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Tensor Monte Carlo: Particle Methods for the GPU era
Neural Information Processing Systems http://nips.cc/
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Further analysis suggests a positive relationship (Spearman's r
Distributed Low-rank Matrix Factorization With Exact Consensus
Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin
Neural Information Processing Systems http://nips.cc/
Zero-Shot Tokenizer Transfer Benjamin Minixhofer
Our method comes close to the original models' performance in cross-lingual and
7c78335a8924215ea5c22fda1aac7b75-Paper.pdf
Learning the minimum/maximum mean among a finite set of distributions is a fundamental sub-task in planning, game tree search and reinforcement learning.
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Devin Reich, Ariel Todoki, Rafael Dowsley, Martine De Cock, anderson nascimento
Neural Information Processing Systems http://nips.cc/
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Protein-ligand binding prediction is a fundamental problem in AI-driven drug discovery.
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka
We theoretically study the landscape of the training error for neural networks in overparameterized cases.