| 2019-05-16 |
Learning to Understand Phrases by embedding the Dictionary |
이혜진 |
Hill, F., Cho, K., Korhonen, A., & Bengio, Y. (2016). Learning to Understand Phrases by Embedding the Dictionary. Transactions of the Association for Computational Linguistics, 4, 17-30. |
| 2019-05-16 |
You Only Look Once series review |
김누리 |
You Only Look Once: Unified, Real-Time Object Detection |
| 2019-05-03 |
Weakly Supervised Object Detection |
강인혜 |
B. Zhou, A. Khosla, L. A., A. Oliva, and A. Torralba. Learning Deep Features for Discriminative Localization. In CVPR, 2016 |
| 2019-04-19 |
Active learning of convolutional neural network for cost-effective wafer map pattern classification |
심재웅 |
|
| 2019-04-05 |
robust anomaly detection with autoencoder |
이제혁 |
Anomaly detection with robust deep autoencoders |
| 2019-04-05 |
Explainable Neural Computation via Stack Neural Module Networks |
안진원 |
Hu, Ronghang, et al. "Explainable neural computation via stack neural module networks." Proceedings of the European Conference on Computer Vision (ECCV). 2018. |
| 2019-04-05 |
Get To The Point: Summarization with Pointer-Generator Networks |
선지민 |
Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017) |
| 2019-02-18 |
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets |
박지혜 |
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Advances in Neural Information Processing Systems (NIPS), pp. 2172–2180, 2016. |
| 2019-02-11 |
learning to compare : relation network for few-shot learning |
심재웅 |
learning to compare : relation network for few-shot learning |
| 2019-01-21 |
Deep Neural Networks for YouTube Recommendations |
김누리 |
|
| 2019-01-07 |
DensePose: Dense Human Pose Estimation In The Wild |
신승훈 |
Alp Güler, R., Neverova, N., & Kokkinos, I. (2018). Densepose: Dense human pose estimation in the wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. |
| 2019-01-07 |
Spatial Transformer Networks |
박지혜 |
Jaderberg, Max, Karen Simonyan, and Andrew Zisserman. 'Spatial transformer networks.' Advances in neural information processing systems. 2015. |
| 2018-11-09 |
Fake Face Detection using Content Feature Extractor and Trace Feature Extractor |
김은지 |
|
| 2018-10-16 |
Continuous with deep reinforcement learning |
이형욱 |
|
| 2018-09-07 |
Deep generative model for multiple face swapping |
김은지 |
|
| 2018-08-13 |
Space oddysey of Word2Vec |
김현중 |
Levy, O., Goldberg, Y., & Dagan, I. (2015). Improving distributional similarity with lessons learned from word embeddings. Transactions of the Association for Computational Linguistics, 3, 211-225. |
| 2018-08-13 |
Interpretable classification models for recidivism prediction |
박봉준 |
Interpretable classification models for recidivism prediction |
| 2018-08-13 |
Variational Inference with Normalizing flows |
안진원 |
Variational Inference with Normalizing flows |
| 2018-08-06 |
Fixing a Broken ELBO |
김지영 |
Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy,"Fixing a Broken ELBO";Proceedings of the 35th International Conference on Machine Learning, PMLR 80:159-168, 2018. |
| 2018-08-06 |
A Two-Step Disentanglement Method |
류성원 |
Hadad, Naama, Lior Wolf, and Moni Shahar. "A Two-Step Disentanglement Method." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. |
| 2018-08-06 |
Unsupervised Deep Embedding for Clustering Analysis |
박노일 |
Junyuan Xie, Ross Girshick, and Ali Farhadi. 2016. Unsupervised deep embedding for clustering analysis. In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (ICML'16), Maria Florina Balcan and Kilian Q. Weinberger (Eds.), Vol. 48. JMLR.org 478-487. |
| 2018-08-02 |
Anomaly detection with GAN(AnoGAN) |
신훈식 |
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery |
| 2018-07-31 |
Unsupervised Word Influencer Networks from News Streams |
전성환 |
Balashankar, Ananth, Sunandan Chakraborty, and Lakshminarayanan Subramanian. "Unsupervised Word Influencer Networks from News Streams." ACL 2018 (2018): 62. |
| 2018-07-31 |
Rainbow: Combining Improvements in Deep Reinforcement Learning |
강연국 |
Rainbow: Combining Improvements in Deep Reinforcement Learning |
| 2018-07-26 |
Variational Inference with Normalizing flows |
안진원 |
Huang, Xun, et al. "Multimodal Unsupervised Image-to-Image Translation." arXiv preprint arXiv:1804.04732 (2018). |
| 2018-07-26 |
Model compression |
안용대 |
Li, Zhe, et al. "SEP-Nets: Small and effective pattern networks." arXiv preprint arXiv:1706.03912 (2017). |
| 2018-07-24 |
Named Entity Recognition using Conditional Random Field |
김현중 |
|
| 2018-07-24 |
GDPR |
이형욱 |
general data protection regulation |
| 2018-06-25 |
DeepPose: Human Pose Estimation |
신승훈 |
DeepPose: Human Pose Estimation via Deep Neural Networks |
| 2018-06-18 |
Matching Networks for One Shot Learning |
김지영 |
Matching Networks for One Shot Learning |
| 2018-06-18 |
Disentangling Sequential Data |
류성원 |
Hsu, Wei-Ning, Yu Zhang, and James Glass. "Unsupervised learning of disentangled and interpretable representations from sequential data." Advances in neural information processing systems. 2017. |
| 2018-06-01 |
Matching Networks for One Shot Learning |
김지영 |
|
| 2018-06-01 |
Detecting and Explaining Causes From Text For a Time Series Event |
전성환 |
Kang, Dongyeop, et al. "Detecting and Explaining Causes From Text For a Time Series Event." Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017. |
| 2018-05-08 |
Mobilenets: Efficient convolutional neural networks for mobile vision applications |
안용대 |
Howard, Andrew G., et al. "Mobilenets: Efficient convolutional neural networks for mobile vision applications." arXiv preprint arXiv:1704.04861 (2017). |
| 2018-05-04 |
Knowledge Distillation using Attentive Tutor |
김도형 |
Hinton, Geoffrey, Oriol Vinyals, and Jeff Dean. "Distilling the knowledge in a neural network." arXiv preprint arXiv:1503.02531 (2015). |
| 2018-05-04 |
Multi-Agent Reinforcement Learning : Overview & Cooperative view |
강연국 |
Multi-agent reinforcement learning: An overview ; Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments |
| 2018-05-04 |
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions |
박노일 |
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick: Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML 2017: 3881-3890 |
| 2018-04-13 |
3D Mesh |
양효창 |
Semi-supervised classification with graph convolutional networks. |
| 2018-04-06 |
Space oddysey of Word2Vec |
김현중 |
Mu, J., Bhat, S., & Viswanath, P. (2017). All-but-the-top: Simple and effective postprocessing for word representations. arXiv preprint arXiv:1702.01417. |
| 2018-04-06 |
Semi-supervised learning with GANs |
이제혁 |
Triple Generative Adversarial Nets |
| 2018-03-30 |
Paper Reviews in Visual Attention |
정민기 |
Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu, 2014, NIPS. "Recurrent Models of Visual Attention" |
| 2018-03-30 |
Linux 101 |
전성환 |
|
| 2018-03-23 |
BEGAN: Boundary Equilibrium GAN |
이제혁 |
BEGAN: Boundary Equilibrium Generative Adversarial Networks |
| 2018-03-23 |
Deep compression |
안용대 |
Han, Song, Huizi Mao, and William J. Dally. "Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding." arXiv preprint arXiv:1510.00149 (2015). |
| 2018-03-15 |
Discovering minor topics using document clustering |
김현중 |
|
| 2018-03-15 |
WGAN applications |
안진원 |
Arjovsky, Martin, Soumith Chintala, and Léon Bottou. "Wasserstein generative adversarial networks." International Conference on Machine Learning. 2017. |
| 2018-02-27 |
Dynamic Memory Networks and Dynamic Memory Networks Plus |
이형욱 |
Kumar, Ankit, et al. "Ask me anything: Dynamic memory networks for natural language processing." International Conference on Machine Learning. 2016. |
| 2018-02-27 |
Ask the Right Question: Active Question Reformulation with Reinforcement Learning |
류성원 |
Buck, Christian, et al. "Ask the right questions: Active question reformulation with reinforcement learning." arXiv preprint arXiv:1705.07830 (2017). |
| 2018-02-21 |
Inverse Reinforcement Learning (& Imitation Learning) |
강연국 |
Algorithm for Inverse Reinforcement Learning (2000, Ng)Apprenticeship Learning via Inverse Reinforcement Learning (2004, Abbeel & Ng) |
| 2018-02-21 |
MaskGAN: Better Text Generation via Filling in the ______ |
김지영 |
Fedus, William, Ian Goodfellow, and Andrew M. Dai. "MaskGAN: Better Text Generation via Filling in the _." arXiv preprint arXiv:1801.07736 (2018). |
| 2018-02-21 |
A Duet Neural Document Ranking Model |
박노일 |
Bhaskar Mitra, Fernando Diaz, and Nick Craswell. 2017. Learning to Match using Local and Distributed Representations of Text for Web Search. In Proceedings of the 26th International Conference on World Wide Web (WWW '17). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1291-1299. DOI: https://doi.org/10.1145/3038912.3052579 |
| 2018-02-13 |
Learning with Side Information through Modality Hallucination |
김도형 |
Hoffman, Judy, Saurabh Gupta, and Trevor Darrell. "Learning with side information through modality hallucination." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016. |
| 2018-02-13 |
Semantic Image Inpainting |
정민기 |
Raymond A, et al. "Semantic Image Inpainting with Deep Generative Models", CVPR 2017 |
| 2018-02-05 |
Tag to 3D Object Generation with Voxel Representation |
양효창 |
Tag to 3D Object Generation with Voxel Representation |
| 2018-02-05 |
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks |
전성환 |
Tang, Jian, Meng Qu, and Qiaozhu Mei. "Pte: Predictive text embedding through large-scale heterogeneous text networks." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2015. |
| 2018-02-05 |
Disentangling Factors of Variation using Adversarial Training |
안진원 |
Mathieu, Michael F., et al. "Disentangling factors of variation in deep representation using adversarial training." Advances in Neural Information Processing Systems. 2016. |
| 2018-01-29 |
Personalized deep learning-based driving destination prediction |
김은지 |
Artificial Neural Networks Applied to Taxi Destination Prediction |
| 2018-01-15 |
AlphaGo Zero |
강연국 |
Mastering the Game of Go without Human Knowledge (2017 Nature) |
| 2018-01-08 |
GloVe: Global Vectors for Word Representation |
박노일 |
Pennington, Jeffrey & Socher, Richard & Manning, Christoper. (2014). Glove: Global Vectors for Word Representation. EMNLP. 14. 1532-1543. 10.3115/v1/D14-1162. |
| 2018-01-03 |
k-means for document clustering |
김현중 |
|
| 2017-12-04 |
Edge Device 向 Iiot Data 분석 알고리즘 확보 및 공정 모델링 |
김도형 |
Squeezed Convolutional Variational AutoEncoder: Unsupervised Anomaly Detection for Edge Computing in Manufacturing Data |
| 2017-12-04 |
Decoupling Learning Process for Real Time Service : What I have Learned & What I do in Riiid! |
신동민 |
Jaderberg, Max, et al. "Decoupled neural interfaces using synthetic gradients." arXiv preprint arXiv:1608.05343 (2016). |
| 2017-11-27 |
Distance-based Self-Attention Network for Natural Language Inference |
임진배 |
Shen, Tao, et al. "Disan: Directional self-attention network for rnn/cnn-free language understanding." arXiv preprint arXiv:1709.04696 (2017). |
| 2017-11-20 |
WaveNet : A Generative Model for Raw Audio |
민동영 |
Oord, Aaron van den, et al. "Wavenet: A generative model for raw audio." arXiv preprint arXiv:1609.03499 (2016). |
| 2017-11-20 |
SplitNet |
박인범 |
Kim, Juyong, et al. "SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization." International Conference on Machine Learning. 2017. |
| 2017-11-13 |
CapsuleNet |
정민기 |
Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, "Dynamic Routing Between Capsules", 10, 2017, Arxiv. |
| 2017-11-06 |
Neural Programmer-Interpreters |
양효창 |
Neural Programmer-Interpreters |
| 2017-10-10 |
End-to-end goal oriented dialog model |
김태욱 |
Bordes, Antoine, and Jason Weston. "Learning end-to-end goal-oriented dialog." arXiv preprint arXiv:1605.07683 (2016). |
| 2017-10-10 |
Teacher-Student learning |
안용대 |
Sau, Bharat Bhusan, and Vineeth N. Balasubramanian. "Deep Model Compression: Distilling Knowledge from Noisy Teachers." arXiv preprint arXiv:1610.09650 (2016). |
| 2017-09-18 |
KATE: K-Competitive Autoencoder for Text |
전성환 |
Yu Chen and Mohammed J. Zaki. 2017. KATE: K-Competitive Autoencoder for Text. In Proceedings of KDD ’17, Halifax, NS, Canada, August 13-17, 2017 |
| 2017-09-18 |
|
|
|
| 2017-09-18 |
Group_Regularized_CNN |
김은지 |
|
| 2017-08-16 |
Smart Factory in Semiconductor Manufacturing |
강연국 |
|
| 2017-08-09 |
LSTM Networks for Anomaly Detection in Time Series |
박노일 |
Malhotra, Pankaj & Vig, Lovekesh & Shroff, Gautam & Agarwal, Puneet. (2015). Long Short Term Memory Networks for Anomaly Detection in Time Series. . |
| 2017-08-07 |
You only look once: Unified, real-time object detection |
김도형 |
Redmon, Joseph, et al. "You only look once: Unified, real-time object detection." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016. |
| 2017-08-02 |
Domain Transfer Network |
양효창 |
Unsupervised Cross-Domain Image Generation |
| 2017-08-02 |
Understanding R-CNN Family |
정민기 |
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick. "Mask R-CNN", arXiv preprint arXiv:1703.06870(2017) |
| 2017-07-31 |
Pixel Recurrent Neural Networks |
민동영 |
Oord, Aaron van den, Nal Kalchbrenner, and Koray Kavukcuoglu. "Pixel recurrent neural networks." arXiv preprint arXiv:1601.06759 (2016). |
| 2017-07-26 |
Differentiable Neural Computer |
문지형 |
Graves, Alex, et al. "Hybrid computing using a neural network with dynamic external memory." Nature 538.7626 (2016): 471-476. |
| 2017-07-26 |
End to End Memory Networks |
박인범 |
Sukhbaatar, Sainbayar, Jason Weston, and Rob Fergus. "End-to-end memory networks." Advances in neural information processing systems. 2015. |
| 2017-07-24 |
Attention Is All You Need |
임진배 |
Vaswani, Ashish, et al. "Attention Is All You Need." arXiv preprint arXiv:1706.03762 (2017). |
| 2017-07-19 |
Structural Deep Network Embedding |
전성환 |
Wang, Daixin, Peng Cui, and Wenwu Zhu. "Structural deep network embedding." Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2016. |
| 2017-07-17 |
Transfer learning |
안용대 |
Choi, Keunwoo, et al. "Transfer learning for music classification and regression tasks." arXiv preprint arXiv:1703.09179 (2017). |
| 2017-07-10 |
A Simple Neural Network Module for Relational Reasoning |
안진원 |
Santoro, Adam, et al. "A simple neural network module for relational reasoning." arXiv preprint arXiv:1706.01427 (2017). |
| 2017-07-10 |
Artificial Neural Networks Applied to Taxi Destination Prediction |
김은지 |
De Brébisson, Alexandre, et al. "Artificial neural networks applied to taxi destination prediction." arXiv preprint arXiv:1508.00021 (2015). |
| 2017-06-08 |
Dictionary based tokenizer |
김현중 |
Open Korean Text |
| 2017-06-08 |
Probabilistic Embeddings |
신동민 |
Athiwaratkun, Ben, and Andrew Gordon Wilson. "Multimodal Word Distributions." arXiv preprint arXiv: 1704.08424 (2017). |
| 2017-06-01 |
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding |
김도형 |
Han, Song, Huizi Mao, and William J. Dally. "Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding." arXiv preprint arXiv:1510.00149 (2015). |
| 2017-06-01 |
CNN Best Architectures: From LeNet to ResNet |
정민기 |
|
| 2017-05-18 |
DRAW(Deep Recurrent Attentive Writer) |
양효창 |
Gregor, Karol, et al. "DRAW: A recurrent neural network for image generation." arXiv preprint arXiv:1502.04623 (2015). |
| 2017-05-18 |
Applications of Matrix Completion in Text Mining |
민동영 |
|
| 2017-05-16 |
Optimization for Deep Learning and Batch Normalization |
박인범 |
Ioffe, Sergey, and Christian Szegedy. "Batch normalization: Accelerating deep network training by reducing internal covariate shift." arXiv preprint arXiv:1502.03167 (2015). |
| 2017-05-11 |
Collaborative Filtering using Heterogeneous data |
문지형 |
Zhang, Fuzheng, et al. "Collaborative knowledge base embedding for recommender systems." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016. |
| 2017-05-11 |
A Structured Self-Attentive Sentence Embedding |
임진배 |
Lin, Zhouhan, et al. "A Structured Self-attentive Sentence Embedding." In Proceedings of the 5th International Conference on Learning Representations (ICLR), 2017. |
| 2017-05-02 |
Community Structure in Large Networks Natural Cluster Sizes and the Absence of Large Well Defined Clusters |
전성환 |
Leskovec, Jure, et al. "Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters." Internet Mathematics 6.1 (2009): 29-123. |
| 2017-04-20 |
Regularizing Text Categorization with clusters of words |
신훈식 |
Skianis, Konstantinos, François Rousseau, and Michalis Vazirgiannis. "Regularizing Text Categorization with Clusters of Words." science 79: 691. |
| 2017-04-20 |
Interpretable Decision Sets: A Joint Framework for Description and Prediction |
김태욱 |
Lakkaraju, Himabindu, Stephen H. Bach, and Jure Leskovec. "Interpretable decision sets: A joint framework for description and prediction." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016. |
| 2017-04-18 |
Representation Learning Based Categorical Data Imputation |
안진원, 김태욱 |
Nishanth, Kancherla Jonah, and Vadlamani Ravi. "Probabilistic neural network based categorical data imputation." Neurocomputing 218 (2016): 17-25. |
| 2017-04-18 |
Transfer learning |
안용대 |
Bousmalis, Konstantinos, et al. "Domain separation networks." Advances in Neural Information Processing Systems. 2016. |
| 2017-04-13 |
Online Handwriting Generation |
김은지 |
Carter, et al., "Experiments in Handwriting with a Neural Network", Distill, 2016. http://doi.org/10.23915/distill.00004 |
| 2017-04-13 |
Generalization in deep learning |
이제혁 |
Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2016). Understanding deep learning requires rethinking generalization. arXiv preprint arXiv:1611.03530. |
| 2017-04-11 |
Google News Lab Fellowship 16/17 - PROJECT_O |
신동민 |
- |
| 2017-04-11 |
Inverted indexer for query expansion |
김현중 |
Anastasiu, David C., and George Karypis. "L2ap: Fast cosine similarity search with prefix l-2 norm bounds." Data Engineering (ICDE), 2014 IEEE 30th International Conference on. IEEE, 2014. |
| 2017-04-04 |
Conditional Generative Adversarial Nets |
김도형 |
Mirza, Mehdi, and Simon Osindero. "Conditional generative adversarial nets." arXiv preprint arXiv:1411.1784 (2014). |
| 2017-04-04 |
GUMA(Generalized Unsupervised Manifold Alignment) |
정민기 |
Zhen Cui, Hong Chang, Shiguang Shan, Xilin Chen, Generalized Unsupervised Manifold Alignment, NIPS, 2014 |
| 2017-03-21 |
Adversarial Learning for Neural Dialogue Generation |
문지형 |
Li, Jiwei, et al. "Adversarial Learning for Neural Dialogue Generation." arXiv preprint arXiv:1701.06547 (2017). |
| 2017-03-21 |
Matrix Completion for Weakly-supervised Multi-label Image Classification |
민동영 |
Cabral, Ricardo, et al. "Matrix completion for weakly-supervised multi-label image classification." IEEE transactions on pattern analysis and machine intelligence 37.1 (2015): 121-135. |
| 2017-03-16 |
Teaching Machines to Read and Comprehend |
송석민 |
Hermann, Karl Moritz, et al. "Teaching machines to read and comprehend." Advances in Neural Information Processing Systems. 2015. |
| 2017-03-16 |
Review Networks for Caption Generation |
임진배 |
Yang, Zhilin, et al. "Review networks for caption generation." Advances in Neural Information Processing Systems. 2016. |
| 2017-03-14 |
SeqGAN : Sequence Generative Adversarial Nets with Policy Gradients |
양효창 |
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient |
| 2017-03-14 |
Seq2seq Learning and Attention Mechanism |
박인범 |
Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. "Neural machine translation by jointly learning to align and translate." arXiv preprint arXiv:1409.0473 (2014) |
| 2017-03-09 |
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data |
전성환 |
Zhang, Hao, Gunhee Kim, and Eric P. Xing. "Dynamic topic modeling for monitoring market competition from online text and image data." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2015. |
| 2017-03-09 |
Text-Based Network Industries and Endogenous Product Differentiation |
이혜진 |
Gerard Hoberg and Gordon Phillips. (2016) "Text-Based Network Industries and Endogenous Product Differentiation". Journal of Political Economy 124 (5), 1423–1465. |
| 2017-02-27 |
Generating Sequences with Recurrent Neural Networks |
안진원 |
Graves, Alex. "Generating sequences with recurrent neural networks." arXiv preprint arXiv:1308.0850 (2013). |
| 2017-02-27 |
Image Colorization |
신훈식 |
MLA Zhang, Richard, Phillip Isola, and Alexei A. Efros. "Colorful image colorization." European Conference on Computer Vision. Springer International Publishing, 2016. |
| 2017-02-23 |
Rationalizing Neural Predictions |
김태욱 |
Lei, Tao, Regina Barzilay, and Tommi Jaakkola. "Rationalizing neural predictions." arXiv preprint arXiv:1606.04155 (2016). |
| 2017-02-23 |
Zero-shot learning |
안용대 |
Lei Ba, Jimmy, Kevin Swersky, and Sanja Fidler. "Predicting deep zero-shot convolutional neural networks using textual descriptions." Proceedings of the IEEE International Conference on Computer Vision. 2015. |
| 2017-02-20 |
Graph Embedding |
이제혁 |
Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., & Mei, Q. (2015, May). Line: Large-scale information network embedding. In Proceedings of the 24th International Conference on World Wide Web (pp. 1067-1077). ACM. |
| 2017-02-20 |
Detecting Credit Card Frauds with Deep Neural Network Models |
김은지 |
- |
| 2017-02-16 |
Approximated Neighbor Search for Sparse Vector |
김현중 |
Anastasiu, David C., and George Karypis. "L2ap: Fast cosine similarity search with prefix l-2 norm bounds." Data Engineering (ICDE), 2014 IEEE 30th International Conference on. IEEE, 2014. |
| 2017-02-16 |
Deep Convolutional Generative Adversarial Networks |
김도형 |
Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial networks." arXiv preprint arXiv:1511.06434 (2015). |
| 2017-02-09 |
Generative Adversarial Nets |
양효창 |
Goodfellow, Ian, et al. "Generative adversarial nets." Advances in neural information processing systems. 2014. |
| 2017-02-09 |
A* Pathfinding Algorithm |
정민기 |
Bryan Stout, 1997, Game Developer Magazine: Smart Moves: Intelligent Pathfinding |
| 2017-02-07 |
Convolutional Neural Network & Recurrent Convolutional Neural Network |
박인범 |
Donahue, Jeffrey, et al. "Long-term recurrent convolutional networks for visual recognition and description." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015. |
| 2017-02-07 |
A Persona-Based Neural Conversation Model |
문지형 |
Li, Jiwei, et al. "A Persona-Based Neural Conversation Model." Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 994–1003, 2016 |
| 2017-02-02 |
Deep Reinforcement Learning for Dialogue Generation |
김태욱 |
Li, Jiwei, et al. "Deep reinforcement learning for dialogue generation." arXiv preprint arXiv:1606.01541 (2016). |
| 2017-02-02 |
Robust Ensemble Clustering by Matrix Completion |
민동영 |
Yi, Jinfeng, et al. "Robust ensemble clustering by matrix completion." Data Mining (ICDM), 2012 IEEE 12th International Conference on. IEEE, 2012. |
| 2017-01-26 |
Inferring Networks of Substitutable and Complementary Products |
전성환 |
McAuley, Julian, Rahul Pandey, and Jure Leskovec. "Inferring networks of substitutable and complementary products." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2015. |
| 2017-01-26 |
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora |
이혜진 |
Hamilton, W., J. Leskovec, and D. Jurafsky. "Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora". Empirical Methods on Natural Language Processing; EMNLP, (2016) |
| 2017-01-23 |
Adaptive, Personalized Diviersity for Visual Discovery |
송석민 |
Teo, Choon Hui, et al. "Adaptive, Personalized Diversity for Visual Discovery." Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016 |
| 2017-01-23 |
A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification |
임진배 |
Yunlun Yang, Yunhai Tong, Shulei Ma, and Zhi-Hong Deng. 2016. A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-5, 2016 |
| 2017-01-19 |
Sequential Root Cause Identification in High Dimensional Time Series |
김은지 |
Eunji Kim, et al., Sequential Root Cause Identification in High Dimensional Time-series Sensor Data, ACML Workshop on Learning on Big Data, 2016 |
| 2017-01-19 |
eXtreme Gradient Boosting (XGBoost) |
안용대 |
Chen, Tianqi, and Carlos Guestrin. "Xgboost: A scalable tree boosting system." Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016. |
| 2017-01-16 |
Evolution of Latent Variable Model for Sequential Data |
안진원 |
Chung, Junyoung, et al. "A recurrent latent variable model for sequential data." Advances in neural information processing systems. 2015. |
| 2016-12-23 |
Deep Learning for Politically-themed Stocks Analysis |
임진배 |
Kim, Yoon. "Convolutional neural networks for sentence classification." arXiv preprint arXiv:1408.5882 (2014). |
| 2016-12-23 |
데이터 기반 영화 개봉 주 토요일 관객수 예측 |
안용대 |
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| 2016-12-23 |
Detecting Topics Affecting Volatilities of Sectors In Standard & Poor's Depositary Receipts Using Financial News Sentiment Analysis |
전성환 |
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| 2016-12-23 |
Latent Feature Learning by Various Autoencoders |
안진원 |
Kingma, Diederik P., and Max Welling. "Auto-encoding variational bayes." arXiv preprint arXiv:1312.6114 (2013). |
| 2016-12-23 |
통화정책방향문 분석 |
김미숙 |
Bholat, David M., et al. "Text mining for central banks." (2015). |
| 2016-12-16 |
Fuzzy Concept Clustering of KOSPI Listed Companies |
민동영 |
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| 2016-12-16 |
Predicting Building Energy Consumption Using Recurrent Neural Network |
박인범 |
Zaremba, Wojciech. "An empirical exploration of recurrent network architectures." (2015). |
| 2016-12-16 |
Jaso-level Convolutional Neural Networks for Sentiment Analysis : The Case of Korean Movie Reviews |
문지형 |
Zhang, Xiang, Junbo Zhao, and Yann LeCun. "Character-level convolutional networks for text classification." Advances in Neural Information Processing Systems. 2015. |
| 2016-12-01 |
Deep Content-based Music Recommendation |
이제혁 |
Van den Oord, Aaron, Sander Dieleman, and Benjamin Schrauwen. "Deep content-based music recommendation." Advances in Neural Information Processing Systems. 2013. |
| 2016-12-01 |
Building Retrieval-based Chatbot |
김현중 |
|
| 2016-11-03 |
Neural Variational Document Model |
임진배 |
Miao, Yishu, Lei Yu, and Phil Blunsom. "Neural variational inference for text processing." Proc. ICML. 2016. |
| 2016-11-03 |
Predicting Volatilities of Sectors In Thomson Reuters Business Classification Using Financial News Sentiment Analysis and Literature Survey of Sentiment Analysis |
전성환 |
Schumaker, Robert P., and Hsinchun Chen. "Textual analysis of stock market prediction using breaking financial news: The AZFin text system." ACM Transactions on Information Systems (TOIS) 27.2 (2009): 12. |
| 2016-10-27 |
Why Should I Trust You Explaining the Predictions of Any Classifier |
김태욱 |
Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. "" Why Should I Trust You?": Explaining the Predictions of Any Classifier." arXiv preprint arXiv:1602.04938 (2016). |
| 2016-10-20 |
Class Imbalance Problem |
신훈식 |
Jeatrakul, Piyasak, Kok Wai Wong, and Chun Che Fung. "Classification of imbalanced data by combining the complementary neural network and SMOTE algorithm." International Conference on Neural Information Processing. Springer Berlin Heidelberg, 2010. |
| 2016-10-13 |
One-class Support Tensor Machine |
김은지 |
Chen, Yanyan, Kuaini Wang, and Ping Zhong. "One-Class Support Tensor Machine." Knowledge-Based Systems 96 (2016): 14-28. |
| 2016-10-13 |
Variational Autoencoder |
안진원 |
Kingma, Diederik P., and Max Welling. "Auto-encoding variational bayes." arXiv preprint arXiv:1312.6114 (2013). |
| 2016-10-07 |
Embedding & Loss functions |
조현창 |
Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. |
| 2016-10-06 |
Topic Models with Word Embeddings |
양호성 |
Cao, Ziqiang, et al. "A Novel Neural Topic Model and Its Supervised Extension." AAAI. 2015. |
| 2016-10-06 |
Context-based Music Recommendation : Graph-embedding-based Approach |
이제혁 |
Chung, Chia-Hao, Jing-Kai Lou, and Homer Chen. "A LATENT REPRESENTATION OF USERS, SESSIONS, AND SONGS FOR LISTENING BEHAVIOR ANALYSIS.", ISMIR 2016. |
| 2016-09-29 |
Fuzzy Clustering of Time Series Data Using Dynamic Time Warping Distance |
민동영 |
Izakian, Hesam, Witold Pedrycz, and Iqbal Jamal. "Fuzzy clustering of time series data using dynamic time warping distance." Engineering Applications of Artificial Intelligence 39 (2015): 235-244. |
| 2016-09-29 |
Understanding the concept of LDA (2) Sampling Based Inference |
문지형 |
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| 2016-09-22 |
Neural Variational Inference for Text Processing |
임진배 |
Miao, Yishu, Lei Yu, and Phil Blunsom. "Neural variational inference for text processing." Proc. ICML. 2016. |
| 2016-09-22 |
Understanding the Concept of LDA (1) From Probabilistic Graphical Model to Model Inference |
문지형 |
Blei, David M. "Probabilistic topic models." Communications of the ACM 55.4 (2012): 77-84. |
| 2016-08-31 |
Analysis of BEMS(Building Energy Management System) Sensor data |
박인범 |
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| 2016-08-31 |
Density-based Clustering |
안용대 |
Campello, Ricardo JGB, Davoud Moulavi, and Jörg Sander. "Density-based clustering based on hierarchical density estimates." Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2013. |
| 2016-08-17 |
Something-2-Vec |
양호성 |
Mikolov, Tomas, et al. "Efficient estimation of word representations in vector space." arXiv preprint arXiv:1301.3781 (2013). |
| 2016-08-09 |
Speech Recognition by CNN |
이제혁 |
Abdel-Hamid, Ossama, et al. "Convolutional neural networks for speech recognition." IEEE/ACM Transactions on audio, speech, and language processing 22.10 (2014): 1533-1545. |
| 2016-08-03 |
Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach |
이혜진 |
Wang, Hongning, Yue Lu, and Chengxiang Zhai. "Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach". In Proceedings of the 16th ACM SIGKDD. ACM, (2010) |
| 2016-07-27 |
Yinyang K-means |
박인범 |
Ding, Yufei, et al. "Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup." Proceedings of the 32nd International Conference on Machine Learning (ICML-15). 2015. |
| 2016-07-27 |
Spectral Clustering |
안용대 |
Von Luxburg, Ulrike. "A tutorial on spectral clustering." Statistics and computing 17.4 (2007): 395-416. |
| 2016-07-27 |
Memory Networks |
송석민 |
Weston, Jason, Sumit Chopra, and Antoine Bordes. "Memory networks." arXiv preprint arXiv:1410.3916 (2014). |
| 2016-07-20 |
Drawing and Recognizing Chinese Characters with Recurrent Neural Network |
임진배 |
Zhang, Xu-Yao, et al. "Drawing and Recognizing Chinese Characters with Recurrent Neural Network." arXiv preprint arXiv:1606.06539 (2016). |
| 2016-07-14 |
Shape Based Similarity Measure for Time Series Data |
민동영 |
Nakamura, Tetsuya, et al. "A shape-based similarity measure for time series data with ensemble learning." Pattern Analysis and Applications 16.4 (2013): 535-548. |
| 2016-07-08 |
Infinite Ensemble for Image Clustering |
안용대 |
Liu, Hongfu, et al. "Infinite Ensemble for Image Clustering.", KDD 2016 |
| 2016-07-04 |
Continuous Experience-aware Language Model |
양호성 |
Mukherjee, Subhabrata, Stephan Günnemann, and Gerhard Weikum. "Continuous Experience-aware Language Model.", KDD 2016 |
| 2016-05-26 |
Improving the Way Neural Network Learns |
김태욱 |
Bengio, Yoshua. "Practical recommendations for gradient-based training of deep architectures." Neural Networks: Tricks of the Trade. Springer Berlin Heidelberg, 2012. 437-478. |
| 2016-05-26 |
Kernal Principal Component Analysis |
신훈식 |
Schölkopf, Bernhard, Alexander Smola, and Klaus-Robert Müller. "Kernel principal component analysis." International Conference on Artificial Neural Networks. Springer Berlin Heidelberg, 1997. |
| 2016-05-26 |
Automatic Classification of Securities using Hierarchical Clustering of 10-Ks |
이혜진 |
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| 2016-05-04 |
Convolutional Neural Networks for NLP |
양호성 |
Kim, Yoon. "Convolutional neural networks for sentence classification." arXiv preprint arXiv:1408.5882 (2014). |
| 2016-03-23 |
AlphaGo |
김태욱 |
Silver, David, et al. "Mastering the game of Go with deep neural networks and tree search." Nature 529.7587 (2016): 484-489. |
| 2016-03-11 |
Introduction to Spark |
양호성 |
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민동영 |
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