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Classification

15,289 papers

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Papers

KFNN: K-Free Nearest Neighbor For Crowdsourcing NIPS 2024
Conformalized Credal Set Predictors NIPS 2024
Learning Low-Rank Feature for Thorax Disease Classification NIPS 2024
Navigating Extremes: Dynamic Sparsity in Large Output Spaces NIPS 2024
Robust Conformal Prediction Using Privileged Information NIPS 2024
Deep Support Vectors NIPS 2024
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset NIPS 2024
Learning the Latent Causal Structure for Modeling Label Noise NIPS 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NIPS 2024
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling NIPS 2024
Toward Semantic Gaze Target Detection NIPS 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NIPS 2024
Improving Neural Network Surface Processing with Principal Curvatures NIPS 2024
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge NIPS 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NIPS 2024
Analysis of Corrected Graph Convolutions NIPS 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities NIPS 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets NIPS 2024
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs NIPS 2024
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NIPS 2024
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics NIPS 2024
Using Noise to Infer Aspects of Simplicity Without Learning NIPS 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NIPS 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration NIPS 2024
The iNaturalist Sounds Dataset NIPS 2024