Seminar

일시 제목 발제자 관련 논문
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 Group_Regularized_CNN 김은지
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).
2017-07-17 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).
2017-06-01 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 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 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
2016-12-23 Detecting Topics Affecting Volatilities of Sectors In Standard & Poor's Depositary Receipts Using Financial News Sentiment Analysis 전성환
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
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
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
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
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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