Summary of Set-based Training For Neural Network Verification, by Lukas Koller et al.
Set-Based Training for Neural Network Verificationby Lukas Koller, Tobias Ladner, Matthias AlthoffFirst submitted to arxiv…
Summary of Slicegpt: Compress Large Language Models by Deleting Rows and Columns, By Saleh Ashkboos et al.
SliceGPT: Compress Large Language Models by Deleting Rows and Columnsby Saleh Ashkboos, Maximilian L. Croci,…
Summary of Diffusion Stochastic Optimization For Min-max Problems, by Haoyuan Cai et al.
Diffusion Stochastic Optimization for Min-Max Problemsby Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. SayedFirst submitted…
Summary of Off-policy Primal-dual Safe Reinforcement Learning, by Zifan Wu et al.
Off-Policy Primal-Dual Safe Reinforcement Learningby Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao,…
Summary of Scilab-rl: a Software Framework For Efficient Reinforcement Learning and Cognitive Modeling Research, by Jan Dohmen et al.
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling researchby Jan Dohmen, Frank…
Summary of Bayesian Optimization Through Gaussian Cox Process Models For Spatio-temporal Data, by Yongsheng Mei et al.
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Databy Yongsheng Mei, Mahdi Imani, Tian…
Summary of Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective, by Xuechen Zhang et al.
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objectiveby Xuechen Zhang, Mingchen Li, Jiasi Chen,…
Summary of Generating Likely Counterfactuals Using Sum-product Networks, by Jiri Nemecek et al.
Generating Likely Counterfactuals Using Sum-Product Networksby Jiri Nemecek, Tomas Pevny, Jakub MarecekFirst submitted to arxiv…
Summary of Nachos: Neural Architecture Search For Hardware Constrained Early Exit Neural Networks, by Matteo Gambella et al.
NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networksby Matteo Gambella, Jary Pomponi,…
Summary of Explainable Bayesian Optimization, by Tanmay Chakraborty et al.
Explainable Bayesian Optimizationby Tanmay Chakraborty, Christin Seifert, Christian WirthFirst submitted to arxiv on: 24 Jan…