Summary of Probabilistic Lipschitzness and the Stable Rank For Comparing Explanation Models, by Lachlan Simpson et al.
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Modelsby Lachlan Simpson, Kyle Millar, Adriel…
Summary of Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning, by Weijieying Ren et al.
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuningby Weijieying Ren, Xinlong Li, Lei Wang,…
Summary of Dr. Strategy: Model-based Generalist Agents with Strategic Dreaming, by Hany Hamed et al.
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreamingby Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon,…
Summary of Loss-aware Curriculum Learning For Heterogeneous Graph Neural Networks, by Zhen Hao Wong et al.
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networksby Zhen Hao Wong, Hansi Yang, Xiaoyi Fu,…
Summary of Bp-deeponet: a New Method For Cuffless Blood Pressure Estimation Using the Physcis-informed Deeponet, by Lingfeng Li and Xue-cheng Tai and Raymond Chan
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONetby Lingfeng Li,…
Summary of Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features, by Tina Behnia et al.
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Featuresby Tina Behnia, Christos ThrampoulidisFirst submitted to…
Summary of Uncertainty-based Extensible Codebook For Discrete Federated Learning in Heterogeneous Data Silos, by Tianyi Zhang et al.
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silosby Tianyi Zhang, Yu Cao,…
Summary of On the Convergence Of Differentially-private Fine-tuning: to Linearly Probe or to Fully Fine-tune?, by Shuqi Ke et al.
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?by Shuqi Ke,…
Summary of Stop Relying on No-choice and Do Not Repeat the Moves: Optimal, Efficient and Practical Algorithms For Assortment Optimization, by Aadirupa Saha et al.
Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms…
Summary of Digic: Domain Generalizable Imitation Learning by Causal Discovery, By Yang Chen et al.
DIGIC: Domain Generalizable Imitation Learning by Causal Discoveryby Yang Chen, Yitao Liang, Zhouchen LinFirst submitted…