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FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot

Show and tell: A neural image caption generator

inferredcites →https://doi.org/10.1109/icassp.2019.8683143openalex-snapshot

Waveglow: A Flow-based Generative Network for Speech Synthesis

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Insertion-based Decoding with Automatically Inferred Generation Order

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Graphical Models, Exponential Families, and Variational Inference

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Non-Autoregressive Machine Translation with Auxiliary Regularization

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Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior

inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot

A Neural Attention Model for Abstractive Sentence Summarization

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Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

inferredcites →https://doi.org/10.18653/v1/d18-1336openalex-snapshot

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification

inferredcites →https://doi.org/10.18653/v1/k16-1002openalex-snapshot

Generating Sentences from a Continuous Space

inferredcites →https://doi.org/10.18653/v1/k16-1006openalex-snapshot

context2vec: Learning Generic Context Embedding with Bidirectional LSTM

inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

inferredcites →https://doi.org/10.18653/v1/n19-4009openalex-snapshot

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

inferredcites →https://doi.org/10.18653/v1/p18-1130openalex-snapshot

Stack-Pointer Networks for Dependency Parsing

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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

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AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.48550/arxiv.1505.05770openalex-snapshot

Variational Inference with Normalizing Flows

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Importance Weighted Autoencoders

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Density Estimation Using Real NVP

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Non-Autoregressive Neural Machine Translation

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MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders

inferredcites →https://doi.org/10.48550/arxiv.1901.10548openalex-snapshot

Latent Normalizing Flows for Discrete Sequences

inferredcites →https://doi.org/10.48550/arxiv.1902.03249openalex-snapshot

Insertion Transformer: Flexible Sequence Generation via Insertion Operations

inferredcites →https://doi.org/10.48550/arxiv.1902.07816openalex-snapshot

Mixture Models for Diverse Machine Translation: Tricks of the Trade

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Attention Is All You Need

What points at this work

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Non-Autoregressive Neural Dialogue Generation

inferred← citeshttps://doi.org/10.48550/arxiv.2008.02516openalex-snapshot

FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire

inferred← citeshttps://doi.org/10.48550/arxiv.2010.09194openalex-snapshot

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

inferred← citeshttps://doi.org/10.48550/arxiv.2010.13047openalex-snapshot

Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder

inferred← citeshttps://doi.org/10.48550/arxiv.2010.13270openalex-snapshot

Improved Mask-CTC for Non-Autoregressive End-to-End ASR

inferred← citeshttps://doi.org/10.48550/arxiv.2011.04266openalex-snapshot

BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention

inferred← citeshttps://doi.org/10.48550/arxiv.2101.00828openalex-snapshot

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

inferred← citeshttps://doi.org/10.48550/arxiv.2102.03216openalex-snapshot

Intermediate Loss Regularization for CTC-based Speech Recognition

inferred← citeshttps://doi.org/10.48550/arxiv.2102.05624openalex-snapshot

NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting

inferred← citeshttps://doi.org/10.48550/arxiv.2106.06103openalex-snapshot

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

inferred← citeshttps://doi.org/10.48550/arxiv.2107.03298openalex-snapshot

VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis

inferred← citeshttps://doi.org/10.48550/arxiv.2108.12522openalex-snapshot

Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP

inferred← citeshttps://doi.org/10.48550/arxiv.2108.12575openalex-snapshot

Goal-driven text descriptions for images

inferred← citeshttps://doi.org/10.70675/4743aa15z209az4addz8f29z95150aa230b8openalex-snapshot

Analysis and control of online interactions through neural natural language processing

inferred← citeshttps://doi.org/10.70675/97c82c7ez86c5z4bdbza801z12232614c776openalex-snapshot

Une alternative aux modèles neuronaux séquence-à-séquence pour la traduction automatique

inferred← citeshttps://doi.org/10.70675/f942ee6bzc6e6z47e4zbdbezea1b30beab75openalex-snapshot

Writing in two languages : Neural machine translation as an assistive bilingual writing tool

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