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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
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2018
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Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Jay Gould
Lei Zhang
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3
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Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
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2018
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Xihui Liu
Hongsheng Li
Jing Shao
Dapeng Chen
Xiaogang Wang
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3
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CIDEr: Consensus-based image description evaluation
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2015
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Ramakrishna Vedantam
C. Lawrence Zitnick
Devi Parikh
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A Call for Clarity in Reporting BLEU Scores
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2018
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Matt Post
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Learning Phrase Representations using RNN EncoderâDecoder for Statistical Machine Translation
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2014
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Kyunghyun Cho
Bart van Merriënboer
Ăaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
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Show and tell: A neural image caption generator
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2015
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Oriol Vinyals
Alexander Toshev
Samy Bengio
Dumitru Erhan
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SPICE: Semantic Propositional Image Caption Evaluation
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2016
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Peter Anderson
Basura Fernando
Mark Johnson
Stephen Jay Gould
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3
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Unsupervised Image Captioning
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2019
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Yang Feng
Lin Ma
Wei Liu
Jiebo Luo
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Neural Machine Translation Training in a Multi-Domain Scenario
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2017
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Hassan Sajjad
Nadir Durrani
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Yonatan Belinkov
Stephan Vogel
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Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
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2017
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Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
Zbigniew Wojna
Yang Song
Sergio Guadarrama
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Unpaired Image Captioning by Language Pivoting
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2018
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Jiuxiang Gu
Shafiq Joty
Jianfei Cai
Gang Wang
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Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
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2019
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Dong-Jin Kim
Jinsoo Choi
Tae-Hyun Oh
In So Kweon
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Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
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2017
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Jiasen Lu
Caiming Xiong
Devi Parikh
Richard Socher
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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nocaps: novel object captioning at scale
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2019
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Harsh Agrawal
Peter Anderson
Karan Desai
Yufei Wang
Xinlei Chen
Rishabh Jain
Mark Johnson
Dhruv Batra
Devi Parikh
Stefan Lee
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Captioning Images with Diverse Objects
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2017
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Subhashini Venugopalan
Lisa Anne Hendricks
Marcus Rohrbach
Raymond J. Mooney
Trevor Darrell
Kate Saenko
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Towards Unsupervised Image Captioning With Shared Multimodal Embeddings
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2019
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Iro Laina
Christian Rupprecht
Nassir Navab
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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2017
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Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
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2016
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Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
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The Open Images Dataset V4: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale
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2020
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Alina Kuznetsova
Hassan Rom
Neil Alldrin
Jasper Uijlings
Ivan Krasin
Jordi Pont-Tuset
Shahab Kamali
Stefan Popov
Matteo Malloci
Alexander Kolesnikov
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Convolutional Sequence to Sequence Learning
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2017
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Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann Dauphin
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Deep visual-semantic alignments for generating image descriptions
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2015
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Andrej Karpathy
Li Fei-Fei
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Unpaired Image Captioning via Scene Graph Alignments
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2019
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Jiuxiang Gu
Shafiq Joty
Jianfei Cai
Handong Zhao
Xu Yang
Gang Wang
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On the Impact of Various Types of Noise on Neural Machine Translation
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2018
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Huda Khayrallah
Philipp Koehn
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Identity Mappings in Deep Residual Networks
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
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2016
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Yonghui Wu
Mike Schuster
Zhifeng Chen
Quoc V. Le
Mohammad Norouzi
Wolfgang Macherey
Maxim Krikun
Yuan Cao
Qin Gao
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Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards
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2019
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Yuqing Song
Shizhe Chen
Yida Zhao
Qin Jin
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Identifying Semantic Divergences in Parallel Text without Annotations
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2018
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Yogarshi Vyas
Xing Niu
Marine Carpuat
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Compositional Generalization in Image Captioning
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2019
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Mitja Nikolaus
Mostafa Abdou
Matthew Lamm
Rahul Aralikatte
Desmond Elliott
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ćukasz Kaiser
Illia Polosukhin
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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Partially-Supervised Image Captioning
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2018
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Peter Anderson
Stephen Jay Gould
Mark Johnson
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1
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Context-Aware Neural Machine Translation Learns Anaphora Resolution
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2018
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Elena Voita
Pavel Serdyukov
Rico Sennrich
Ivan Titov
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Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
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2018
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Xihui Liu
Hongsheng Li
Jing Shao
Dapeng Chen
Xiaogang Wang
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1
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VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
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2017
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Fartash Faghri
David J. Fleet
Jamie Kiros
Sanja Fidler
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Complex Embeddings for Simple Link Prediction
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Théo Trouillon
Johannes Welbl
Sebastian Riedel
Ăric Gaussier
Guillaume Bouchard
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Unsupervised Machine Translation Using Monolingual Corpora Only
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2017
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Guillaume Lample
Alexis Conneau
Ludovic Denoyer
MarcâAurelio Ranzato
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Deep Reinforcement Learning for Dialogue Generation
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2016
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Jiwei Li
Will Monroe
Alan Ritter
Dan Jurafsky
Michel Galley
Jianfeng Gao
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Contrastive Learning for Image Captioning
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2017
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Bo Dai
Dahua Lin
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A Three-Way Model for Collective Learning on Multi-Relational Data
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2011
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Volker Tresp
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Self-Critical Sequence Training for Image Captioning
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2017
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Steven J. Rennie
Etienne Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
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Towards Diverse and Natural Image Descriptions via a Conditional GAN
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2017
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Bo Dai
Sanja Fidler
Raquel Urtasun
Dahua Lin
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Convolutional 2D Knowledge Graph Embeddings
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2018
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Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
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Multi-Reward Reinforced Summarization with Saliency and Entailment
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2018
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Ramakanth Pasunuru
Mohit Bansal
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Improving Lexical Choice in Neural Machine Translation
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2018
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Toan Nguyen
David Chiang
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Neural Machine Translation with Extended Context
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2017
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Jörg Tiedemann
Yves Scherrer
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Does Neural Machine Translation Benefit from Larger Context?
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2017
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SĂ©bastien Jean
Stanislas Lauly
Orhan Fırat
Kyunghyun Cho
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Neural Machine Translation of Rare Words with Subword Units
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2016
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Rico Sennrich
Barry Haddow
Alexandra Birch
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Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
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2017
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Jan Niehues
Eunah Cho
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