暂无分享,去创建一个
[1] 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).
[2] A. Krishnakumar. Active Learning Literature Survey , 2007 .
[3] Zoubin Ghahramani,et al. Deep Bayesian Active Learning with Image Data , 2017, ICML.
[4] Silvio Savarese,et al. Active Learning for Convolutional Neural Networks: A Core-Set Approach , 2017, ICLR.
[5] Xiao Lin,et al. Leveraging Visual Question Answering for Image-Caption Ranking , 2016, ECCV.
[6] Christopher Kanan,et al. Visual question answering: Datasets, algorithms, and future challenges , 2016, Comput. Vis. Image Underst..
[7] José M. F. Moura,et al. Visual Dialog , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Jonathan Krause,et al. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition , 2015, ECCV.
[9] Jiasen Lu,et al. Hierarchical Question-Image Co-Attention for Visual Question Answering , 2016, NIPS.
[10] Jianfeng Gao,et al. Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation , 2017, IJCNLP.
[11] Stefan Lee,et al. Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[12] Wei Xu,et al. Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question , 2015, NIPS.
[13] Donald Geman,et al. Visual Turing test for computer vision systems , 2015, Proceedings of the National Academy of Sciences.
[14] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[15] Russell Greiner,et al. Optimistic Active-Learning Using Mutual Information , 2007, IJCAI.
[16] Gordon Christie,et al. Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions , 2016, EMNLP.
[17] Jiri Matas,et al. Systematic evaluation of convolution neural network advances on the Imagenet , 2017, Comput. Vis. Image Underst..
[18] Stefan Lee,et al. The Promise of Premise: Harnessing Question Premises in Visual Question Answering , 2017, EMNLP.
[19] Zoubin Ghahramani,et al. Bayesian Active Learning for Classification and Preference Learning , 2011, ArXiv.
[20] Hugo Larochelle,et al. GuessWhat?! Visual Object Discovery through Multi-modal Dialogue , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[22] Julien Cornebise,et al. Weight Uncertainty in Neural Network , 2015, ICML.
[23] Margaret Mitchell,et al. Generating Natural Questions About an Image , 2016, ACL.
[24] Silvio Savarese,et al. A Geometric Approach to Active Learning for Convolutional Neural Networks , 2017, ArXiv.
[25] Xiaolong Wang,et al. Active Deep Networks for Semi-Supervised Sentiment Classification , 2010, COLING.
[26] Yash Goyal,et al. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Andrew McCallum,et al. Toward Optimal Active Learning through Monte Carlo Estimation of Error Reduction , 2001, ICML 2001.
[28] Andreas Krause,et al. Near Optimal Bayesian Active Learning for Decision Making , 2014, AISTATS.
[29] Benjamin Van Durme,et al. Reporting bias and knowledge acquisition , 2013, AKBC '13.
[30] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[31] Olivier Pietquin,et al. End-to-end optimization of goal-driven and visually grounded dialogue systems , 2017, IJCAI.
[32] Richard S. Zemel,et al. Exploring Models and Data for Image Question Answering , 2015, NIPS.
[33] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[34] J. Lafferty,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.