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Large Language Models are Few-shot Publication Scoopers


Apr 02, 2023
Samuel Albanie, Liliane Momeni, João F. Henriques

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* SIGBOVIK 2023 

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Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition


Mar 23, 2023
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen Novoseller, Vinicius G. Goecks, Nicholas Waytowich, David Watkins, Josh Miller, Rohin Shah

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Pixels Together Strong: Segmenting Unknown Regions Rejected by All


Nov 25, 2022
Nazir Nayal, Mısra Yavuz, João F. Henriques, Fatma Güney

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* 18 pages, 14 figures 

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PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans


Nov 22, 2022
Yan Xia, Mariia Gladkova, Rui Wang, João F. Henriques, Daniel Cremers, Uwe Stilla

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* 11 pages, 7 figures, 5 tables 

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Learn what matters: cross-domain imitation learning with task-relevant embeddings


Sep 24, 2022
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques

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* NeurIPS 2022 

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Illusionary Attacks on Sequential Decision Makers and Countermeasures


Jul 20, 2022
Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schroeder de Witt

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SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data


Jun 13, 2022
Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi

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* First two authors contributed equally 

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A 23 MW data centre is all you need


Mar 31, 2022
Samuel Albanie, Dylan Campbell, João F. Henriques

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* SIGBOVIK 2022 

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Audio Retrieval with Natural Language Queries: A Benchmark Study


Dec 17, 2021
A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie

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* Submitted to Transactions on Multimedia. arXiv admin note: substantial text overlap with arXiv:2105.02192 

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Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks


Nov 25, 2021
Jianbo Jiao, João F. Henriques

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* BMVC 2021 | Project page: https://www.robots.ox.ac.uk/~vgg/research/qtae/ 

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