Poster "loss function design" Papers

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Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint

Guangkun Nie, Gongzheng Tang, Shenda Hong

ICLR 2025arXiv:2411.15216

Gatekeeper: Improving Model Cascades Through Confidence Tuning

Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha et al.

NEURIPS 2025arXiv:2502.19335

Learning from Interval Targets

Rattana Pukdee, Ziqi Ke, Chirag Gupta

NEURIPS 2025arXiv:2510.20925

More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning

Luong Tran, Thieu Vo, Anh Nguyen et al.

ICCV 2025arXiv:2508.20381

Sampled Estimators For Softmax Must Be Biased

Li-Chung Lin, Yaxu Liu, Chih-Jen Lin

SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models

HAOTIAN XU, Qingsong Peng, Jie Shi et al.

Improving SAM Requires Rethinking its Optimization Formulation

Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos et al.

ICML 2024arXiv:2407.12993

SCoRe: Submodular Combinatorial Representation Learning

Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.

ICML 2024arXiv:2310.00165