Estimating Expected Calibration Error for Positive-Unlabeled Learning
Ryuichi Kiryo, Futoshi Futami, Masashi Sugiyama
Action editor: Bruno Loureiro
https://openreview.net/forum?id=SvoBtLIrPZ
#classifiers #classifier #supervised
New #J2C Certification:
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://openreview.net/forum?id=UP9bx1WJwR
#classifiers #visualize #graphs
Ortolan bunting sings karaoke
Doctoral Thesis:
Improving #bird #sound #classifiers for #passive #acoustic #monitoring
In recent years, passive acoustic monitoring #PAM has emerged as a powerful tool for biodiversity assessment for vocalizing taxa such as birds, bats, amphibians and insects.
helda.helsinki.fi/items/219f9a...
Adversarial Surrogate Risk Bounds for Binary Classification
Natalie Frank
Action editor: Han Bao
https://openreview.net/forum?id=Bay1cHLk7h
#adversarial #classifiers #risk
Bags of Projected Nearest Neighbours: Competitors to Random Forests?
David P. Hofmeyr
Action editor: Andres Masegosa
https://openreview.net/forum?id=ZKLj2U0CsO
#classifiers #classifier #forests
New #J2C Certification:
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
https://openreview.net/forum?id=b68QOenPWy
#classification #classifiers #classifier
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Gam...
Yunpeng Jiang, Yutong Ban, Paul Weng
Action editor: Tongzheng Ren
https://openreview.net/forum?id=zNsfgCns7x
#classifiers #classifier #adversarial
Identifying Spurious Correlations using Counterfactual Alignment
New #TMLR-Paper-with-Video:
Identifying Spurious Correlations using Counterfactual Alignment
Joseph Paul Cohen, Louis Blankemeier, Akshay S Chaudhari
https://tmlr.infinite-conf.org/paper_pages/Utjw2z1ale
#classifiers #classifier #counterfactual
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extens...
New #TMLR-Paper-with-Video:
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extens...
Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire
https://tmlr.infinite-conf.org/paper_pages/3YlOr7BHkx
#classifiers #classifier #labeling
Fairness Under Demographic Scarce Regime
New #TMLR-Paper-with-Video:
Fairness Under Demographic Scarce Regime
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
https://tmlr.infinite-conf.org/paper_pages/TB18G0w6Ld
#fairness #attributes #classifiers
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
New #TMLR-Paper-with-Video:
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
https://tmlr.infinite-conf.org/paper_pages/b68QOenPWy
#classification #classifiers #classifier
Mathematical Characterization of Better-than-Random Multiclass Models
Sébastien Foulle
Action editor: Sivan Sabato
https://openreview.net/forum?id=VdW9SkALSd
#classifiers #multiclass #classes
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space
Sheng Yang, Peihan Liu, Cengiz Pehlevan
Action editor: Alberto Bietti
https://openreview.net/forum?id=eIPwJgadfZ
#classifiers #classification #hyperbolic
Can Kernel Methods Explain How the Data Affects Neural Collapse?
Vignesh Kothapalli, Tom Tirer
Action editor: Marco Mondelli
https://openreview.net/forum?id=MbF1gYfIlY
#classifiers #kernels #kernel
When resampling/reweighting improves feature learning in imbalanced classification? A toy-model s...
Tomoyuki Obuchi, Toshiyuki Tanaka
Action editor: Bruno Loureiro
https://openreview.net/forum?id=spqbyeGyLR
#classifiers #imbalanced #classification
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian Gregor Gruber, Francis R. Bach
Action editor: Masha Itkina
https://openreview.net/forum?id=BPDVZajOW5
#classifiers #calibration #classification
Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural ...
Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Action editor: Changjian Shui
https://openreview.net/forum?id=2nRcWy3RLM
#adversarial #fairness #classifiers
Identifying Spurious Correlations using Counterfactual Alignment
Joseph Paul Cohen, Louis Blankemeier, Akshay S Chaudhari
Action editor: Dmitry Kangin
https://openreview.net/forum?id=Utjw2z1ale
#classifiers #classifier #counterfactual
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer, Daniel Ramos
Action editor: Takashi Ishida
https://openreview.net/forum?id=qbrE0LR7fF
#classifiers #bayes #posteriors
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
Action editor: Eric Eaton
https://openreview.net/forum?id=b68QOenPWy
#classification #classifiers #classifier
Partial-Label Learning with a Reject Option
Tobias Fuchs, Florian Kalinke, Klemens Böhm
Action editor: Aditya Menon
https://openreview.net/forum?id=wS1fD0ofay
#supervised #labeled #classifiers
Cost of false positives | Kellan Elliott-McCrea: Blog
https://alecmuffett.com/article/110781
#OnlineHarms #OnlineSafetyAct #classifiers #ofcom
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep, Yixuan Li
Action editor: Changjian Shui
https://openreview.net/forum?id=FmA1JPWBM8
#classifiers #classifier #classification
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and ext...
Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire
Action editor: Aditya Menon
https://openreview.net/forum?id=3YlOr7BHkx
#classifiers #classifier #labeling
Selective Classification Under Distribution Shifts
Hengyue Liang, Le Peng, Ju Sun
Action editor: Yonatan Bisk
https://openreview.net/forum?id=dmxMGW6J7N
#classifiers #classification #classifier
Fairness Under Demographic Scarce Regime
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
Action editor: Shiyu Chang
https://openreview.net/forum?id=TB18G0w6Ld
#fairness #attributes #classifiers
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
Action editor: Pin-Yu Chen
https://openreview.net/forum?id=pyD6cujUmL
#adversarial #classifiers #robust
Severi et al.'s "Poisoning Network Flow Classifiers"
Then came Severi et al.'s "Poisoning Network Flow #Classifiers", investigating the challenging scenario of clean-label #poisoning where the adversary's capabilities are constrained to tampering only with the #TrainingData. (www.acsac.org/2023/p...) 3/4
Do Modern #ImageNet #Classifiers Accurately Predict Perceptual Similarity? ai.googleblog.com/2022/10/do-modern-imagen...
