Uncertainty Reasoning AND Machine learning: techniques
Common descendants
29 Documents
Christopher Manning sur X : "Now that everyone is writing LLM programs, the idea of doing approximate bayesian inference by sampling along linguistic pipelines (rather than k-best, etc.) is more relevant again"
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2024-03-19 About
[2011.06225] A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
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2022-09-08 About
[2008.07267] A Survey of Active Learning for Text Classification using Deep Neural Networks
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2022-09-06 About
Why generative modeling
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2021-01-12 About
[2006.09462] Selective Question Answering under Domain Shift
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2020-06-30 About
Max Little sur Twitter : "Causal bootstrapping - a simple way of doing causal inference using arbitrary machine learning algo..."
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2020-03-08 About
[2002.11402] Detecting Potential Topics In News Using BERT, CRF and Wikipedia
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2020-02-27 About
A Joint Model for Entity Analysis: Coreference, Typing, and Linking (Greg Durrett, Dan Klein 2014)
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2020-01-09 About
Bayesian deep learning with Fastai : how not to be uncertain about your uncertainty !
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2019-11-29 About
[1011.4088] An Introduction to Conditional Random Fields
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2019-10-13 About
[1904.13001] Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
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2019-07-04 About
[1506.02142] Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
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2019-05-13 About
Uncertainty estimation for Neural Network — Dropout as Bayesian Approximation
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2019-05-13 About
[1806.04411] Named Entity Recognition with Extremely Limited Data
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2019-04-11 About
Durk Kingma sur Twitter : about likelihood-based generative models
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2018-12-07 About
Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch
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2018-12-04 About
Deep Bayesian Neural Networks. – Stefano Cosentino – Medium
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2018-11-05 About
Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI - Home
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2018-11-05 About
Effect of Non-linear Deep Architecture in Sequence Labeling
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2018-10-22 About
Named Entity Recognition and Classification with Scikit-Learn
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2018-09-16 About
A Framework for Semi supervised Concept Extraction from MOOC content (2017)
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2018-08-12 About
Named Entity Recognition and the Road to Deep Learning (2017)
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2018-05-20 About
Named Entity Recognition and the Stanford NER Software (slides)
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2018-05-20 About
Stanford Named Entity Recognizer
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2018-05-20 About
How to Train your Own Model with NLTK and Stanford NER Tagger? (for English, French, German…)
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2018-05-20 About
[1508.01991] Bidirectional LSTM-CRF Models for Sequence Tagging
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2018-03-05 About
Sequence Tagging with Tensorflow
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2018-03-05 About
Named Entity Recognition using Word Embedding as a Feature (2016)
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2017-10-01 About
On Bayesian inference, maximum entropy and Support Vector Machines methods
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2014-04-25 About