Summary of Learning to Reason Iteratively and Parallelly For Complex Visual Reasoning Scenarios, by Shantanu Jaiswal et al.
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenariosby Shantanu Jaiswal, Debaditya Roy,…
Summary of A Unified Analysis For Finite Weight Averaging, by Peng Wang et al.
A Unified Analysis for Finite Weight Averagingby Peng Wang, Li Shen, Zerui Tao, Yan Sun,…
Summary of Adaptagent: Adapting Multimodal Web Agents with Few-shot Learning From Human Demonstrations, by Gaurav Verma et al.
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrationsby Gaurav Verma, Rachneet Kaur,…
Summary of Scalable Deep Metric Learning on Attributed Graphs, by Xiang Li et al.
Scalable Deep Metric Learning on Attributed Graphsby Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv RamnathFirst…
Summary of Improving Ood Generalization Of Pre-trained Encoders Via Aligned Embedding-space Ensembles, by Shuman Peng et al.
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensemblesby Shuman Peng, Arash Khoeini, Sharan…
Summary of Mldgg: Meta-learning For Domain Generalization on Graphs, by Qin Tian et al.
MLDGG: Meta-Learning for Domain Generalization on Graphsby Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang,…
Summary of Learning From Label Proportions and Covariate-shifted Instances, by Sagalpreet Singh et al.
Learning from Label Proportions and Covariate-shifted Instancesby Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket,…
Summary of The Generalization Error Of Machine Learning Algorithms, by Samir M. Perlaza and Xinying Zou
The Generalization Error of Machine Learning Algorithmsby Samir M. Perlaza, Xinying ZouFirst submitted to arxiv…
Summary of Fast Convergence Of Softmax Policy Mirror Ascent, by Reza Asad et al.
Fast Convergence of Softmax Policy Mirror Ascentby Reza Asad, Reza Babanezhad, Issam Laradji, Nicolas Le…
Summary of Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-value-based Pruning, by Brian B. Moser et al.
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruningby Brian B. Moser,…