Summary of Foundation Model Makes Clustering a Better Initialization For Cold-start Active Learning, by Han Yuan and Chuan Hong
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learningby Han Yuan, Chuan HongFirst…
Summary of Leveraging Continuously Differentiable Activation Functions For Learning in Quantized Noisy Environments, by Vivswan Shah and Nathan Youngblood
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environmentsby Vivswan Shah, Nathan YoungbloodFirst…
Summary of Dual Interior Point Optimization Learning, by Michael Klamkin et al.
Dual Interior Point Optimization Learningby Michael Klamkin, Mathieu Tanneau, Pascal Van HentenryckFirst submitted to arxiv…
Summary of Accelerating Inverse Reinforcement Learning with Expert Bootstrapping, by David Wu and Sanjiban Choudhury
Accelerating Inverse Reinforcement Learning with Expert Bootstrappingby David Wu, Sanjiban ChoudhuryFirst submitted to arxiv on:…
Summary of Arithmetic in Transformers Explained, by Philip Quirke et al.
Arithmetic in Transformers Explainedby Philip Quirke, Clement Neo, Fazl BarezFirst submitted to arxiv on: 4…
Summary of Surfing the Modeling Of Pos Taggers in Low-resource Scenarios, by Manuel Vilares Ferro et al.
Surfing the modeling of PoS taggers in low-resource scenariosby Manuel Vilares Ferro, Víctor M. Darriba…
Summary of Review Of Multimodal Machine Learning Approaches in Healthcare, by Felix Krones et al.
Review of multimodal machine learning approaches in healthcareby Felix Krones, Umar Marikkar, Guy Parsons, Adam…
Summary of Modeling Of Learning Curves with Applications to Pos Tagging, by Manuel Vilares Ferro et al.
Modeling of learning curves with applications to pos taggingby Manuel Vilares Ferro, Victor M. Darriba…
Summary of Adaptive Scheduling For Adaptive Sampling in Pos Taggers Construction, by Manuel Vilares Ferro et al.
Adaptive scheduling for adaptive sampling in POS taggers constructionby Manuel Vilares Ferro, Victor M. Darriba…
Summary of Competesmoe — Effective Training Of Sparse Mixture Of Experts Via Competition, by Quang Pham et al.
CompeteSMoE – Effective Training of Sparse Mixture of Experts via Competitionby Quang Pham, Giang Do,…