Tim Rocktäschel

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Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Edward GrefenstetteHonorary Professor, UCLVerified email at ucl.ac.uk
Phil BlunsomOxford UniversityVerified email at cs.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Matko BošnjakDeepMindVerified email at deepmind.com
Fabio PetroniFacebook AI ResearchVerified email at fb.com
Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Pasquale MinerviniUniversity College LondonVerified email at cs.ucl.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Alexander Holden MillerResearch Engineer, FacebookVerified email at fb.com
Heinrich KüttlerFacebook AI ResearchVerified email at math.lmu.de
Aleksandra PiktusHugging FaceVerified email at huggingface.co
Nantas NardelliCarbon ReVerified email at carbonre.tech
Gregory FarquharDeepMindVerified email at google.com
Minqi JiangUniversity College London & Meta AI ResearchVerified email at ucl.ac.uk
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Yuxiang WuUniversity College LondonVerified email at ucl.ac.uk
Thomas DemeesterAssistant professor, Ghent UniversityVerified email at ugent.be
Douwe KielaHead of Research, Hugging FaceVerified email at huggingface.co

Tim Rocktäschel

Researcher at DeepMind, Associate Professor at UCL

Verified email at cs.ucl.ac.uk - Homepage

Artificial Intelligence Reinforcement Learning Open Endedness


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Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	806	2016
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	684	2019
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	302	2017
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	301	2020
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	295	2016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	277	2012
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	249	2016
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	241	2015
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	204	2015
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	197	2018
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	132	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	131*	2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	112	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	111	2019
KILT: a Benchmark for Knowledge Intensive Language Tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL-HLT 2021, 2021	109	2021
Frustratingly Short Attention Spans in Neural Language Modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel ICLR 2017, 2017	107	2017
Adversarial Sets for Regularising Neural Link Predictors P Minervini, T Demeester, T Rocktäschel, S Riedel UAI 2017, 2017	100	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	90	2018
Learning to Speak and Act in a Fantasy Text Adventure Game J Urbanek, A Fan, S Karamcheti, S Jain, S Humeau, E Dinan, ... EMNLP 2019, 2019	81	2019
Learning Python Code Suggestion with a Sparse Pointer Network A Bhoopchand, T Rocktäschel, E Barr, S Riedel Technical Report arXiv:1611.08307, 2016	81	2016

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