South America
RGFN: Synthesizable Molecular Generation Using GFlowNets
However, most existing machine learning methods for small molecule generation suffer from poor synthesizability of candidate compounds, making experimental validation difficult.
Mitigating Source Bias for Fairer Weak Supervision
Theoretically, we show that it is possible for our approach to simultaneously improve both accuracy and fairness--in contrast to standard fairness approaches that suffer from tradeoffs. Empirically, we show that our technique improves accuracy on weak supervision baselines by as much as 32% while reducing demographic parity gap by 82.5%.
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Further analysis suggests a positive relationship (Spearman's r
Zero-Shot Tokenizer Transfer Benjamin Minixhofer
Our method comes close to the original models' performance in cross-lingual and
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/
Transfer of Deep Reactive Policies for MDP Planning
Aniket (Nick) Bajpai, Sankalp Garg, None
Neural Information Processing Systems http://nips.cc/
Hierarchically Gated Recurrent Neural Network for Sequence Modeling
Recently, there has been a renewed interest in using linear RNNs for efficient sequence modeling.
Multiway clustering via tensor block models
Neural Information Processing Systems http://nips.cc/
