bookmarks (hide)167
- Data Protection in the Context of Big Data and AI
- Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
- Visualizing machine learning one concept at a time.
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.
- Being highly enthusiastic about research in deep learning I was always searching for unexplored areas in the field (Though it is tough to find one). I had previously worked on Maths word problem…
publications (hide)291
- Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, page 1434--1443. (2022)
- IEEE Transactions on Network and Service Management, (March 2024)
- IEEE Transactions on Network and Service Management, (2024)
- IEEE Trans. Pattern Anal. Mach. Intell., 35 (8): 1798-1828 (2013)
- Pattern Recognition, (2024)
- 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), page 136–141. New York, NY, USA, Association for Computing Machinery, (2023)
- Data Mining and Knowledge Discovery, 37 (1): 136--166 (2023)
- (December 2019)arXiv:1912.12132 cs, stat.
- (May 2023)arXiv:2206.06488 cs.
- Science of The Total Environment, (December 2021)
- (2022)
- (2022)cite arxiv:2209.11055.
- (2022)cite arxiv:2211.12760Comment: Accepted to WACV 2023.
- (2022)cite arxiv:2211.12760Comment: Accepted to WACV 2023.
- Geoscientific Model Development, 13 (4): 2109--2124 (2020)
- Seismological Society of America, 91 (6): 3433--3443 (2020)
- Machine Learning, 109 (2): 373--440 (2020)
- Remote Sensing, 12 (24): 4142 (2020)
- Geoscientific Model Development, 11 (10): 3999--4009 (2018)
- ACM Comput. Surv., (February 2022)
