Summary of From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers, by Dylan Zhang et al.
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performersby Dylan Zhang, Justin Wang,…
Summary of Sam-e: Leveraging Visual Foundation Model with Sequence Imitation For Embodied Manipulation, by Junjie Zhang et al.
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulationby Junjie Zhang, Chenjia Bai,…
Summary of Pureebm: Universal Poison Purification Via Mid-run Dynamics Of Energy-based Models, by Omead Pooladzandi et al.
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Modelsby Omead Pooladzandi, Jeffrey Jiang, Sunay…
Summary of Deep Grokking: Would Deep Neural Networks Generalize Better?, by Simin Fan et al.
Deep Grokking: Would Deep Neural Networks Generalize Better?by Simin Fan, Razvan Pascanu, Martin JaggiFirst submitted…
Summary of Weak-to-strong Search: Align Large Language Models Via Searching Over Small Language Models, by Zhanhui Zhou et al.
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Modelsby Zhanhui Zhou, Zhixuan…
Summary of Mano: Exploiting Matrix Norm For Unsupervised Accuracy Estimation Under Distribution Shifts, by Renchunzi Xie et al.
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shiftsby Renchunzi Xie, Ambroise Odonnat,…
Summary of Fedmap: Unlocking Potential in Personalized Federated Learning Through Bi-level Map Optimization, by Fan Zhang et al.
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimizationby Fan Zhang, Carlos Esteve-Yagüe,…
Summary of Physics-aware Neural Implicit Solvers For Multiscale, Parametric Pdes with Applications in Heterogeneous Media, by Matthaios Chatzopoulos et al.
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous mediaby Matthaios Chatzopoulos,…
Summary of Domain-inspired Sharpness-aware Minimization Under Domain Shifts, by Ruipeng Zhang et al.
Domain-Inspired Sharpness-Aware Minimization Under Domain Shiftsby Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng…
Summary of Mokd: Cross-domain Finetuning For Few-shot Classification Via Maximizing Optimized Kernel Dependence, by Hongduan Tian et al.
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependenceby Hongduan Tian, Feng Liu,…