Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalizationby Davide Buffelli, Jamie McGowan,…
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Explorationby Xingrui Yu,…
Inductive Graph Few-shot Class Incremental Learningby Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr…
The effect of different feature selection methods on models created with XGBoostby Jorge Neyra, Vishal…
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral…
LoFi: Neural Local Fields for Scalable Image Reconstructionby AmirEhsan Khorashadizadeh, Tobías I. Liaudat, Tianlin Liu,…
DISCO: DISCovering Overfittings as Causal Rules for Text Classification Modelsby Zijian Zhang, Vinay Setty, Yumeng…
SEE-DPO: Self Entropy Enhanced Direct Preference Optimizationby Shivanshu Shekhar, Shreyas Singh, Tong ZhangFirst submitted to…
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Priorby Yiwei Dong,…
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learningby Carlos HuertasFirst submitted…