Summary of Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? a Benchmarking Study, by Santonu Sarkar et al.
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Studyby Santonu Sarkar,…
Summary of Open-ended Vqa Benchmarking Of Vision-language Models by Exploiting Classification Datasets and Their Semantic Hierarchy, By Simon Ging et al.
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchyby Simon…
Summary of How Do Large Language Models Navigate Conflicts Between Honesty and Helpfulness?, by Ryan Liu et al.
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?by Ryan Liu, Theodore R.…
Summary of Generalization Error Of Graph Neural Networks in the Mean-field Regime, by Gholamali Aminian et al.
Generalization Error of Graph Neural Networks in the Mean-field Regimeby Gholamali Aminian, Yixuan He, Gesine…
Summary of Fiddler: Cpu-gpu Orchestration For Fast Inference Of Mixture-of-experts Models, by Keisuke Kamahori et al.
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Modelsby Keisuke Kamahori, Tian Tang, Yile Gu,…
Summary of Semi-supervised Learning For Bilingual Lexicon Induction, by Paul Garnier and Gauthier Guinet
Semi-Supervised Learning for Bilingual Lexicon Inductionby Paul Garnier, Gauthier GuinetFirst submitted to arxiv on: 10…
Summary of Distilling Symbolic Priors For Concept Learning Into Neural Networks, by Ioana Marinescu et al.
Distilling Symbolic Priors for Concept Learning into Neural Networksby Ioana Marinescu, R. Thomas McCoy, Thomas…
Summary of A Tale Of Tails: Model Collapse As a Change Of Scaling Laws, by Elvis Dohmatob et al.
A Tale of Tails: Model Collapse as a Change of Scaling Lawsby Elvis Dohmatob, Yunzhen…
Summary of Understanding the Training Speedup From Sampling with Approximate Losses, by Rudrajit Das et al.
Understanding the Training Speedup from Sampling with Approximate Lossesby Rudrajit Das, Xi Chen, Bertram Ieong,…
Summary of Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine, by Shayan Meshkat Alsadat et al.
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machineby Shayan Meshkat…