Summary of Lightllm: a Versatile Large Language Model For Predictive Light Sensing, by Jiawei Hu et al.
LightLLM: A Versatile Large Language Model for Predictive Light Sensingby Jiawei Hu, Hong Jia, Mahbub…
Summary of Effective Analog Ics Floorplanning with Relational Graph Neural Networks and Reinforcement Learning, by Davide Basso et al.
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learningby Davide Basso, Luca…
Summary of Urban Region Embeddings From Service-specific Mobile Traffic Data, by Giulio Loddi et al.
Urban Region Embeddings from Service-Specific Mobile Traffic Databy Giulio Loddi, Chiara Pugliese, Francesco Lettich, Fabio…
Summary of Dist Loss: Enhancing Regression in Few-shot Region Through Distribution Distance Constraint, by Guangkun Nie et al.
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraintby Guangkun Nie, Gongzheng Tang,…
Summary of Lplgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training, by Shreen Gul et al.
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Trainingby Shreen Gul,…
Summary of Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models Via Adversarial Distillation, by Ke Zhao (1) et al.
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillationby Ke Zhao,…
Summary of An Accuracy Improving Method For Advertising Click Through Rate Prediction Based on Enhanced Xdeepfm Model, by Xiaowei Xi et al.
An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM modelby…
Summary of Parameter Efficient Mamba Tuning Via Projector-targeted Diagonal-centric Linear Transformation, by Seokil Ham et al.
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformationby Seokil Ham, Hee-Seon Kim, Sangmin Woo,…
Summary of A No Free Lunch Theorem For Human-ai Collaboration, by Kenny Peng et al.
A No Free Lunch Theorem for Human-AI Collaborationby Kenny Peng, Nikhil Garg, Jon KleinbergFirst submitted…