Papers citing 'Temperature check: theory and practice for training models with softmax-cross-entropy losses'

Title
LILogic Net: Compact Logic Gate Networks with Learnable Connectivity for Efficient Hardware Deployment Katarzyna Fojcik Renaldas Zioma Jogundas Armaitis NAI GNN 120 0 0 15 Nov 2025
Subquadratic Algorithms and Hardness for Attention with Any Temperature Shreya Gupta Boyang Huang Barna Saha Yinzhan Xu Christopher Ye 219 2 0 20 May 2025
Comparative sentiment analysis of public perception: Monkeypox vs. COVID-19 behavioral insights Mostafa Mohaimen Akand Faisal Rabeya Amin Jhuma Jamini Jasim 239 0 0 12 May 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification Tatsuhito Hasegawa Shunsuke Sakai 200 1 0 22 Apr 2025
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness Hao Xuan Bokai Yang Xingyu Li AAML 219 13 0 28 Feb 2025
Temperature Optimization for Bayesian Deep LearningConference on Uncertainty in Artificial Intelligence (UAI), 2024 Kenyon Ng Chris van der Heide Liam Hodgkinson Susan Wei BDL 256 0 0 08 Oct 2024
The Optimization Landscape of SGD Across the Feature Learning StrengthInternational Conference on Learning Representations (ICLR), 2024 Alexander B. Atanasov Alexandru Meterez James B. Simon Cengiz Pehlevan 354 9 0 06 Oct 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 159 11 0 14 Apr 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness Vyas Raina Samson Tan Volkan Cevher Aditya Rawal Sheng Zha George Karypis AAML 251 4 0 27 Feb 2024
Feature learning as alignment: a structural property of gradient descent in non-linear neural networks Daniel Beaglehole Ioannis Mitliagkas Atish Agarwala MLT 240 4 0 07 Feb 2024
Deconstructing the Goldilocks Zone of Neural Network InitializationInternational Conference on Machine Learning (ICML), 2024 Artem Vysogorets Anna Dawid Julia Kempe 184 3 0 05 Feb 2024
Neglected Hessian component explains mysteries in Sharpness regularization Yann N. Dauphin Atish Agarwala Hossein Mobahi FAtt 282 12 0 19 Jan 2024
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning Matthias Lalisse Kai Han Xingchen Wan P. Smolensky 180 7 0 03 May 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenonInternational Conference on Machine Learning (ICML), 2023 Atish Agarwala Yann N. Dauphin 156 24 0 17 Feb 2023
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting Xiang Zhou Yuan Zeng Yi Gong 145 3 0 13 Feb 2023
Probability-Dependent Gradient Decay in Large Margin Softmax Siyuan Zhang Linbo Xie Ying-Cong Chen 116 0 0 31 Oct 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty Thomas George Guillaume Lajoie A. Baratin 123 7 0 19 Sep 2022
Grassmannian learning mutual subspace method for image set recognition L. S. Souza Naoya Sogi B. Gatto Takumi Kobayashi Kazuhiro Fukui 117 12 0 08 Nov 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 287 35 0 08 Oct 2021
Tilting the playing field: Dynamical loss functions for machine learningInternational Conference on Machine Learning (ICML), 2021 M. Ruíz-García Ge Zhang S. Schoenholz Andrea J. Liu 191 11 0 07 Feb 2021