暂无分享,去创建一个
[1] Oren Etzioni,et al. TextRunner: Open Information Extraction on the Web , 2007, NAACL.
[2] Yejin Choi,et al. Baby talk: Understanding and generating simple image descriptions , 2011, CVPR 2011.
[3] Tamara L. Berg,et al. Baby Talk: Understanding and Generating Image Descriptions , 2011 .
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Jason Weston,et al. Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing , 2012, AISTATS.
[6] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[7] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[8] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[9] Quoc V. Le,et al. Grounded Compositional Semantics for Finding and Describing Images with Sentences , 2014, TACL.
[10] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[11] Jürgen Schmidhuber,et al. Deep Networks with Internal Selective Attention through Feedback Connections , 2014, NIPS.
[12] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[13] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[14] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[15] Richard Socher,et al. A Neural Network for Factoid Question Answering over Paragraphs , 2014, EMNLP.
[16] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[17] Xinlei Chen,et al. Learning a Recurrent Visual Representation for Image Caption Generation , 2014, ArXiv.
[18] Donald Geman,et al. Visual Turing test for computer vision systems , 2015, Proceedings of the National Academy of Sciences.
[19] Geoffrey Zweig,et al. From captions to visual concepts and back , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Yuandong Tian,et al. Simple Baseline for Visual Question Answering , 2015, ArXiv.
[21] Kam-Fai Wong,et al. Towards Neural Network-based Reasoning , 2015, ArXiv.
[22] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[23] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[24] Jason Weston,et al. Memory Networks , 2014, ICLR.
[25] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[26] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[27] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[28] Daniel Jurafsky,et al. A Hierarchical Neural Autoencoder for Paragraphs and Documents , 2015, ACL.
[29] Mario Fritz,et al. Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Tomas Mikolov,et al. Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets , 2015, NIPS.
[31] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[32] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[33] Kate Saenko,et al. Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering , 2015, ECCV.
[34] Peng Wang,et al. Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Bohyung Han,et al. Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Richard Socher,et al. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.
[38] Lukasz Kaiser,et al. Neural GPUs Learn Algorithms , 2015, ICLR.
[39] Dan Klein,et al. Learning to Compose Neural Networks for Question Answering , 2016, NAACL.
[40] Lin Ma,et al. Learning to Answer Questions from Image Using Convolutional Neural Network , 2015, AAAI.
[41] Jason Weston,et al. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks , 2015, ICLR.
[42] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).