Summary of Coreset Selection For Object Detection, by Hojun Lee et al.
Coreset Selection for Object Detectionby Hojun Lee, Suyoung Kim, Junhoo Lee, Jaeyoung Yoo, Nojun KwakFirst…
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 Feddistill: Global Model Distillation For Local Model De-biasing in Non-iid Federated Learning, by Changlin Song et al.
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learningby Changlin Song, Divya…
Summary of Exploring and Improving Drafts in Blockwise Parallel Decoding, by Taehyeon Kim et al.
Exploring and Improving Drafts in Blockwise Parallel Decodingby Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni,…
Summary of Map: Model Aggregation and Personalization in Federated Learning with Incomplete Classes, by Xin-chun Li et al.
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classesby Xin-Chun Li, Shaoming Song,…
Summary of Fault Detection in Mobile Networks Using Diffusion Models, by Mohamad Nabeel et al.
Fault Detection in Mobile Networks Using Diffusion Modelsby Mohamad Nabeel, Doumitrou Daniil Nimara, Tahar ZanoudaFirst…
Summary of Lsrom: Learning Self-refined Organizing Map For Fast Imbalanced Streaming Data Clustering, by Yongqi Xu et al.
LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clusteringby Yongqi Xu, Yujian Lee,…
Summary of Generalization Error Bounds For Learning Under Censored Feedback, by Yifan Yang et al.
Generalization Error Bounds for Learning under Censored Feedbackby Yifan Yang, Ali Payani, Parinaz NaghizadehFirst submitted…
Summary of Knowledgeable Agents by Offline Reinforcement Learning From Large Language Model Rollouts, By Jing-cheng Pang et al.
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rolloutsby Jing-Cheng Pang, Si-Hang Yang,…
Summary of Foundational Gpt Model For Meg, by Richard Csaky et al.
Foundational GPT Model for MEGby Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark…