Summary of Down with the Hierarchy: the ‘h’ in Hnsw Stands For “hubs”, by Blaise Munyampirwa et al.
Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”by Blaise Munyampirwa, Vihan Lakshman,…
Summary of Self-improvement in Language Models: the Sharpening Mechanism, by Audrey Huang et al.
Self-Improvement in Language Models: The Sharpening Mechanismby Audrey Huang, Adam Block, Dylan J. Foster, Dhruv…
Summary of The Landscape Of Causal Discovery Data: Grounding Causal Discovery in Real-world Applications, by Philippe Brouillard et al.
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applicationsby Philippe Brouillard, Chandler…
Summary of Consistentfeature: a Plug-and-play Component For Neural Network Regularization, by Ruizhe Jiang et al.
ConsistentFeature: A Plug-and-Play Component for Neural Network Regularizationby RuiZhe Jiang, Haotian LeiFirst submitted to arxiv…
Summary of Rad: a Metric For Medical Image Distribution Comparison in Out-of-domain Detection and Other Applications, by Nicholas Konz et al.
RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applicationsby Nicholas…
Summary of Adversarial Attacks on Hyperbolic Networks, by Max Van Spengler et al.
Adversarial Attacks on Hyperbolic Networksby Max van Spengler, Jan Zahálka, Pascal MettesFirst submitted to arxiv…
Summary of Scaling Law For Language Models Training Considering Batch Size, by Xian Shuai et al.
Scaling Law for Language Models Training Considering Batch Sizeby Xian Shuai, Yiding Wang, Yimeng Wu,…
Summary of Effectiveness Of L2 Regularization in Privacy-preserving Machine Learning, by Nikolaos Chandrinos (1) et al.
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learningby Nikolaos Chandrinos, Iliana Loi, Panagiotis Zachos, Ioannis…
Summary of Rehub: Linear Complexity Graph Transformers with Adaptive Hub-spoke Reassignment, by Tomer Borreda et al.
ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignmentby Tomer Borreda, Daniel Freedman, Or LitanyFirst…
Summary of How Much Can Time-related Features Enhance Time Series Forecasting?, by Chaolv Zeng et al.
How Much Can Time-related Features Enhance Time Series Forecasting?by Chaolv Zeng, Yuan Tian, Guanjie Zheng,…