Summary of Navigate Beyond Shortcuts: Debiased Learning Through the Lens Of Neural Collapse, by Yining Wang et al.
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapseby Yining Wang, Junjie Sun,…
Summary of Multi-label Out-of-distribution Detection with Spectral Normalized Joint Energy, by Yihan Mei et al.
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energyby Yihan Mei, Xinyu Wang, Dell Zhang, Xiaoling…
Summary of Learning with Posterior Sampling For Revenue Management Under Time-varying Demand, by Kazuma Shimizu et al.
Learning with Posterior Sampling for Revenue Management under Time-varying Demandby Kazuma Shimizu, Junya Honda, Shinji…
Summary of Data-driven Error Estimation: Upper Bounding Multiple Errors Without Class Complexity As Input, by Sanath Kumar Krishnamurthy et al.
Data-driven Error Estimation: Upper Bounding Multiple Errors without Class Complexity as Inputby Sanath Kumar Krishnamurthy,…
Summary of Learning Robust Classifiers with Self-guided Spurious Correlation Mitigation, by Guangtao Zheng et al.
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigationby Guangtao Zheng, Wenqian Ye, Aidong ZhangFirst submitted…
Summary of Generative Adversarial Learning with Optimal Input Dimension and Its Adaptive Generator Architecture, by Zhiyao Tan et al.
Generative adversarial learning with optimal input dimension and its adaptive generator architectureby Zhiyao Tan, Ling…
Summary of Annot-mix: Learning with Noisy Class Labels From Multiple Annotators Via a Mixup Extension, by Marek Herde et al.
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extensionby Marek Herde,…
Summary of Exploring the Frontiers Of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond, by Jiuxiang Gu et al.
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyondby Jiuxiang Gu,…
Summary of Ted: Accelerate Model Training by Internal Generalization, By Jinying Xiao et al.
TED: Accelerate Model Training by Internal Generalizationby Jinying Xiao, Ping Li, Jie NieFirst submitted to…
Summary of Adapting to Distribution Shift by Visual Domain Prompt Generation, By Zhixiang Chi et al.
Adapting to Distribution Shift by Visual Domain Prompt Generationby Zhixiang Chi, Li Gu, Tao Zhong,…