Summary of Differentiable Combinatorial Scheduling at Scale, by Mingju Liu et al.
Differentiable Combinatorial Scheduling at Scaleby Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi YuFirst…
Differentiable Combinatorial Scheduling at Scaleby Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi YuFirst…
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimizationby…
Random Features Approximation for Control-Affine Systemsby Kimia Kazemian, Yahya Sattar, Sarah DeanFirst submitted to arxiv…
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?by Agustinus Kristiadi, Felix Strieth-Kalthoff, Sriram…
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generationby Oishi Banerjee, Hong-Yu…
Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimationby…
Robust Distribution Learning with Local and Global Adversarial Corruptionsby Sloan Nietert, Ziv Goldfeld, Soroosh ShafieeFirst…
Decentralized Personalized Federated Learningby Salma Kharrat, Marco Canini, Samuel HorvathFirst submitted to arxiv on: 10…
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsby Seyedhamidreza Mousavi,…
Explainable Graph Neural Networks Under Fireby Zhong Li, Simon Geisler, Yuhang Wang, Stephan Günnemann, Matthijs…