Dynamic-Memory-Network-Paper-List

The paper list of dynamic memory network This figure is adopted from paper

Graves, Alex, Greg Wayne, and Ivo Danihelka. "Neural turing machines." arXiv preprint arXiv:1410.5401 (2014). Paper, TF Code, PyTorch Code

Graves, Alex, et al. "Hybrid computing using a neural network with dynamic external memory." Nature 538.7626 (2016): 471. Paper, TF Code, Blog

Weston, Jason, Sumit Chopra, and Antoine Bordes. "Memory networks." arXiv preprint arXiv:1410.3916 (2014). Paper, Code

Applications on Natural Language Processing:

Sukhbaatar, Sainbayar, Jason Weston, and Rob Fergus. "End-to-end memory networks." Advances in neural information processing systems. 2015. Paper, PyTorch Code

Kumar, Ankit, et al. "Ask me anything: Dynamic memory networks for natural language processing." International conference on machine learning. 2016. Paper, TF Code, PyTorch Code

Bordes, Antoine, et al. "Large-scale simple question answering with memory networks." arXiv preprint arXiv:1506.02075 (2015). Paper

Tran, Ke, Arianna Bisazza, and Christof Monz. "Recurrent memory networks for language modeling." arXiv preprint arXiv:1601.01272 (2016). Paper

Li, Juzheng, et al. "Textbook question answering under instructor guidance with memory networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper, Code

Applications on Computer Vision:

Yang, Tianyu, and Antoni B. Chan. "Learning dynamic memory networks for object tracking." Proceedings of the European Conference on Computer Vision (ECCV). 2018. Paper, Code

Liu, Boyu, et al. "Mavot: Memory-augmented video object tracking." arXiv preprint arXiv:1711.09414 (2017). Paper, Code

Yuan, Yuan, Dong Wang, and Qi Wang. "Memory-Augmented Temporal Dynamic Learning for Action Recognition." arXiv preprint arXiv:1904.13080 (2019).Paper

Lee, Sangho, et al. "A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper

Cai, Qi, et al. "Memory matching networks for one-shot image recognition." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper

Zhu, Linchao, and Yi Yang. "Compound Memory Networks for Few-shot Video Classification." Proceedings of the European Conference on Computer Vision (ECCV). 2018. Paper

Xiao, Fanyi, and Yong Jae Lee. "Video object detection with an aligned spatial-temporal memory." Proceedings of the European Conference on Computer Vision (ECCV). 2018. Paper, Project, Code

Applications on Cross-domain:

Ma, Chao, et al. "Visual question answering with memory-augmented networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper, [Code]

Li, Guohao, Hang Su, and Wenwu Zhu. "Incorporating external knowledge to answer open-domain visual questions with dynamic memory networks." arXiv preprint arXiv:1712.00733 (2017). Paper, Code

Le, Hung, Truyen Tran, and Svetha Venkatesh. "Dual control memory augmented neural networks for treatment recommendations." Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, Cham, 2018. Paper, Code

Pei, Wenjie, et al. "Memory-Attended Recurrent Network for Video Captioning." arXiv preprint arXiv:1905.03966 (2019).Paper, Code

Fan, Chenyou, et al. "Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering." CVPR-2019, Paper, Code

Xiong, Caiming, Stephen Merity, and Richard Socher. "Dynamic memory networks for visual and textual question answering." International conference on machine learning. 2016. Paper, PyTorch Code

Gao, Jiyang, et al. "Motion-appearance co-memory networks for video question answering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper

Wang, Junbo, et al. "M3: multimodal memory modelling for video captioning." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper

Su, Zhou, et al. "Learning visual knowledge memory networks for visual question answering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. Paper

Zhu, Minfeng, Pingbo Pan, Wei Chen, and Yi Yang. "Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis." In Proceedings of the IEEE CVPR, pp. 5802-5810. 2019, [Paper] [Code]