Summary of Kipps: Knowledge Infusion in Privacy Preserving Synthetic Data Generation, by Anantaa Kotal and Anupam Joshi
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generationby Anantaa Kotal, Anupam JoshiFirst submitted to…
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generationby Anantaa Kotal, Anupam JoshiFirst submitted to…
Revisiting inverse Hessian vector products for calculating influence functionsby Yegor Klochkov, Yang LiuFirst submitted to…
Non-asymptotic Convergence of Training Transformers for Next-token Predictionby Ruiquan Huang, Yingbin Liang, Jing YangFirst submitted…
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methodsby MaryBeth Defrance, Maarten Buyl, Tijl De…
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetryby Akiyoshi Sannai,…
Informed deep hierarchical classification: a non-standard analysis inspired approachby Lorenzo Fiaschi, Marco CococcioniFirst submitted to…
Bridge to Real Environment with Hardware-in-the-loop for Wireless Artificial Intelligence Paradigmsby Jeffrey Redondo, Nauman Aslam,…
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalizationby Rafael Mendoza, Isabella Cruz, Richard Liu,…
What is the relation between Slow Feature Analysis and the Successor Representation?by Eddie Seabrook, Laurenz…
INT-FlashAttention: Enabling Flash Attention for INT8 Quantizationby Shimao Chen, Zirui Liu, Zhiying Wu, Ce Zheng,…