Poster "cross-entropy loss" Papers

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Better autoregressive regression with LLMs via regression-aware fine-tuning

Michal Lukasik, Zhao Meng, Harikrishna Narasimhan et al.

Cut Your Losses in Large-Vocabulary Language Models

Erik Wijmans, Brody Huval, Alexander Hertzberg et al.

ICLR 2025arXiv:2411.09009

Divergence of Neural Tangent Kernel in Classification Problems

Zixiong Yu, Songtao Tian, Guhan Chen

Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios

Hongwei Wen, Annika Betken, Hanyuan Hang

Boosting Adversarial Training via Fisher-Rao Norm-based Regularization

Xiangyu Yin, Wenjie Ruan

CVPR 2024arXiv:2403.17520

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model

Hien Dang, Tho Tran Huu, Tan Nguyen et al.

ICML 2024arXiv:2401.02058

Neural Collapse in Multi-label Learning with Pick-all-label Loss

Pengyu Li, Xiao Li, Yutong Wang et al.

ICML 2024arXiv:2310.15903

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data

Rui Miao, Kaixiong Zhou, Yili Wang et al.

ICML 2024arXiv:2405.15564

Sequential Modeling Enables Scalable Learning for Large Vision Models

Yutong Bai, Xinyang Geng, Karttikeya Mangalam et al.

CVPR 2024arXiv:2312.00785