Summary of Tree Of Attributes Prompt Learning For Vision-language Models, by Tong Ding et al.
Tree of Attributes Prompt Learning for Vision-Language Modelsby Tong Ding, Wanhua Li, Zhongqi Miao, Hanspeter…
Summary of Error Diffusion: Post Training Quantization with Block-scaled Number Formats For Neural Networks, by Alireza Khodamoradi et al.
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networksby Alireza Khodamoradi, Kristof…
Summary of Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning, by Hassan Ali et al.
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learningby Hassan Ali, Surya Nepal,…
Summary of Towards Understanding Why Fixmatch Generalizes Better Than Supervised Learning, by Jingyang Li et al.
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learningby Jingyang Li, Jiachun Pan, Vincent Y.…
Summary of Cross-dataset Generalization in Deep Learning, by Xuyu Zhang et al.
Cross-Dataset Generalization in Deep Learningby Xuyu Zhang, Haofan Huang, Dawei Zhang, Songlin Zhuang, Shensheng Han,…
Summary of Cvcp-fusion: on Implicit Depth Estimation For 3d Bounding Box Prediction, by Pranav Gupta et al.
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Predictionby Pranav Gupta, Rishabh Rengarajan, Viren…
Summary of Dreamsteerer: Enhancing Source Image Conditioned Editability Using Personalized Diffusion Models, by Zhengyang Yu et al.
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Modelsby Zhengyang Yu, Zhaoyuan Yang, Jing…
Summary of Multi-objective Reinforcement Learning: a Tool For Pluralistic Alignment, by Peter Vamplew et al.
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignmentby Peter Vamplew, Conor F Hayes, Cameron Foale,…
Summary of Quadratic Gating Functions in Mixture Of Experts: a Statistical Insight, by Pedram Akbarian et al.
Quadratic Gating Functions in Mixture of Experts: A Statistical Insightby Pedram Akbarian, Huy Nguyen, Xing…
Summary of Guarantees For Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples, by Thomas T. Zhang et al.
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samplesby Thomas T. Zhang, Bruce…