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Greatest papers with code

Discrete Autoencoders for Sequence Models

ICLR 2018 tensorflow/tensor2tensor

We propose to improve the representation in sequence models by augmenting current approaches with an autoencoder that is forced to compress the sequence through an intermediate discrete latent space.

HIERARCHICAL STRUCTURE LANGUAGE MODELLING MACHINE TRANSLATION

Benchmarking Deep Reinforcement Learning for Continuous Control

22 Apr 2016rll/rllab

Recently, researchers have made significant progress combining the advances in deep learning for learning feature representations with reinforcement learning.

ATARI GAMES CONTINUOUS CONTROL HIERARCHICAL STRUCTURE

Poincaré Embeddings for Learning Hierarchical Representations

NeurIPS 2017 facebookresearch/poincare-embeddings

Representation learning has become an invaluable approach for learning from symbolic data such as text and graphs.

GRAPH EMBEDDING HIERARCHICAL STRUCTURE

Skeleton-Aware Networks for Deep Motion Retargeting

12 May 2020DeepMotionEditing/deep-motion-editing

In other words, our operators form the building blocks of a new deep motion processing framework that embeds the motion into a common latent space, shared by a collection of homeomorphic skeletons.

HIERARCHICAL STRUCTURE MOTION CAPTURE MOTION RETARGETING MOTION SYNTHESIS

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

22 Dec 2016soroushmehr/sampleRNN_ICLR2017

In this paper we propose a novel model for unconditional audio generation based on generating one audio sample at a time.

AUDIO GENERATION HIERARCHICAL STRUCTURE

Meta-Learning for Semi-Supervised Few-Shot Classification

ICLR 2018 y2l/meta-transfer-learning-tensorflow

To address this paradigm, we propose novel extensions of Prototypical Networks (Snell et al., 2017) that are augmented with the ability to use unlabeled examples when producing prototypes.

HIERARCHICAL STRUCTURE META-LEARNING OMNIGLOT

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

23 Sep 2016ZJULearning/nsg

In this paper, we propose EFANNA, an extremely fast approximate nearest neighbor search algorithm based on $k$NN Graph.

GRAPH CONSTRUCTION HIERARCHICAL STRUCTURE

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System

ICLR 2021 budzianowski/multiwoz

We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.

HIERARCHICAL REINFORCEMENT LEARNING HIERARCHICAL STRUCTURE TASK-ORIENTED DIALOGUE SYSTEMS

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

ICLR 2020 sacmehta/delight

For sequence models with large vocabularies, a majority of network parameters lie in the input and output layers.

4 HIERARCHICAL STRUCTURE MACHINE TRANSLATION WORD EMBEDDINGS

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

6 Apr 2019santi-pdp/pase

Learning good representations without supervision is still an open issue in machine learning, and is particularly challenging for speech signals, which are often characterized by long sequences with a complex hierarchical structure.

DISTANT SPEECH RECOGNITION HIERARCHICAL STRUCTURE