"classification tasks" Papers

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Additive Models Explained: A Computational Complexity Approach

Shahaf Bassan, Michal Moshkovitz, Guy Katz

NEURIPS 2025arXiv:2510.21292
1
citations

Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy

Rob Romijnders, Antti Koskela

NEURIPS 2025arXiv:2407.04884
2
citations

Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality

Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam et al.

CVPR 2025

Rethinking Approximate Gaussian Inference in Classification

Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig

NEURIPS 2025arXiv:2502.03366
1
citations

Self Iterative Label Refinement via Robust Unlabeled Learning

Hikaru Asano, Tadashi Kozuno, Yukino Baba

NEURIPS 2025arXiv:2502.12565
1
citations

Split conformal classification with unsupervised calibration

Santiago Mazuelas

NEURIPS 2025arXiv:2510.07185

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

NEURIPS 2025spotlight

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning

Jingyang Li, Jiachun Pan, Vincent Tan et al.

ICLR 2025arXiv:2410.11206
3
citations

Uncertainty Weighted Gradients for Model Calibration

Jinxu Lin, Linwei Tao, Minjing Dong et al.

CVPR 2025arXiv:2503.22725
3
citations

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining

Qi Zhang, Tianqi Du, Haotian Huang et al.

ICML 2024arXiv:2407.00935
6
citations

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Geng Xinyu, Jiaming Wang, Jiawei Gong et al.

CVPR 2024arXiv:2403.13351
10
citations

Rethinking Momentum Knowledge Distillation in Online Continual Learning

Nicolas MICHEL, Maorong Wang, Ling Xiao et al.

ICML 2024arXiv:2309.02870
22
citations

Uncertainty Estimation by Density Aware Evidential Deep Learning

Taeseong Yoon, Heeyoung Kim

ICML 2024arXiv:2409.08754
10
citations

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

AAAI 2024paperarXiv:2310.11077
6
citations