Summary of Explain, Agree, Learn: Scaling Learning For Neural Probabilistic Logic, by Victor Verreet et al.
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logicby Victor Verreet, Lennert De Smet, Luc…
Summary of Normalized Aopc: Fixing Misleading Faithfulness Metrics For Feature Attribution Explainability, by Joakim Edin et al.
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainabilityby Joakim Edin, Andreas Geert Motzfeldt,…
Summary of Impact Of Comprehensive Data Preprocessing on Predictive Modelling Of Covid-19 Mortality, by Sangita Das et al.
Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortalityby Sangita Das, Subhrajyoti MajiFirst…
Summary of Kraken: Inherently Parallel Transformers For Efficient Multi-device Inference, by Rohan Baskar Prabhakar et al.
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inferenceby Rohan Baskar Prabhakar, Hengrui Zhang, David WentzlaffFirst…
Summary of Sustaindc: Benchmarking For Sustainable Data Center Control, by Avisek Naug et al.
SustainDC: Benchmarking for Sustainable Data Center Controlby Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha,…
Summary of Enhancing Equitable Access to Ai in Housing and Homelessness System Of Care Through Federated Learning, by Musa Taib et al.
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learningby…
Summary of Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability, by Jiri Hron et al.
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectabilityby Jiri Hron,…
Summary of Con-fold — Explainable Machine Learning with Confidence, by Lachlan Mcginness and Peter Baumgartner
CON-FOLD – Explainable Machine Learning with Confidenceby Lachlan McGinness, Peter BaumgartnerFirst submitted to arxiv on:…
Summary of A Systematic Evaluation Of Generated Time Series and Their Effects in Self-supervised Pretraining, by Audrey Der et al.
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretrainingby Audrey Der,…
Summary of Incremental Structure Discovery Of Classification Via Sequential Monte Carlo, by Changze Huang and Di Wang
Incremental Structure Discovery of Classification via Sequential Monte Carloby Changze Huang, Di WangFirst submitted to…