Summary of Robust Federated Finetuning Of Foundation Models Via Alternating Minimization Of Lora, by Shuangyi Chen et al.
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRAby Shuangyi Chen, Yue Ju,…
Summary of Understanding the Role Of Functional Diversity in Weight-ensembling with Ingredient Selection and Multidimensional Scaling, by Alex Rojas and David Alvarez-melis
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scalingby Alex…
Summary of Building Math Agents with Multi-turn Iterative Preference Learning, by Wei Xiong et al.
Building Math Agents with Multi-Turn Iterative Preference Learningby Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv…
Summary of Optimal Neural Network Approximation For High-dimensional Continuous Functions, by Ayan Maiti et al.
Optimal Neural Network Approximation for High-Dimensional Continuous Functionsby Ayan Maiti, Michelle Michelle, Haizhao YangFirst submitted…
Summary of Exploring Low-dimensional Subspaces in Diffusion Models For Controllable Image Editing, by Siyi Chen et al.
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editingby Siyi Chen, Huijie Zhang, Minzhe…
Summary of Learning Privacy-preserving Student Networks Via Discriminative-generative Distillation, by Shiming Ge et al.
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillationby Shiming Ge, Bochao Liu, Pengju Wang, Yong Li,…
Summary of Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization Through Progressive Target Evolution, by Jaouad Dabounou
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolutionby Jaouad…
Summary of Relative-translation Invariant Wasserstein Distance, by Binshuai Wang et al.
Relative-Translation Invariant Wasserstein Distanceby Binshuai Wang, Qiwei Di, Ming Yin, Mengdi Wang, Quanquan Gu, Peng…
Summary of Abstractive Text Summarization: State Of the Art, Challenges, and Improvements, by Hassan Shakil et al.
Abstractive Text Summarization: State of the Art, Challenges, and Improvementsby Hassan Shakil, Ahmad Farooq, Jugal…
Summary of Diffusion Models Learn Low-dimensional Distributions Via Subspace Clustering, by Peng Wang et al.
Diffusion Models Learn Low-Dimensional Distributions via Subspace Clusteringby Peng Wang, Huijie Zhang, Zekai Zhang, Siyi…