“Reading table”版本间的差异
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*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf] | *semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf] | ||
|- | |- | ||
+ | |- | ||
+ | |2015/07/22 ||Dong Wang|| | ||
+ | *From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf] | ||
+ | *[[Asr-read-icml|Reading list for ICML2015]] | ||
+ | |- | ||
+ | |2015/07/29 ||Xiaoxi Wang|| | ||
+ | * Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf] | ||
+ | * Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf] | ||
+ | |- | ||
+ | |2015/08/05 ||Tianyi Luo|| | ||
+ | * A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]] | ||
+ | |- | ||
+ | |2015/08/05 ||Dongxu Zhang|| | ||
+ | * Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf] | ||
+ | * Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition. | ||
+ | * Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation. | ||
+ | |- | ||
+ | |2015/08/07 ||Chao Xing|| | ||
+ | * Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]] | ||
+ | * Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]] | ||
+ | |- | ||
+ | |2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing|| | ||
+ | * MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]] | ||
+ | * End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]] | ||
+ | |- | ||
+ | |2015/10/20 ||Tianyi Luo, Xiaoxi Wang|| | ||
+ | * The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]] | ||
+ | * The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]] | ||
+ | * Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]] | ||
+ | |- | ||
+ | |2015/10/28 ||Lantian Li|| | ||
+ | * Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]] | ||
+ | |- | ||
+ | |2015/11/05 || Chao Xing, Xiaoxi Wang|| | ||
+ | * Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]] | ||
+ | * Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]] | ||
+ | |- | ||
+ | |2015/11/20 || qixinWang|| | ||
+ | * Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]] | ||
+ | * m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]] | ||
+ | * PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]] | ||
+ | |- | ||
+ | |2015/11/27 || Xiaoxi Wang|| | ||
+ | * NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]] | ||
+ | * Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/11/27 || Chao Xing || | ||
+ | *Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]] | ||
+ | *SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing || | ||
+ | *Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]] | ||
+ | *Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]] | ||
+ | *Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/12/11 || Chao Xing, Yiqiao Pan || | ||
+ | *Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]] | ||
+ | *SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]] | ||
+ | *Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]] | ||
+ | *Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/12/18 || Tianyi Luo, Dongxu Zhang || | ||
+ | *Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]] | ||
+ | *Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]] | ||
+ | *Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/12/25 || Dongxu zhang, Qixin Wang || | ||
+ | *Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]] | ||
+ | *learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2015/12/31 || Xiaoxi Wang, Chao Xing|| | ||
+ | * Multilingual Language Processing From Bytes [[http://arxiv.org/pdf/1512.00103v1.pdf pdf]] | ||
+ | * Towards universal neural nets: Gibbs machines and ACE. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Report-12-31.pdf pdf]] | ||
+ | |- | ||
+ | |- | ||
+ | |2016/1/8 || Qixin Wang, Tianyi Luo|| | ||
+ | *Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a1/Unveiling_the_Dreams_of_Word_Embeddings-_Towards_Language-Driven_Image_Generation.pdf pdf]] | ||
+ | *Generating Chinese Couplets using a Statistical MT Approach[[http://aclweb.org/anthology/C/C08/C08-1048.pdf pdf]] | ||
+ | *Generating Chinese Classical Poems with Statistical Machine Translation Models[[http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4753/5314 pdf]] | ||
+ | *Chinese Poetry Generation with Recurrent Neural Networks[[http://www.aclweb.org/old_anthology/D/D14/D14-1074.pdf pdf]] | ||
+ | |- | ||
+ | |2016/1/15 || Chao Xing|| | ||
+ | *Learning from Chris Dyer [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cd/Learning_From_Chris_Dyer.pptx ppt]] | ||
+ | *Learning Word Representations with Hierarchical Sparse Coding [[http://arxiv.org/pdf/1406.2035v2.pdf pdf]] | ||
+ | *Non-distributional Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-nondist.pdf pdf]] | ||
+ | *Sparse Overcomplete Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-overcomplete.pdf pdf]] | ||
+ | |- | ||
+ | |2016/1/22 || Qixin Wang, Tianyi Luo|| | ||
+ | *Skip_thought_vector [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Skip_thought_vector.pdf pdf]] | ||
+ | |- | ||
+ | |2016/1/29 || Dongxu Zhang|| | ||
+ | *Towards Neural Network-based Reasoning[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cb/Towards_Neural_Network-based_Reasoning.pdf]] | ||
+ | |- | ||
+ | |2016/3/25 || Jiyuan Zhang|| | ||
+ | *Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[[http://www-etud.iro.umontreal.ca/~boulanni/ICML2012.pdf pdf]] | ||
+ | *Composing Music With Recurrent Neural Networks[[http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/ blog]] | ||
+ | |- | ||
+ | |2016/4/1 || Chao Xing|| | ||
+ | *Generating Text with Deep Reinforcement Learning[[http://arxiv.org/pdf/1510.09202v1.pdf pdf]] | ||
+ | |- | ||
+ | |2016/4/8 || Tianyi Luo|| | ||
+ | *Generating Chinese Classical Poems with RNN[[http://nlp.hivefire.com/articles/share/56982/]] | ||
+ | |- | ||
+ | |2016/4/28 || Chao Xing|| | ||
+ | *Knowledge Base Completion via Search-Based Question Answering [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/Knowledge_Base_Completion_via_Search-Based_Question_Answering_-_Report.pdf]] | ||
+ | *Open Domain Question Answering via Semantic Enrichment [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/Open_Domain_Question_Answering_via_Semantic_Enrichment_-_Report.pdf]] | ||
+ | *A Neural Conversational Model [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/A_Neural_Conversational_Model_-_Report.pdf]] | ||
+ | |- | ||
+ | |2016/5/11 || Chao Xing|| | ||
+ | *A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion | ||
+ | *A Neural Network Approach to Context-Sensitive Generation of Conversational Responses | ||
+ | *Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models | ||
+ | *Neural Responding Machine for Short-Text Conversation | ||
+ | *Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems | ||
+ | |- | ||
+ | |2016/7/28 || Aiting Liu || | ||
+ | *Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]] | ||
+ | |- | ||
+ | |2016/8/4 || | ||
+ | * Aodong Li | ||
+ | * Jiyuan Zhang | ||
+ | * Andi Zhang | ||
+ | || | ||
+ | *On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5b/On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/51/2.0On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings_.pdf slides]] | ||
+ | *ABCNN- Attention-Based Convolutional Neural Network for Modeling Sentence Pairs | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/76/ABCNN-_Attention-Based_Convolutional_Neural_Network_for_Modeling_Sentence_Pairs_.pdf pdf]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/0d/Attention-Based_Convolutianal_Neural_Network_for_Modeling_Sentence_Pairs.pptx slides]] | ||
+ | *[[Tutorial]]: Introduction to different LMs: NNLM, RNNLM, continuous bag of words, skip-gram | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Models_for_computing_continuous_vector_representations_of_words.pdf slides]] | ||
+ | |- | ||
+ | |2016/8/18 || | ||
+ | * Shiyao Li | ||
+ | * Aiting Liu | ||
+ | || | ||
+ | *Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a4/Multilingual_part-of-speech_tagging_with_bidirectional_long_short-term_memory_models_and_auxiliary_loss.pdf pdf]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Multilingual_Part-of-Speech_Tagging_with.pdf slides]] | ||
+ | *A Sentence Interaction Network for Modeling Dependence between Sentences | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]] | ||
+ | |- | ||
+ | |2016/8/25 || | ||
+ | * Ziwei Bai | ||
+ | || | ||
+ | *[[Tutorial]]: Tensorflow guidelines and some examples | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/32/Tensor_flow_bai.pdf slides]] | ||
+ | |- | ||
+ | |2016/8/26 || | ||
+ | * Jiyuan Zhang | ||
+ | * Shiyao Li | ||
+ | || | ||
+ | *[[Tutorial]]: Introduction to GRU, LSTM, RBM [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:An_overview_of_LSTM,GRU,RBM.pptx slides]] | ||
+ | * [[Tutorial]] : Linear Algebra, Probability and Information Basics | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/LinearAlgebra.pdf LinearAlgebra]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/ProbilityTheoryandInformationTheory.pdf ProbabilityAndInformationTheory]] | ||
+ | |- | ||
+ | |2016/9/9 || | ||
+ | * Aodong Li | ||
+ | || | ||
+ | *Pointing the Unknown Words [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Pointing_the_Unknown_Words.pdf pdf]] | ||
+ | |- | ||
+ | |2016/9/18 || | ||
+ | * Andy Zhang | ||
+ | *Shiyao Li | ||
+ | *Aodong Li | ||
+ | || | ||
+ | *Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/Large-Scale_Information_Extraction_from_Textual_Definitions_through_Deep_Syntactic_and_Semantic_Analysis.pdf pdf]][[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Large-scale_information_extraction_from_textual_definitions_through_deep_syntactic_and_semantic_analysis.pdf slides]] | ||
+ | *Finding the Middle Ground - A Model for Planning Satisficing Answers [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b3/Finding_the_Middle_Ground_-_A_Model_for_Planning_Satisficing_Answers.pdf pdf]] | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/44/Finding_the_Middle_Ground.pdf slides]] | ||
+ | *Compressing Neural Language Models by Sparse Word Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b6/Compressing_Neural_Language_Models_by_Sparse_Word_Representations.pdf pdf]] | ||
+ | |- | ||
+ | |2016/9/30 || | ||
+ | * Jiyuan Zhang | ||
+ | *Shiyue Zhang | ||
+ | || | ||
+ | *On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fa/On-line_Active_Reward_Learning_for_Policy_Optimisation_in_Spoken_Dialogue_Systems.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/On-line_Active_Reward.pdf slides]] | ||
+ | *Stack-propagation: Improved Representation Learning for Syntax | ||
+ | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bf/Stack-propagation-_Improved_Representation_Learning_for_Syntax.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5d/Stack_propagation.pdf slides]] | ||
+ | |- | ||
+ | |2017/5/18 || | ||
+ | *Shiyue Zhang | ||
+ | || | ||
+ | *Convolutional Sequence to Sequence Learning [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Conv_seq2seq.pptx slides]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/Cnn_seq2seq.pdf pdf]] | ||
|} | |} |
2017年5月18日 (四) 02:51的最后版本
Date | Speaker | Materials |
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2014/10/22 | Zhang Dong Xu | Why RNN? PPT paper 1,paper 2 |
2014/12/8 | Liu Rong | Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. pdf |
Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. pdfcode | ||
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdfcode | ||
2015/07/10 | Liu Rong |
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2015/07/22 | Dong Wang |
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2015/07/29 | Xiaoxi Wang | |
2015/08/05 | Tianyi Luo |
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2015/08/05 | Dongxu Zhang | |
2015/08/07 | Chao Xing | |
2015/10/14 | Tianyi Luo, Dongxu Zhang, Chao Xing | |
2015/10/20 | Tianyi Luo, Xiaoxi Wang | |
2015/10/28 | Lantian Li |
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2015/11/05 | Chao Xing, Xiaoxi Wang | |
2015/11/20 | qixinWang | |
2015/11/27 | Xiaoxi Wang | |
2015/11/27 | Chao Xing | |
2015/12/4 | Dongxu Zhang, Qixin Wang, Chao Xing | |
2015/12/11 | Chao Xing, Yiqiao Pan |
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2015/12/18 | Tianyi Luo, Dongxu Zhang | |
2015/12/25 | Dongxu zhang, Qixin Wang | |
2015/12/31 | Xiaoxi Wang, Chao Xing | |
2016/1/8 | Qixin Wang, Tianyi Luo | |
2016/1/15 | Chao Xing | |
2016/1/22 | Qixin Wang, Tianyi Luo |
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2016/1/29 | Dongxu Zhang |
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2016/3/25 | Jiyuan Zhang | |
2016/4/1 | Chao Xing |
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2016/4/8 | Tianyi Luo |
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2016/4/28 | Chao Xing | |
2016/5/11 | Chao Xing |
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2016/7/28 | Aiting Liu |
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