Summary of Multiple Locally Linear Kernel Machines, by David Picard
Multiple Locally Linear Kernel Machinesby David PicardFirst submitted to arxiv on: 17 Jan 2024CategoriesMain: Machine…
Multiple Locally Linear Kernel Machinesby David PicardFirst submitted to arxiv on: 17 Jan 2024CategoriesMain: Machine…
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learningby Charles Dickens, Changyu Gao, Connor Pryor,…
LoMA: Lossless Compressed Memory Attentionby Yumeng Wang, Zhenyang XiaoFirst submitted to arxiv on: 16 Jan…
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertisingby Shuai Yang, Hao Yang, Zhuang…
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimizationby Wanrong Zhu, Zhipeng Lou,…
MicroNAS: Zero-Shot Neural Architecture Search for MCUsby Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao HuangFirst…
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Predictionby Ziyang Yu, Wenbing Huang, Yang LiuFirst submitted…
Decoupled Prototype Learning for Reliable Test-Time Adaptationby Guowei Wang, Changxing Ding, Wentao Tan, Mingkui TanFirst…
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approachby Mahrokh Ghoddousi Boroujeni, Andreas Krause, Giancarlo…
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inferenceby Jinghan Yao, Quentin Anthony, Aamir Shafi,…