Summary of Ai and Memory Wall, by Amir Gholami et al.
AI and Memory Wallby Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney,…
Summary of Integrating Wearable Sensor Data and Self-reported Diaries For Personalized Affect Forecasting, by Zhongqi Yang et al.
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecastingby Zhongqi Yang, Yuning Wang,…
Summary of Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model, by Yizhu Wen et al.
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Modelby Yizhu Wen, Kai Yi, Jing Ke,…
Summary of Circuit Transformer: a Transformer That Preserves Logical Equivalence, by Xihan Li et al.
Circuit Transformer: A Transformer That Preserves Logical Equivalenceby Xihan Li, Xing Li, Lei Chen, Xing…
Summary of Divide-conquer Transformer Learning For Predicting Electric Vehicle Charging Events Using Smart Meter Data, by Fucai Ke et al.
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Databy Fucai Ke,…
Summary of Adaptive Ensembles Of Fine-tuned Transformers For Llm-generated Text Detection, by Zhixin Lai et al.
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detectionby Zhixin Lai, Xuesheng Zhang, Suiyao ChenFirst…
Summary of Sportsngen: Sustained Generation Of Realistic Multi-player Sports Gameplay, by Lachlan Thorpe et al.
SportsNGEN: Sustained Generation of Realistic Multi-player Sports Gameplayby Lachlan Thorpe, Lewis Bawden, Karanjot Vendal, John…
Summary of Seven: Pruning Transformer Model by Reserving Sentinels, By Jinying Xiao et al.
SEVEN: Pruning Transformer Model by Reserving Sentinelsby Jinying Xiao, Ping Li, Jie Nie, Zhe TangFirst…
Summary of Flowerformer: Empowering Neural Architecture Encoding Using a Flow-aware Graph Transformer, by Dongyeong Hwang et al.
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformerby Dongyeong Hwang, Hyunju Kim, Sunwoo…
Summary of A Comparison Of Deep Learning Architectures For Spacecraft Anomaly Detection, by Daniel Lakey and Tim Schlippe
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detectionby Daniel Lakey, Tim SchlippeFirst submitted…