Detecting Systematic Deviations in Data and Models
- Skyler Speakman
- Girmaw Abebe Tadesse
- et al.
- 2023
- IEEE Computer
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- Machine Learning
1384 results for Machine Learning
Flood Mapping Using Sentinel-1 Images and Lightweight U-Nets Trained on Synthesized Events
- Maciel Zortea
- Michal Muszynski
- et al.
- 2023
- IEEE GRSL
An exact mapping from ReLU networks to spiking neural networks
- Ana Stanojevic
- Stanisław Woźniak
- et al.
- 2022
- arXiv
pylspack: Parallel Algorithms and Data Structures for Sketching, Column Subset Selection, Regression, and Leverage Scores
- Aleksandros Sobczyk
- Efstratios Gallopoulos
- 2022
- ACM TOMS
Distributed Incremental Machine Learning for Big Time Series Data
- Dhaval Salwala
- Seshu Tirupathi
- et al.
- 2022
- Big Data 2022
A Reinforcement Learning Framework Built Within a SWAT Model Physical Environment to Inform Crop Management
- Fearghal O'Donncha
- Malvern Madondo
- et al.
- 2022
- AGU Fall 2022
Using Temporal Graph Neural Networks to Leverage High Fidelity Observation Data for Improving Generalizability of Hydrological Models
- Raya Horesh
- Muneeza Azmat
- et al.
- 2022
- AGU Fall 2022
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering
- Arafat Sultan
- Avi Sil
- et al.
- 2022
- EMNLP 2022
Zero-Shot Dynamic Quantization for Transformer Inference
- Yousef El-Kurdi
- Jerry Quinn
- et al.
- 2022
- EMNLP 2022
Time-encoded multiplication-free spiking neural networks: application to data classification tasks
- Ana Stanojevic
- Giovanni Cherubini
- et al.
- 2022
- Neural Computing and Applications