Summary of Towards Combating Frequency Simplicity-biased Learning For Domain Generalization, by Xilin He et al.
Towards Combating Frequency Simplicity-biased Learning for Domain Generalizationby Xilin He, Jingyu Hu, Qinliang Lin, Cheng…
Summary of Theoretical Limitations Of Ensembles in the Age Of Overparameterization, by Niclas Dern et al.
Theoretical Limitations of Ensembles in the Age of Overparameterizationby Niclas Dern, John P. Cunningham, Geoff…
Summary of Comprehensive Benchmarking Of Large Language Models For Rna Secondary Structure Prediction, by L.i. Zablocki et al.
Comprehensive benchmarking of large language models for RNA secondary structure predictionby L.I. Zablocki, L.A. Bugnon,…
Summary of Arithmetic Transformers Can Length-generalize in Both Operand Length and Count, by Hanseul Cho and Jaeyoung Cha and Srinadh Bhojanapalli and Chulhee Yun
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Countby Hanseul Cho, Jaeyoung Cha, Srinadh…
Summary of Robust Visual Representation Learning with Multi-modal Prior Knowledge For Image Classification Under Distribution Shift, by Hongkuan Zhou et al.
Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shiftby Hongkuan…
Summary of On the Vc Dimension Of Deep Group Convolutional Neural Networks, by Anna Sepliarskaia et al.
On the VC dimension of deep group convolutional neural networksby Anna Sepliarskaia, Sophie Langer, Johannes…
Summary of On Cold Posteriors Of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and a New Way to Learn Cold Posteriors with Tight Generalization Guarantees, by Yijie Zhang
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New…
Summary of Ipo: Interpretable Prompt Optimization For Vision-language Models, by Yingjun Du et al.
IPO: Interpretable Prompt Optimization for Vision-Language Modelsby Yingjun Du, Wenfang Sun, Cees G. M. SnoekFirst…
Summary of Action Abstractions For Amortized Sampling, by Oussama Boussif et al.
Action abstractions for amortized samplingby Oussama Boussif, Léna Néhale Ezzine, Joseph D Viviano, Michał Koziarski,…
Summary of Deep Learning-based Detection Of Bacterial Swarm Motion Using a Single Image, by Yuzhu Li et al.
Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Imageby Yuzhu Li, Hao Li,…