Tim Rocktäschel

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Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindEmail verificata su cs.ucl.ac.uk
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLEmail verificata su google.com
Heinrich KüttlerxAIEmail verificata su math.lmu.de
Patrick LewisUCL, Research Scientist CohereEmail verificata su ucl.ac.uk
Fabio PetroniSamaya AIEmail verificata su samaya.ai
Minqi JiangFAIR at Meta AIEmail verificata su ucl.ac.uk
Jakob FoersterAssociate Professor, University of OxfordEmail verificata su eng.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoEmail verificata su cs.ox.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLEmail verificata su google.com
Douwe KielaContextual AI, Stanford UniversityEmail verificata su stanford.edu
Matko BošnjakGoogle DeepMindEmail verificata su deepmind.com
Aleksandra PiktusCohere | Sapienza, University of RomeEmail verificata su cohere.com
Pasquale MinerviniUniversity of Edinburgh, Miniml.AI, ELLIS ScholarEmail verificata su ed.ac.uk
Vladimir Karpukhinfacebook AI researchEmail verificata su fb.com
Phil BlunsomCohere & St Hugh’s College OxfordEmail verificata su cs.ox.ac.uk
Ethan PerezAnthropic; New York UniversityEmail verificata su anthropic.com
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinEmail verificata su informatik.hu-berlin.de
Alexander Holden MillerMeta Fundamental AI Research (FAIR)Email verificata su meta.com
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIEmail verificata su uci.edu
Naman GoyalFacebook AI ResearchEmail verificata su gatech.edu

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Tim Rocktäschel

Altri nomiTim Rocktaeschel, Tim Rocktaschel

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

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

Artificial General Intelligence Open-Endedness Self-Improvement Reinforcement Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	4948	2020
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	2877	2019
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	958	2016
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	639	2018
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	506	2016
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	502	2021
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (𝗢𝗿𝗮𝗹), 2017	492	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2016	395	2016
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	393	2023
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	379	2015
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	351	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	321	2019
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	311	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	240	2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	216	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	215	2019
The NetHack Learning Environment H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ... NeurIPS 2020, 2020	188	2020
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	183	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	178	2018
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	177*	2017

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