREDICTION

Learning with Fenchel-Young Losses

8 Jan 2019mblondel/fenchel-young-losses

Over the past decades, numerous loss functions have been been proposed for a variety of supervised learning tasks, including regression, classification, ranking, and more generally structured prediction.

STRUCTURED PREDICTION