about
Towards AI-Complete Question Answering: A Set of Prerequisite Toy TasksTracking the World State with Recurrent Entity NetworksA unified multitask architecture for predicting local protein propertiesNatural Language Processing (almost) from ScratchDetecting remote evolutionary relationships among proteins by large-scale semantic embeddingA unified architecture for natural language processing: deep neural networks with multitask learningMemory NetworksLearning End-to-end Goal-oriented DialogLearning gene functional classifications from multiple data types.Translating Embeddings for Modeling Multi-relational DataReading Wikipedia to Answer Open-Domain QuestionsLearning structured embeddings of knowledge basesProtein ranking by semi-supervised network propagationSVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.Combining classifiers for improved classification of proteins from sequence or structure.Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets.Large scale application of neural network based semantic role labeling for automated relation extraction from biomedical texts.Protein ranking: from local to global structure in the protein similarity networkSemi-supervised multi-task learning for predicting interactions between HIV-1 and human proteinsDirect maximization of protein identifications from tandem mass spectraIdentifying remote protein homologs by network propagation.RANKPROP: a web server for protein remote homology detection.Curriculum learningMismatch string kernels for discriminative protein classification.Large-scale Simple Question Answering with Memory NetworksSemi-supervised learning for peptide identification from shotgun proteomics datasets.WSABIE: scaling up to large vocabulary image annotationFeature selection and transduction for prediction of molecular bioactivity for drug design.Motif-based protein ranking by network propagation.Semi-supervised protein classification using cluster kernels.A user's guide to support vector machines.A semantic matching energy function for learning with multi-relational dataSupport vector channel selection in BCI.Gene Selection for Cancer Classification using Support Vector MachinesInference with the UniversumTrading convexity for scalabilityWizard of Wikipedia: Knowledge-Powered Conversational agentsSupervised Semantic IndexingEnd-To-End Memory NetworksLabel Embedding Trees for Large Multi-Class Tasks
P50
Q24698920-f308807e-417c-766f-5a3a-bcd08a1e3329Q28006741-25b062b5-4f0e-32e9-8186-ece773b42ceaQ28730935-EE74B554-0AA8-42ED-A8F5-2CE9DDA10C56Q28732639-A3305854-7D05-48F1-813A-80B00C6E9FAEQ28743231-01DCE1C9-AE2E-4017-BBAD-257247C0EBE3Q29046039-B9E024AB-8E40-4C45-9244-BA6623ADBB95Q29996184-865f28ed-4456-e024-ac73-3f27c0097642Q30020406-1d47c8e0-4045-1172-cf91-0bcc2ffe61ebQ30693068-58C746BB-B1B4-429D-BB90-120259D95202Q32892039-5BD29F73-71E9-4F47-B7C2-4FF58B7D8582Q32904318-6667275a-44df-a916-4967-73d12bee9253Q33003786-716fa4eb-49c9-b4d2-6c5b-e6e417479486Q33244577-973E7AC9-5099-41B4-80DA-B58A4187174AQ33287738-A8B5535A-08B0-413B-846B-31E19BAB54BDQ33371114-EF08D0E2-1BC3-435A-B2A5-1FD633B79789Q33433611-16184CD5-9806-4125-923A-FFBEBEC9CC20Q33487780-DFBCFF9F-A715-4B19-AAF2-88E5E0F47877Q33695754-29809E32-74A5-4E44-A18E-A6D105602E1DQ34110482-407E7DFD-A01F-44FB-99DC-2CA5805AA483Q35751671-787C1423-FABE-47DC-AF70-38701CA8F1F8Q36283789-5B83EE8F-FF6D-426E-9596-E8232C2DAE73Q37090223-2FF7321D-1619-4088-BCE8-3FE43BB95F62Q42295194-3780C6D4-CA1C-40A6-9F3D-59C6B471AFCCQ42620879-A771F69B-ADAE-4187-A8D7-467B37BA67AAQ43280529-E40897D4-7DD4-473D-8A08-4131594A6E99Q45965072-DBFA5E04-BBDC-437E-93CC-73D84BD1299CQ47516823-ab327882-48be-9e9c-275d-0b4f024b4231Q47978053-AFEDF0A5-6B49-4DE4-9C4F-2DC882D19E9DQ48479167-DB830D0D-EA12-4BB0-A1DE-DBF23C8C2995Q48487929-EC3106A5-36A6-4D40-87AE-854568532E83Q51714783-C942C14A-E765-4003-9C3E-D34E726188E7Q51938182-F0D3942C-163D-4DEB-AF48-860D54E4B81CQ51940214-C10C89A7-8085-4C3F-B6BD-0C3034930680Q56535529-2C8775D5-5191-4F67-BC99-8732300493B1Q57983725-2B9BAE4B-4BB5-4682-98FF-B37789F34DB3Q57983726-C98B1142-0DB2-4C3D-A8D8-6EB8887F3080Q61895939-959DC510-929D-41E8-AAFC-7317E20C7A7DQ66711664-BCC62453-B1AC-462A-98DB-811FC0CC28DAQ77623673-2CC51357-0BB1-4D9E-A177-0BA417927378Q77667106-B1C1AC7F-BF96-4BD2-8B26-0787DA0CED8E
P50
description
machine learning scientist, Facebook AI Research
@en
onderzoeker
@nl
name
Jason Weston
@ast
Jason Weston
@da
Jason Weston
@de
Jason Weston
@en
Jason Weston
@es
Jason Weston
@fo
Jason Weston
@fr
Jason Weston
@is
Jason Weston
@kl
Jason Weston
@nb
type
label
Jason Weston
@ast
Jason Weston
@da
Jason Weston
@de
Jason Weston
@en
Jason Weston
@es
Jason Weston
@fo
Jason Weston
@fr
Jason Weston
@is
Jason Weston
@kl
Jason Weston
@nb
altLabel
Jason E Weston
@da
Jason E Weston
@de
Jason E Weston
@en
Jason Weston
@da
Jason Weston
@de
Jason Weston
@en
prefLabel
Jason Weston
@ast
Jason Weston
@da
Jason Weston
@de
Jason Weston
@en
Jason Weston
@es
Jason Weston
@fo
Jason Weston
@fr
Jason Weston
@is
Jason Weston
@kl
Jason Weston
@nb
P108
P1015
P214
P244
P1015
P106
P1416
P1960
lMkTx0EAAAAJ
P21
P213
0000 0003 8470 2298
P214
P244
P31
P569
2000-01-01T00:00:00Z
P734
P735
P7859
lccn-n97036572