Summary of Learning Universal Predictors, by Jordi Grau-moya et al.
Learning Universal Predictorsby Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt,…
Learning Universal Predictorsby Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt,…
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Trainingby Shruthi Gowda, Bahram Zonooz, Elahe…
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasksby Eura Nofshin, Siddharth Swaroop,…
Set-Based Training for Neural Network Verificationby Lukas Koller, Tobias Ladner, Matthias AlthoffFirst submitted to arxiv…
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state modelsby Michael T. Wojnowicz,…
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithmby Chengdong Shi, Ching-Hsun Tseng,…
Graph-based Active Learning for Entity Cluster Repairby Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke,…
SliceGPT: Compress Large Language Models by Deleting Rows and Columnsby Saleh Ashkboos, Maximilian L. Croci,…
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement…
On the generalization capacity of neural networks during generic multimodal reasoningby Takuya Ito, Soham Dan,…