フォロー
Allison Del Giorno
Allison Del Giorno
その他の名前Allie Del Giorno
Microsoft Research
確認したメール アドレス: microsoft.com - ホームページ
タイトル
引用先
引用先
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
arXiv preprint arXiv:2404.14219, 2024
5412024
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
4832023
Textbooks are all you need ii: phi-1.5 technical report
Y Li, S Bubeck, R Eldan, A Del Giorno, S Gunasekar, YT Lee
arXiv preprint arXiv:2309.05463, 2023
3452023
A discriminative framework for anomaly detection in large videos
A Del Giorno, JA Bagnell, M Hebert
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
2492016
Phi-2: The surprising power of small language models
M Javaheripi, S Bubeck, M Abdin, J Aneja, S Bubeck, CCT Mendes, ...
Microsoft Research Blog 1 (3), 3, 2023
1692023
Skipdecode: Autoregressive skip decoding with batching and caching for efficient llm inference
L Del Corro, A Del Giorno, S Agarwal, B Yu, A Awadallah, S Mukherjee
arXiv preprint arXiv:2307.02628, 2023
442023
Log-densenet: How to sparsify a densenet
H Hu, D Dey, A Del Giorno, M Hebert, JA Bagnell
arXiv preprint arXiv:1711.00002, 2017
432017
Textbooks Are All You Need (2023)
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
152023
Textbooks are all you need (arXiv: 2306.11644). arXiv
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
122023
A sparse coding model of V1 produces surround suppression effects in response to natural scenes
AD Giorno, M Zhu, CJ Rozell
BMC Neuroscience 14 (Suppl 1), P335, 2013
42013
Methodology for extracting activity from functional calcium imaging data
A Del Giorno, N Toporikova, N Mellen, RJ Butera
BMC Neuroscience 13, 1-2, 2012
12012
Generation and deployment of context-specific machine learning models
G Kirshenboim, S Ravgad, S Shah, D Dey, AP Del Giorno
US Patent App. 18/101,279, 2024
2024
Relationships in Instance Segmentation and Anomaly Detection
A Del Giorno
Carnegie Mellon University, 2022
2022
Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection
A Del Giorno, JA Bagnell, M Hebert
arXiv preprint arXiv:1709.04549, 2017
2017
16-831 Final Report: Online Anomaly Detection in Videos
A Del Giorno, H Hu, N Rhinehart
2014
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