Summary of Stochastic Resetting Mitigates Latent Gradient Bias Of Sgd From Label Noise, by Youngkyoung Bae et al.
Stochastic Resetting Mitigates Latent Gradient Bias of SGD from Label Noiseby Youngkyoung Bae, Yeongwoo Song,…
Summary of From Unstructured Data to In-context Learning: Exploring What Tasks Can Be Learned and When, by Kevin Christian Wibisono et al.
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and Whenby Kevin…
Summary of Streamflow Prediction with Uncertainty Quantification For Water Management: a Constrained Reasoning and Learning Approach, by Mohammed Amine Gharsallaoui et al.
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approachby Mohammed…
Summary of Stydesty: Min-max Stylization and Destylization For Single Domain Generalization, by Songhua Liu et al.
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalizationby Songhua Liu, Xin Jin, Xingyi Yang,…
Summary of Improving Generalization and Convergence by Enhancing Implicit Regularization, By Mingze Wang et al.
Improving Generalization and Convergence by Enhancing Implicit Regularizationby Mingze Wang, Jinbo Wang, Haotian He, Zilin…
Summary of Gs-phong: Meta-learned 3d Gaussians For Relightable Novel View Synthesis, by Yumeng He et al.
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View Synthesisby Yumeng He, Yunbo Wang, Xiaokang YangFirst…
Summary of Provably Efficient Interactive-grounded Learning with Personalized Reward, by Mengxiao Zhang et al.
Provably Efficient Interactive-Grounded Learning with Personalized Rewardby Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul MineiroFirst…
Summary of Generative Ai For Deep Reinforcement Learning: Framework, Analysis, and Use Cases, by Geng Sun et al.
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Casesby Geng Sun, Wenwen Xie,…
Summary of Fully-inductive Node Classification on Arbitrary Graphs, by Jianan Zhao et al.
Fully-inductive Node Classification on Arbitrary Graphsby Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael…
Summary of Sharpness-aware Minimization Enhances Feature Quality Via Balanced Learning, by Jacob Mitchell Springer et al.
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learningby Jacob Mitchell Springer, Vaishnavh Nagarajan, Aditi RaghunathanFirst…