Summary of Autoirt: Calibrating Item Response Theory Models with Automated Machine Learning, by James Sharpnack et al.
AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learningby James Sharpnack, Phoebe Mulcaire, Klinton…
Summary of Can Kans (re)discover Predictive Models For Direct-drive Laser Fusion?, by Rahman Ejaz et al.
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?by Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti,…
Summary of Delta: Dual Consistency Delving with Topological Uncertainty For Active Graph Domain Adaptation, by Pengyun Wang et al.
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptationby Pengyun Wang, Yadi…
Summary of Promoting Fairness in Link Prediction with Graph Enhancement, by Yezi Liu et al.
Promoting Fairness in Link Prediction with Graph Enhancementby Yezi Liu, Hanning Chen, Mohsen ImaniFirst submitted…
Summary of Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent, by Hikaru Umeda et al.
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descentby Hikaru Umeda, Hideaki IidukaFirst…
Summary of Risks When Sharing Lora Fine-tuned Diffusion Model Weights, by Dixi Yao
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weightsby Dixi YaoFirst submitted to arxiv on: 13…
Summary of An Efficient Privacy-aware Split Learning Framework For Satellite Communications, by Jianfei Sun et al.
An Efficient Privacy-aware Split Learning Framework for Satellite Communicationsby Jianfei Sun, Cong Wu, Shahid Mumtaz,…
Summary of Second-order Difference Subspace, by Kazuhiro Fukui et al.
Second-order difference subspaceby Kazuhiro Fukui, Pedro H.V. Valois, Lincon Souza, Takumi KobayashiFirst submitted to arxiv…
Summary of Batch Ensemble For Variance Dependent Regret in Stochastic Bandits, by Asaf Cassel (1) et al.
Batch Ensemble for Variance Dependent Regret in Stochastic Banditsby Asaf Cassel, Orin Levy, Yishay MansourFirst…
Summary of Byzantine-robust and Communication-efficient Distributed Learning Via Compressed Momentum Filtering, by Changxin Liu et al.
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filteringby Changxin Liu, Yanghao Li, Yuhao Yi,…