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11 Results
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Competition
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Wed 17:00 |
NL4Opt: Formulating Optimization Problems Based on Their Natural Language Descriptions Rindranirina Ramamonjison · Timothy Yu · Giuseppe Carenini · Bissan Ghaddar · Raymond Li · Shiqi He · Haley Li · Amin Banitalebi-Dehkordi · Zirui Zhou · Yong Zhang |
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Competition
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Thu 14:15 |
Descriptions of winning methods |
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Poster
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Wed 14:00 |
Sharing Knowledge for Meta-learning with Feature Descriptions Tomoharu Iwata · Atsutoshi Kumagai |
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Poster
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Wed 9:00 |
How to talk so AI will learn: Instructions, descriptions, and autonomy Theodore Sumers · Robert Hawkins · Mark Ho · Tom Griffiths · Dylan Hadfield-Menell |
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Poster
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Tue 14:00 |
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin · Malik Boudiaf · Emilie Chouzenoux · Jean-Christophe Pesquet · Ismail Ayed |
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Workshop
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Polarization identification on multiple timescale using representation learning on temporal graphs in Eulerian description Victor Chomel · Nathanaël Cuvelle--Magar · Maziyar Panahi · David Chavalarias |
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Workshop
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Description2Font: Font Generation via Style Description Pan Wang · Xun Zhang · Peter Childs · Kunpyo Lee · Stephen Jia WANG |
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Workshop
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Automated Protein Function Description for Novel Class Discovery Meet Barot · Vladimir Gligorijevic · Richard Bonneau · Kyunghyun Cho |
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Affinity Workshop
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Can deep learning models understand natural language descriptions of patient symptoms following cataract surgery? Mohita Chowdhury · Oliver Gardiner · Ernest Lim · Aisling Higham · Nick de Pennington |
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Workshop
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Fri 9:00 |
Contributed Talk 2: How to talk so AI will learn: instructions, descriptions, and pragmatics |
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Workshop
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How to talk so AI will learn: instructions, descriptions, and pragmatics Theodore Sumers · Robert Hawkins · Mark Ho · Tom Griffiths · Dylan Hadfield-Menell |