Tim Rocktäschel

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Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindAdresse e-mail validée de cs.ucl.ac.uk
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLAdresse e-mail validée de google.com
Heinrich KüttlerxAIAdresse e-mail validée de math.lmu.de
Patrick LewisUCL, Research Scientist CohereAdresse e-mail validée de ucl.ac.uk
Fabio PetroniSamaya AIAdresse e-mail validée de samaya.ai
Minqi JiangFAIR at Meta AIAdresse e-mail validée de ucl.ac.uk
Jakob FoersterAssociate Professor, University of OxfordAdresse e-mail validée de eng.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoAdresse e-mail validée de cs.ox.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLAdresse e-mail validée de google.com
Douwe KielaContextual AI, Stanford UniversityAdresse e-mail validée de stanford.edu
Aleksandra PiktusCohere | Sapienza, University of RomeAdresse e-mail validée de cohere.com
Vladimir Karpukhinfacebook AI researchAdresse e-mail validée de fb.com
Ethan PerezAnthropic; New York UniversityAdresse e-mail validée de anthropic.com
Matko BošnjakGoogle DeepMindAdresse e-mail validée de deepmind.com
Pasquale MinerviniUniversity of Edinburgh, Miniml.AI, ELLIS ScholarAdresse e-mail validée de ed.ac.uk
Phil BlunsomCohere & St Hugh’s College OxfordAdresse e-mail validée de cs.ox.ac.uk
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIAdresse e-mail validée de uci.edu
Naman GoyalFacebook AI ResearchAdresse e-mail validée de gatech.edu
Mike LewisFacebook AI ResearchAdresse e-mail validée de fb.com
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinAdresse e-mail validée de informatik.hu-berlin.de

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Tim Rocktäschel

Autres nomsTim Rocktaeschel, Tim Rocktaschel

Director and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLIS

Adresse e-mail validée de cs.ucl.ac.uk - Page d'accueil

Artificial General Intelligence Open-Endedness Self-Improvement Reinforcement Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	5824	2020
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	2993	2019
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	964	2016
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	656	2018
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	534	2021
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	508	2016
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (𝗢𝗿𝗮𝗹), 2017	504	2017
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	412	2023
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2016	400	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	384	2015
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	353	2012
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	326	2019
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	314	2015
How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, A H. Miller, S Riedel AKBC 2020 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2020	251	2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	224	2020
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	218	2019
The NetHack Learning Environment H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ... NeurIPS 2020, 2020	195	2020
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	184	2016
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	182	2018
Prioritized Level Replay M Jiang, E Grefenstette, T Rocktäschel ICML 2021, 2021	179	2021

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