Tim Rocktäschel

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Citazioni	3329	3118
Indice H	27	26
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Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchEmail verificata su cs.ucl.ac.uk
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Associate Professor, UCLEmail verificata su fb.com
Matko BošnjakPhD candidate, University College LondonEmail verificata su ucl.ac.uk
Sameer SinghUniversity of California, IrvineEmail verificata su uci.edu
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinEmail verificata su informatik.hu-berlin.de
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKEmail verificata su cs.ox.ac.uk
Pasquale MinerviniUniversity College LondonEmail verificata su cs.ucl.ac.uk
Phil BlunsomDeepMind and Oxford UniversityEmail verificata su cs.ox.ac.uk
Fabio PetroniFacebook AI ResearchEmail verificata su fb.com
Alexander Holden MillerResearch Engineer, FacebookEmail verificata su fb.com
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenEmail verificata su di.ku.dk
Gregory FarquharDeepMindEmail verificata su google.com
Jakob FoersterResearch Scientist, Facebook AI ResearchEmail verificata su fb.com
Thomas DemeesterAssistant professor, Ghent UniversityEmail verificata su ugent.be
Nantas NardelliPhD Student, University of OxfordEmail verificata su robots.ox.ac.uk
Heinrich KüttlerFacebook AI ResearchEmail verificata su math.lmu.de
Philippe ThomasGerman Research Center for Artificial IntelligenceEmail verificata su dfki.de
Jason NaradowskyResearcher, Preferred NetworksEmail verificata su preferred.jp
Karl Moritz HermannSaigaEmail verificata su google.com
Tomáš KočiskýDeepMindEmail verificata su kocisky.eu

Tim Rocktäschel

Research Scientist at Facebook AI Research, Lecturer at University College London

Email verificata su cs.ucl.ac.uk - Home page

Machine Learning Reinforcement Learning Artificial Intelligence


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	680	2016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	230	2012
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	219	2019
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	201	2016
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	185	2015
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	179	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	163	2016
The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of Cheminformatics, 2015	146	2015
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	113*	2017
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	90	2016
Frustratingly Short Attention Spans in Neural Language Modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel ICLR 2017, 2017	81	2017
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	78	2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	74	2018
Low-Dimensional Embeddings of Logic T Rocktäschel, M Bosnjak, S Singh, S Riedel SP 2014 (Exceptional Submission Award), 2014	62	2014
WBI-DDI: Drug-drug Interaction Extraction using Majority Voting P Thomas, M Neves, T Rocktäschel, U Leser SemEval 2013, 2013	62	2013
Adversarial Sets for Regularising Neural Link Predictors P Minervini, T Demeester, T Rocktäschel, S Riedel UAI 2017, 2017	60	2017
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	54	2018
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	46	2019
Retrieval-augmented Generation for Knowledge-intensive NLP Tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020	45	2020
Learning Python Code Suggestion with a Sparse Pointer Network A Bhoopchand, T Rocktäschel, E Barr, S Riedel Technical Report arXiv:1611.08307, 2016	44	2016

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