Au fil des stages et des réunions, elle avait appris à taire cela pour s'épargner ces regards d'étonnement un peu écœuré qu'elle connaissait si bien. S'ils ne la blessaient plus, elle encore préférait s'en passer. Mais vraiment, #classifier les documents la détendait profondément.
Elle reposa sa tasse sans quitter des yeux son abrégé.
Bon, songea-t-elle, peut-être qu'elle exagérait un peu en s'attaquant à sa bibliothèque personnelle...
#microfiction Clin d'œil à la team #profdoc
#profdoc #microfiction #classifier #Writever
Compressors such as #gzip + #kNN (k-nearest-neighbor i.e. your grandparents' #classifier) beats the living daylights of Deep neural networks (#DNNs) in sentence classification.
H/t @lgessler
Without any training parameters, this non-parametric, easy and lightweight (no #GPU) method achieves results that are competitive with non-pretrained deep learning methods on six in-distribution datasets.It even outperforms BERT on all five OOD datasets.
#gzip #knn #classifier #dnns #gpu #ai #machinelearning
I have plenty more achievable goals for https://schizo.social (like multi-account, or #Calckey support) but something I'd love to try is #classifying posts with #machineLearning #tfidf
I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that #classify highly.
Not so much an #algorithm, as a #filter.
#classifier #webdev #ml #ai #filter #algorithm #classify #tfidf #machinelearning #classifying #calckey
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
Action editor: Vincent Dumoulin.
#generalization #classifier #classification
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
Action editor: Hsuan-Tien Lin.
New #SurveyCertification:
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
#surveycertification #classifiers #classifier #roc
Finding Competence Regions in Domain Generalization
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe
Action editor: Hanwang Zhang.
#classifiers #Accuracy #classifier
Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration
Kaspar Valk, Meelis Kull
Action editor: Aditya Menon.
#classifiers #classifier #calibration
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging
#supervised #labeling #classifier
Invariant Feature Coding using Tensor Product Representation
#representations #tensor #classifier
'Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption', by Olivier Coudray, Christine Keribin, Pascal Massart, Patrick Pamphile.
http://jmlr.org/papers/v24/22-067.html
#labeled #classification #classifier
#labeled #classification #classifier
Finding Competence Regions in Domain Generalization
#classifiers #Accuracy #classifier
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal, Jeremias Sulam
Action editor: Jinwoo Shin.
#adversarial #robustness #classifier
Bridging performance gap between minimal and maximal SVM models
Ondrej Such, René Fabricius
Approximating Naive Bayes on Unlabelled Categorical Data
#classification #classifier #bayes
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
#classifier #generalization #deep
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann
#classification #classify #classifier
Predicting Out-of-Domain Generalization with Neighborhood Invariance
#generalization #classifier #classification
Simple Non-Parametric Calibration of Multi-Class Classifiers
#classifier #classifiers #calibration
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation
Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han
#classify #labeled #classifier