Summary of Quantized and Interpretable Learning Scheme For Deep Neural Networks in Classification Task, by Alireza Maleki et al.
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Taskby Alireza Maleki, Mahsa…
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Taskby Alireza Maleki, Mahsa…
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Modelsby Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe…
Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overviewby Fnu Neha, Deepshikha…
Hyperparameter Tuning Through Pessimistic Bilevel Optimizationby Meltem Apaydin Ustun, Liang Xu, Bo Zeng, Xiaoning QianFirst…
Tight Lower Bounds and Improved Convergence in Performative Predictionby Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami,…
Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferabilityby Chi Zhang, Janis…
Good practices for evaluation of machine learning systemsby Luciana Ferrer, Odette Scharenborg, Tom BäckströmFirst submitted…
Interpretable Hierarchical Attention Network for Medical Condition Identificationby Dongping Fang, Lian Duan, Xiaojing Yuan, Allyn…
Asymptotics of Linear Regression with Linearly Dependent Databy Behrad Moniri, Hamed HassaniFirst submitted to arxiv…
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehensionby Xiyao Wang, Zhengyuan Yang,…