Proceedings of Machine Learning Research

The Proceedings of Machine Learning Research is a series that publishes machine learning research papers presented at workshops and conferences. Each volume is separately titled and associated with a particular workshop or conference and will be published online on the PMLR web site. Authors retain copyright.

collana che contiene

 PAL: Program-aided Language Models (2023) — Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents (2022) — Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch

 GNN2GNN: Graph Neural Networks to Generate Neural Networks (2022) — Andrea Agiollo, Andrea Omicini

 Retrieval Augmented Language Model Pre-Training (2020) — Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Mingwei Chang