Summary of Closing the Gap in the Trade-off Between Fair Representations and Accuracy, by Biswajit Rout et al.
Closing the Gap in the Trade-off between Fair Representations and Accuracyby Biswajit Rout, Ananya B.…
Summary of Harnessing Gpt-4v(ision) For Insurance: a Preliminary Exploration, by Chenwei Lin et al.
Harnessing GPT-4V(ision) for Insurance: A Preliminary Explorationby Chenwei Lin, Hanjia Lyu, Jiebo Luo, Xian XuFirst…
Summary of Antbatchinfer: Elastic Batch Inference in the Kubernetes Cluster, by Siyuan Li et al.
AntBatchInfer: Elastic Batch Inference in the Kubernetes Clusterby Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin…
Summary of Lorap: Transformer Sub-layers Deserve Differentiated Structured Compression For Large Language Models, by Guangyan Li et al.
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Modelsby Guangyan Li, Yongqiang Tang,…
Summary of Ai Competitions and Benchmarks: Dataset Development, by Romain Egele et al.
AI Competitions and Benchmarks: Dataset Developmentby Romain Egele, Julio C. S. Jacques Junior, Jan N.…
Summary of Adaptive Patching For High-resolution Image Segmentation with Transformers, by Enzhi Zhang et al.
Adaptive Patching for High-resolution Image Segmentation with Transformersby Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao…
Summary of Higher Replay Ratio Empowers Sample-efficient Multi-agent Reinforcement Learning, by Linjie Xu et al.
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learningby Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego…
Summary of Unveiling Imitation Learning: Exploring the Impact Of Data Falsity to Large Language Model, by Hyunsoo Cho
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Modelby Hyunsoo ChoFirst…
Summary of Convergence Analysis Of Probability Flow Ode For Score-based Generative Models, by Daniel Zhengyu Huang et al.
Convergence Analysis of Probability Flow ODE for Score-based Generative Modelsby Daniel Zhengyu Huang, Jiaoyang Huang,…
Summary of Vflgan: Vertical Federated Learning-based Generative Adversarial Network For Vertically Partitioned Data Publication, by Xun Yuan and Yang Yang and Prosanta Gope and Aryan Pasikhani and Biplab Sikdar
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publicationby Xun Yuan, Yang…