Summary of Anomaly Correction Of Business Processes Using Transformer Autoencoder, by Ziyou Gong et al.
Anomaly Correction of Business Processes Using Transformer Autoencoderby Ziyou Gong, Xianwen Fang, Ping WuFirst submitted…
Summary of Masked Autoencoders For Microscopy Are Scalable Learners Of Cellular Biology, by Oren Kraus et al.
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biologyby Oren Kraus, Kian Kenyon-Dean, Saber…
Summary of How to Build the Best Medical Image Segmentation Algorithm Using Foundation Models: a Comprehensive Empirical Study with Segment Anything Model, by Hanxue Gu and Haoyu Dong and Jichen Yang and Maciej A. Mazurowski
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical…
Summary of Personalized Collaborative Fine-tuning For On-device Large Language Models, by Nicolas Wagner et al.
Personalized Collaborative Fine-Tuning for On-Device Large Language Modelsby Nicolas Wagner, Dongyang Fan, Martin JaggiFirst submitted…
Summary of Can We Break Free From Strong Data Augmentations in Self-supervised Learning?, by Shruthi Gowda et al.
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?by Shruthi Gowda, Elahe Arani,…
Summary of Rankclip: Ranking-consistent Language-image Pretraining, by Yiming Zhang et al.
RankCLIP: Ranking-Consistent Language-Image Pretrainingby Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zhili Feng, Zenghui Ding, Yining…
Summary of Masked and Shuffled Blind Spot Denoising For Real-world Images, by Hamadi Chihaoui and Paolo Favaro
Masked and Shuffled Blind Spot Denoising for Real-World Imagesby Hamadi Chihaoui, Paolo FavaroFirst submitted to…
Summary of Degnn: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise, by Tai Hasegawa et al.
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noiseby Tai Hasegawa,…
Summary of Beyond Known Clusters: Probe New Prototypes For Efficient Generalized Class Discovery, by Ye Wang et al.
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discoveryby Ye Wang, Yaxiong Wang,…
Summary of Mma-dfer: Multimodal Adaptation Of Unimodal Models For Dynamic Facial Expression Recognition In-the-wild, by Kateryna Chumachenko et al.
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wildby Kateryna Chumachenko, Alexandros…