Cameron Diao

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing

Jan M. Rabaey, Bruno A. Olshausen, Denis Kleyko, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Gerard de Melo, Andrew M. Dai, Christopher D. Manning, 2022, ArXiv.

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing

B. Olshausen, J. Rabaey, Cameron Diao, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Relational Attention: Generalizing Transformers for Graph-Structured Tasks

Cameron Diao, Ricky Loynd, 2022, ICLR.

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning

Xiao Huang, Cameron Diao, Kaixiong Zhou, 2022, ArXiv.

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning

Xiao Huang, Cameron Diao, Kaixiong Zhou, 2022, ArXiv.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Ronan Le Bras, Stuart M. Shieber, Vinay Uday Prabhu, 2022, ArXiv.