Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressionby Junliang Lyu, Yixuan…
Exploring Grokking: Experimental and Mechanistic Investigationsby Hu Qiye, Zhou Hao, Yu RuoXiFirst submitted to arxiv…
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learningby Yongchun Qin, Pengfei Fang,…
SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generationby Qilong Wu, Xiaoneng Xiang,…
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Databy Zhenyu Lei, Yushun Dong, Jundong Li, Chen…
C3: Learning Congestion Controllers with Formal Certificatesby Chenxi Yang, Divyanshu Saxena, Rohit Dwivedula, Kshiteej Mahajan,…
Linear Programming based Approximation to Individually Fair k-Clustering with Outliersby Binita Maity, Shrutimoy Das, Anirban…
Predicting Survival of Hemodialysis Patients using Federated Learningby Abhiram Raju, Praneeth VepakommaFirst submitted to arxiv…
Progressive Compression with Universally Quantized Diffusion Modelsby Yibo Yang, Justus C. Will, Stephan MandtFirst submitted…
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuningby Hong-Wei…