Remove Articulate Remove Learning Theory Remove Train
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Timaeus in 2024

The AI Alignment Forum

Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular Learning Theory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. The S4 correspondence: Training data (and architecture) determine the loss landscape. in funding for 2025.

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Stanford AI Lab Papers and Talks at ICLR 2022

Stanford AI Lab Blog

Guibas Contact : kaichun@cs.stanford.edu Links: Paper Keywords : embodied ai, 3d scene graph, interactive perception VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Authors : Ruihai Wu*, Yan Zhao*, Kaichun Mo*, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J.

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Google at NeurIPS 2022

Google Research AI blog

Platt , Fernando Pereira , Dale Schuurmans Keynote Speakers The Data-Centric Era: How ML is Becoming an Experimental Science Isabelle Guyon The Forward-Forward Algorithm for Training Deep Neural Networks Geoffrey Hinton Outstanding Paper Award Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia , William Chan (..)

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