Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inferenceby Jian…
Curriculum Negative Mining For Temporal Networksby Ziyue Chen, Tongya Zheng, Mingli SongFirst submitted to arxiv…
An Efficient Procedure for Computing Bayesian Network Structure Learningby Hongming Huang, Joe SuzukiFirst submitted to…
Contrastive Learning Is Not Optimal for Quasiperiodic Time Seriesby Adrian Atienza, Jakob Bardram, Sadasivan PuthusserypadyFirst…
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videosby Debidatta Dwibedi, Yusuf Aytar,…
Towards Robust Knowledge Tracing Models via k-Sparse Attentionby Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi…
Neural Dueling Banditsby Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang LowFirst…
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environmentsby Edward, Mohamed Ragab, Yuecong Xu, Min…
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspectiveby Jingren Liu, Zhong Ji, YunLong…
To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguityby Anastasiia…