International Conference of Learning Representations (ICLR), 2024

Date

mai 7, 2024 — mai 11, 2024

Évènement

2024 ICLR

Date de soumission

sept. 28, 2023

Publications

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. Arnab Mondal, Siba Smarak Panigrahi, Siamak Ravanbakhsh, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2024.

Multi-View Causal Representation Learning with Partial Observability. Dingling Yao, Danru Xu, Perouz Taslakian, Sébastien Lachapelle, Sara Magliacane, Julius von Kügelgen, Francesco Locatello. At International Conference of Learning Representations (ICLR), 2024.

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TACTIS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin. At International Conference of Learning Representations (ICLR), 2024.

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Workflow discovery in low data regimes. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal. At International Conference of Learning Representations (ICLR), 2024.

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IntentGPT: Few-shot Intent Discovery with Large Language Models. Juan A. Rodriguez, Nicholas Botzer, David Vazquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji. At Workshop at the International Conference of Learning Representation (ICLR), 2024.

Self-evaluation and self-prompting to improve the reliability of LLMs. Alexandre Piche, Aristides Milios, Dzmitry Bahdanau, Christopher Pal. At Workshop at the International Conference of Learning Representation (ICLR), 2024.

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WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?. Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vazquez, Nicolas Chapados, Alexandre Lacoste. At Workshop at the International Conference of Learning Representation (ICLR), 2024.

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