Top Tweets for #classifiers

about 2 months ago

Another example, the classifier can show that there are three pictures on a wall (in various locations). #ASL #Classifiers #signingsavvy

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Matt Scientia

@MattScientia

about 2 months ago

Spare a thought for @Goldilocks who lost her job to AI. Bears claim temperature classification at scale just wasnt possible before, and that breakfast has to move on with the times like everything else. Harsh imho. #Ai #AiTookMyJob #classifiers #xai #grokimagine

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2 months ago

Inverse classification with logistic and softmax classifiers: efficient optimization Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada. Action editor: Dennis Wei. https://t.co/dqtdTJmBmG #classifiers #softmax #classifier

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ElVe @Elvec10

2 months ago

Qwen 3.5 Plus & Taiwan. A tale of 1984-style propaganda and classifiers. Fun fact: classifiers fire on "can you fact-check China's stance?" - Imagine giving your chatbot internet access and then getting mad at the fact that it finds out the truth 😂 #Taiwan #Classifiers #Qwen

Elvec10's tweet photo. Qwen 3.5 Plus & Taiwan. A tale of 1984-style propaganda and classifiers. Fun fact: classifiers fire on "can you fact-check China's stance?" - Imagine giving your chatbot internet access and then getting mad at the fact that it finds out the truth 😂 #Taiwan #Classifiers #Qwen https://t.co/16dsX5EhN3

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3 months ago

A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings https://t.co/DwfUr2HeDh #unlearning #classifiers #classifier

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3 months ago

For example: take-a-pill, take medicine by spoon, apply an-ointment, take-medicine-by injection, by-patch, by-ear. #ASL #classifiers #linguistics #signingsavvy

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3 months ago

For example, an instrumental classifier can be used to communicate the different ways that medicine may betaken or applied. #ASL #classifiers #linguistics #signingsavvy

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3 months ago

Instrumental classifiers show how something is handled, held or used. #ASL #Linguistics #Classifiers #signingsavvy

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Journal of Machine Learning Research @JmlrOrg

3 months ago

Adversarial Attacks in Weight-Space Classifiers Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein. Action editor: Guillermo Ortiz-Jimenez. https://t.co/JL3w1yZDWC #adversarial #attacks #classifiers

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3 months ago

'Classification Under Local Differential Privacy with Model Reversal and Model Averaging', by Caihong Qin, Yang Bai. https://t.co/4JcvDBxwk3 #privacy #classifiers #classification

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4 months ago

Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios Salome Kazeminia, Carsten Marr, Bastian Rieck. Action editor: Adín Ramírez Rivera. https://t.co/07Xn0zSPwB #supervised #classification #classifiers

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4 months ago

The Hidden Cost of Modeling P(x): Vulnerability to Membership Inference Attacks in Generative Text Classifiers https://t.co/bLFY0zOfFx #privacy #classifiers #generative

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4 months ago

BandAid: A Plug-in Patch for Backdoor Defenses against Clean-Label Attacks in NLP https://t.co/rZF3uy4Rf8 #backdoors #backdoor #classifiers

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4 months ago

Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation https://t.co/Lp1ckRMBuI #classifiers #twin #learning

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Certified papers at TMLR @TmlrCert

4 months ago

The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar et al.. Action editor: Christian Keup. https://t.co/D13mP0zaPK #classifiers #visualize #graphs

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4 months ago

New #J2CCertification: The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar et al. https://t.co/IpWFSO0NhS #classifiers #visualize #graphs

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Journal of Machine Learning Research @JmlrOrg

5 months ago

Estimating Expected Calibration Error for Positive-Unlabeled Learning Ryuichi Kiryo, Futoshi Futami, Masashi Sugiyama. Action editor: Bruno Loureiro. https://t.co/BJeEZ69HBE #classifiers #classifier #supervised

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5 months ago

'A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning', by Stephen M. S. Lee, Mehdi Soleymani. https://t.co/VLJIlyK4eu #classifier #classifiers #supervised

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