Summary of An Information Theoretic Limit to Data Amplification, by S. J. Watts and L. Crow
An information theoretic limit to data amplificationby S. J. Watts, L. CrowFirst submitted to arxiv…
Summary of Diverse Concept Proposals For Concept Bottleneck Models, by Katrina Brown et al.
Diverse Concept Proposals for Concept Bottleneck Modelsby Katrina Brown, Marton Havasi, Finale Doshi-VelezFirst submitted to…
Summary of Beyond Gradient Averaging in Parallel Optimization: Improved Robustness Through Gradient Agreement Filtering, by Francois Chaubard et al.
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filteringby Francois Chaubard, Duncan…
Summary of Mmfactory: a Universal Solution Search Engine For Vision-language Tasks, by Wan-cyuan Fan et al.
MMFactory: A Universal Solution Search Engine for Vision-Language Tasksby Wan-Cyuan Fan, Tanzila Rahman, Leonid SigalFirst…
Summary of An Attention-based Framework with Multistation Information For Earthquake Early Warnings, by Yu-ming Huang et al.
An Attention-based Framework with Multistation Information for Earthquake Early Warningsby Yu-Ming Huang, Kuan-Yu Chen, Wen-Wei…
Summary of Tackling the Dynamicity in a Production Llm Serving System with Sota Optimizations Via Hybrid Prefill/decode/verify Scheduling on Efficient Meta-kernels, by Mingcong Song et al.
Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify…
Summary of Heterogeneous Transfer Learning For High Dimensional Regression with Feature Mismatch, by Jae Ho Chang et al.
Heterogeneous transfer learning for high dimensional regression with feature mismatchby Jae Ho Chang, Massimiliano Russo,…
Summary of Fedtlu: Federated Learning with Targeted Layer Updates, by Jong-ik Park and Carlee Joe-wong
FedTLU: Federated Learning with Targeted Layer Updatesby Jong-Ik Park, Carlee Joe-WongFirst submitted to arxiv on:…
Summary of Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity, By Yixin Ren et al.
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexityby Yixin Ren,…
Summary of Asynchronous Federated Learning: a Scalable Approach For Decentralized Machine Learning, by Ali Forootani et al.
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learningby Ali Forootani, Raffaele IervolinoFirst submitted…