Top Tweets for #classifiers
Combinatorial Capacity of modReLU Complex Networks: VC-Dimension Bounds and Lower Limits
Mehmet Altunören.
Action editor: Moshe Eliasof.
https://t.co/WsO4qXkDyZ
#classifiers #cvnns #complex
Another example, the classifier can show that there are three pictures on a wall (in various locations). #ASL #Classifiers #signingsavvy
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
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
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

A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings
https://t.co/DwfUr2HeDh
#unlearning #classifiers #classifier
For example: take-a-pill, take medicine by spoon, apply an-ointment, take-medicine-by injection, by-patch, by-ear. #ASL #classifiers #linguistics #signingsavvy
For example, an instrumental classifier can be used to communicate the different ways that medicine may betaken or applied. #ASL #classifiers #linguistics #signingsavvy
Instrumental classifiers show how something is handled, held or used. #ASL #Linguistics #Classifiers #signingsavvy
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
'Classification Under Local Differential Privacy with Model Reversal and Model Averaging', by Caihong Qin, Yang Bai.
https://t.co/4JcvDBxwk3
#privacy #classifiers #classification
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
The Hidden Cost of Modeling P(x): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
https://t.co/bLFY0zOfFx
#privacy #classifiers #generative
BandAid: A Plug-in Patch for Backdoor Defenses against Clean-Label Attacks in NLP
https://t.co/rZF3uy4Rf8
#backdoors #backdoor #classifiers
Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation
https://t.co/Lp1ckRMBuI
#classifiers #twin #learning
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
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
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
'A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning', by Stephen M. S. Lee, Mehdi Soleymani.
https://t.co/VLJIlyK4eu
#classifier #classifiers #supervised
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion...
Nils Neukirch, Johanna Vielhaben, Nils Strodthoff.
Action editor: Zhihui Zhu.
https://t.co/Ub9BMQejHo
#cnns #classifiers #vision
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