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1GitHub - gerdm/prml: Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
https://github.com/gerdm/prml
14 days ago by @bshanks
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1The first AI model based on Yann LeCun’s vision for more human-like AI
https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/
6 months ago by @bshanks
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1[2404.17625] Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
https://arxiv.org/abs/2404.17625
7 months ago by @ofek
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1Machine Learning & Neural Networks Blog
https://ml-nn.eu/all.html
9 months ago by @avs
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ML
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1ltfp_book.pdf
https://www.di.ens.fr/%7Efbach/ltfp_book.pdf
a year ago by @bshanks
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learningtheory
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1Opus 1.5 released: Opus gets a machine learning upgrade | Hacker News
https://news.ycombinator.com/item?id=39593256
a year ago by @bshanks
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1Where is Noether's principle in machine learning? | Hacker News
https://news.ycombinator.com/item?id=39560862
a year ago by @bshanks
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1Where Is Noether's Principle in Machine Learning?
Noether
a year ago by @bshanks
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2An Opinionated Guide to ML Research
http://joschu.net/blog/opinionated-guide-ml-research.html
a year ago by @jomargi
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1Zayd's Blog – Why is machine learning 'hard'?
https://ai.stanford.edu/~zayd/why-is-machine-learning-hard.html
a year ago by @bshanks
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debug
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1A model of conceptual bootstrapping in human cognition | Nature Human Behaviour
https://www.nature.com/articles/s41562-023-01719-1
2 years ago by @bshanks
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1When would one use Random Forests over Gradient Boosted Machines (GBMs)? - Quora
https://www.quora.com/When-would-one-use-Random-Forests-over-Gradient-Boosted-Machines-GBMs
2 years ago by @bshanks
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1facebook/prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
https://github.com/facebook/prophet
2 years ago by @bshanks
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1Model development on Prophet stopped this year: https://medium.com/@cuongduong_3... | Hacker News
https://news.ycombinator.com/item?id=37665177
2 years ago by @bshanks
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1JAX Quickstart — JAX documentation
https://jax.readthedocs.io/en/latest/notebooks/quickstart.html
2 years ago by @bshanks
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1Microsoft Researchers Propose Neural Graphical Models (NGMs): A New Type of Probabilistic Graphical Models (PGM) that Learns to Represent the Probability Function Over the Domain Using a Deep Neural Network - MarkTechPost
https://www.marktechpost.com/2023/09/26/microsoft-researchers-propose-neural-graphical-models-ngms-a-new-type-of-probabilistic-graphical-models-pgm-that-learns-to-represent-the-probability-function-over-the-domain-using-a-deep-neural-n/
2 years ago by @bshanks
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1GitHub - charliecb/Logion
Logion is a system for infilling text and detecting corruptions in ancient and medieval Greek works
2 years ago by @avs
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Digital_Humanities
Griechisch
ML
Digital_HumanitiesGriechischML
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1Run 100B+ language models at home, BitTorrent‑style | Hacker News
https://news.ycombinator.com/item?id=35239972
2 years ago by @bshanks
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1Petals – Decentralized platform for running 100B+ language models
https://petals.ml/
2 years ago by @bshanks
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1Would be interesting to get a list of those 40 papers mentioned | Hacker News
https://news.ycombinator.com/item?id=34638223
2 years ago by @bshanks
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publications (hide)3085
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2Are emergent abilities of large language models a mirage?
R. Schaeffer, B. Miranda, and S. Koyejo. Proceedings of the 37th International Conference on Neural Information Processing Systems, page 55565--55581. Red Hook, NY, USA, Curran Associates Inc., (Dec 10, 2023)
2 months ago by @jaeschke
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ai
emergence
evaluation
learning
llm
machine
math
metric
ml
aiemergenceevaluationlearningllmmachinemathmetricml
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2Deep Learning: Foundations and Concepts
C. Bishop, and H. Bishop. Springer International Publishing, (2024)
3 months ago by @jaeschke
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book
deeplearning
learning
machine
ml
bookdeeplearninglearningmachineml
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1Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
V. Lialin, V. Deshpande, X. Yao, and A. Rumshisky. (2024)
5 months ago by @mjradwin
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ml
ml
(0)
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2FrAug: Frequency Domain Augmentation for Time Series Forecasting
M. Chen, Z. Xu, A. Zeng, and Q. Xu. (2023)
6 months ago by @alfranz
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dl
ml
ts
dlmlts
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1Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health
J. Killian, M. Jain, Y. Jia, J. Amar, E. Huang, and M. Tambe. (2023)
7 months ago by @mjradwin
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ml
ml
(0)
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1Quantifying the impact of misinformation and vaccine-skeptical content on Facebook
J. Allen, D. Watts, and D. Rand. Science, 384 (6699): eadk3451 (2024)
8 months ago by @pfcdgayo
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ML
content-analysis
facebook
misinformation
social-media
MLcontent-analysisfacebookmisinformationsocial-media
(0)
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3Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on Twitter
M. Saeed, S. Ali, P. Paudel, J. Blackburn, and G. Stringhini. (2024)
8 months ago by @pfcdgayo
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ML
classification
disinformation
social-media
twitter
MLclassificationdisinformationsocial-mediatwitter
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2On the Automated Processing of User Feedback
W. Maalej, V. Biryuk, J. Wei, and F. Panse. ArXiv, (2024)
8 months ago by @pfcdgayo
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LLM
ML
NLP
SMA
LLMMLNLPSMA
(0)
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2Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
C. Guan, Y. Zhu, Y. Bai, and L. Wang. (2024)
8 months ago by @pfcdgayo
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LLM
ML
classification
LLMMLclassification
(0)
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1A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study
F. Barzallo, M. Baldeon-Calisto, M. Pérez, M. Moscoso, D. Navarrete, D. Riofr\'ıo, P. Medina-Peréz, S. Lai-Yuen, D. Ben\'ıtez, N. Peréz and 1 other author(s). Social Science Computer Review, (2024)
8 months ago by @pfcdgayo
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ML
NLP
classification
MLNLPclassification
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1Brief state of the art in social information mining: Practical application in analysis of trends in French legislative 2024
J. Gutierrez. (2024)
8 months ago by @pfcdgayo
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ML
NLP
public-opinion
social-media
MLNLPpublic-opinionsocial-media
(0)
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2A Debiased Nearest Neighbors Framework for Multi-Label Text Classification
Z. Cheng, Z. Jiang, Y. Yin, Z. Chen, C. Wang, S. Ge, Q. Huang, and Q. Gu. (2024)
8 months ago by @pfcdgayo
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ML
classification
MLclassification
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1Measuring Climate Change Salience in Political Manifestos: A Computational Text Analysis Approach
M. Sanford, S. Pianta, G. Musto, and N. Schmid. (2024)
8 months ago by @pfcdgayo
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ML
classification
climate
discourse
MLclassificationclimatediscourse
(0)
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2Large-scale demographic inference of social media users in a low-resource scenario
K. Lasri, M. Tonneau, H. Naushan, N. Malhotra, I. Farouq, V. Orozco-Olvera, and S. Fraiberger. Proceedings of the International AAAI Conference on Web and Social Media, 17, page 519--529. (2023)
8 months ago by @pfcdgayo
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ML
SMA
demographic-inference
MLSMAdemographic-inference
(0)
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1Comparing Generative Large Language Models to Other Text Analysis Methods
N. Than. (2024)
8 months ago by @pfcdgayo
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LLM
ML
NLP
text-analysis
LLMMLNLPtext-analysis
(0)
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3Computational analysis of communication
W. Van Atteveldt, D. Trilling, and C. Calderon. John Wiley & Sons, (2022)
8 months ago by @pfcdgayo
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CSS
ML
text-analysis
CSSMLtext-analysis
(0)
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1Enhancing prediction of user stance for social networks rumors
K. Khaled, A. ElKorany, and C. Ezzat. International Journal of Electrical and Computer Engineering (IJECE), (2023)
8 months ago by @pfcdgayo
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ML
social-media
twitter
MLsocial-mediatwitter
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2Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods.
K. Jaidka, S. Giorgi, H. Schwartz, M. Kern, L. Ungar, and J. Eichstaedt. Proc. Natl. Acad. Sci. USA, 117 (19): 10165-10171 (2020)
8 months ago by @pfcdgayo
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ML
text-analysis
twitter
MLtext-analysistwitter
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1Supplementing Sensitive Survey Data by Leveraging Social Listening with Machine Learning Models
H. Smalley, and J. Walker Orr. 2023 Big Data Meets Survey Science (BigSurv), page 1-8. (October 2023)
8 months ago by @pfcdgayo
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ML
NLP
Survey
Twitter
MLNLPSurveyTwitter
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1Can Anyone Truly Create Stunning Images Without Design Expertise?
GenXi. (2024)
8 months ago by @genxi
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AI
Dall
Ml
genxi
AIDallMlgenxi
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