Learning by Asking Questions
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Martial Hebert | Abhinav Gupta | Laurens van der Maaten | Ross B. Girshick | Rob Fergus | Ishan Misra | L. V. D. Maaten | A. Gupta | R. Fergus | M. Hebert | Ishan Misra | L. Maaten
[1] Linton G. Freeman,et al. Elementary Applied Statistics for students in Behavioral Science , 1965 .
[2] John R. Anderson,et al. MACHINE LEARNING An Artificial Intelligence Approach , 2009 .
[3] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[4] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[5] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[6] Yoav Freund,et al. Active learning for visual object recognition , 2005 .
[7] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[8] Trevor Darrell,et al. Active Learning with Gaussian Processes for Object Categorization , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[9] John Langford,et al. The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information , 2007, NIPS.
[10] Fei-Fei Li,et al. Towards Scalable Dataset Construction: An Active Learning Approach , 2008, ECCV.
[11] Nikolaos Papanikolopoulos,et al. Multi-class active learning for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[13] Kathryn E. Merrick,et al. Motivated Reinforcement Learning - Curious Characters for Multiuser Games , 2009 .
[14] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[15] Abhinav Gupta,et al. Beyond active noun tagging: Modeling contextual interactions for multi-class active learning , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[17] Wei Chu,et al. A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.
[18] Kristen Grauman,et al. Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds , 2011, CVPR 2011.
[19] Zoubin Ghahramani,et al. Bayesian Active Learning for Classification and Preference Learning , 2011, ArXiv.
[20] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[21] Sébastien Bubeck,et al. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems , 2012, Found. Trends Mach. Learn..
[22] Xin Li,et al. Adaptive Active Learning for Image Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Joaquin Quiñonero Candela,et al. Counterfactual reasoning and learning systems: the example of computational advertising , 2013, J. Mach. Learn. Res..
[24] Pierre-Yves Oudeyer,et al. Active learning of inverse models with intrinsically motivated goal exploration in robots , 2013, Robotics Auton. Syst..
[25] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[26] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[27] Jürgen Leitner,et al. Curiosity driven reinforcement learning for motion planning on humanoids , 2014, Front. Neurorobot..
[28] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[29] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[30] Rauf Izmailov,et al. Learning using privileged information: similarity control and knowledge transfer , 2015, J. Mach. Learn. Res..
[31] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[32] Jonghyun Choi,et al. Knowledge Transfer with Interactive Learning of Semantic Relationships , 2016, AAAI.
[33] Gordon Christie,et al. Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions , 2016, EMNLP.
[34] Basura Fernando,et al. SPICE: Semantic Propositional Image Caption Evaluation , 2016, ECCV.
[35] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Allan Jabri,et al. Revisiting Visual Question Answering Baselines , 2016, ECCV.
[38] Yash Goyal,et al. Yin and Yang: Balancing and Answering Binary Visual Questions , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Dan Klein,et al. Learning to Compose Neural Networks for Question Answering , 2016, NAACL.
[40] Margaret Mitchell,et al. Generating Natural Questions About an Image , 2016, ACL.
[41] Francis Ferraro,et al. Visual Storytelling , 2016, NAACL.
[42] Eric P. Xing,et al. Easy Questions First? A Case Study on Curriculum Learning for Question Answering , 2016, ACL.
[43] Joshua B. Tenenbaum,et al. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , 2016, NIPS.
[44] Michael S. Bernstein,et al. Visual7W: Grounded Question Answering in Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Razvan Pascanu,et al. A simple neural network module for relational reasoning , 2017, NIPS.
[46] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Alexei A. Efros,et al. Curiosity-Driven Exploration by Self-Supervised Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[48] Li Fei-Fei,et al. Inferring and Executing Programs for Visual Reasoning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[49] Tong Wang,et al. A Joint Model for Question Answering and Question Generation , 2017, ArXiv.
[50] Ruslan Salakhutdinov,et al. Semi-Supervised QA with Generative Domain-Adaptive Nets , 2017, ACL.
[51] Silvio Savarese,et al. A Geometric Approach to Active Learning for Convolutional Neural Networks , 2017, ArXiv.
[52] Trevor Darrell,et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[53] Todd M. Gureckis,et al. Question Asking as Program Generation , 2017, NIPS.
[54] Philip Bachman,et al. Deep Reinforcement Learning that Matters , 2017, AAAI.
[55] Aaron C. Courville,et al. FiLM: Visual Reasoning with a General Conditioning Layer , 2017, AAAI.
[56] Feng Liu,et al. iVQA: Inverse Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[57] Anselm Rothe,et al. Do People Ask Good Questions? , 2018 .
[58] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.