Summary of Auditing Differential Privacy Guarantees Using Density Estimation, by Antti Koskela and Jafar Mohammadi
Auditing Differential Privacy Guarantees Using Density Estimationby Antti Koskela, Jafar MohammadiFirst submitted to arxiv on:…
Summary of Variational Flow Matching For Graph Generation, by Floor Eijkelboom et al.
Variational Flow Matching for Graph Generationby Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling,…
Summary of Concurrent Training and Layer Pruning Of Deep Neural Networks, by Valentin Frank Ingmar Guenter and Athanasios Sideris
Concurrent Training and Layer Pruning of Deep Neural Networksby Valentin Frank Ingmar Guenter, Athanasios SiderisFirst…
Summary of Improving Geo-diversity Of Generated Images with Contextualized Vendi Score Guidance, by Reyhane Askari Hemmat et al.
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidanceby Reyhane Askari Hemmat, Melissa Hall,…
Summary of Linkgpt: Teaching Large Language Models to Predict Missing Links, by Zhongmou He et al.
LinkGPT: Teaching Large Language Models To Predict Missing Linksby Zhongmou He, Jing Zhu, Shengyi Qian,…
Summary of User Intent Recognition and Semantic Cache Optimization-based Query Processing Framework Using Cflis and Mgr-lau, by Sakshi Mahendru
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAUby Sakshi…
Summary of Occam: Towards Cost-efficient and Accuracy-aware Classification Inference, by Dujian Ding et al.
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inferenceby Dujian Ding, Bicheng Xu, Laks V.S. LakshmananFirst submitted…
Summary of Regularized Kl-divergence For Well-defined Function-space Variational Inference in Bayesian Neural Networks, by Tristan Cinquin and Robert Bamler
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networksby Tristan Cinquin, Robert BamlerFirst…
Summary of Pace: Parsimonious Concept Engineering For Large Language Models, by Jinqi Luo et al.
PaCE: Parsimonious Concept Engineering for Large Language Modelsby Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan…
Summary of Stratified Prediction-powered Inference For Hybrid Language Model Evaluation, by Adam Fisch et al.
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluationby Adam Fisch, Joshua Maynez, R. Alex Hofer,…