Summary of Bayesian Nonparametrics: An Alternative to Deep Learning, by Bahman Moraffah
Bayesian Nonparametrics: An Alternative to Deep Learningby Bahman MoraffahFirst submitted to arxiv on: 29 Mar…
Bayesian Nonparametrics: An Alternative to Deep Learningby Bahman MoraffahFirst submitted to arxiv on: 29 Mar…
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networksby Marina Neseem, Conor McCullough, Randy Hsin, Chas…
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structuresby Lisa Mais,…
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasksby Xiaolei…
Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced…
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Educationby Markus J. Hofmann, Markus…
Universal Bovine Identification via Depth Data and Deep Metric Learningby Asheesh Sharma, Lucy Randewich, William…
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cellsby David Valiente,…
Causal Inference for Human-Language Model Collaborationby Bohan Zhang, Yixin Wang, Paramveer S. DhillonFirst submitted to…
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labelsby…