Summary of Train Faster, Perform Better: Modular Adaptive Training in Over-parameterized Models, by Yubin Shi et al.
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Modelsby Yubin Shi, Yixuan Chen, Mingzhi…
Summary of Accelerating the Evolution Of Personalized Automated Lane Change Through Lesson Learning, by Jia Hu et al.
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learningby Jia Hu, Mingyue Lei,…
Summary of Distributed High-dimensional Quantile Regression: Estimation Efficiency and Support Recovery, by Caixing Wang et al.
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recoveryby Caixing Wang, Ziliang ShenFirst submitted to…
Summary of Chebyshev Polynomial-based Kolmogorov-arnold Networks: An Efficient Architecture For Nonlinear Function Approximation, by Sidharth Ss et al.
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationby Sidharth SS, Keerthana AR,…
Summary of Unified Video-language Pre-training with Synchronized Audio, by Shentong Mo et al.
Unified Video-Language Pre-training with Synchronized Audioby Shentong Mo, Haofan Wang, Huaxia Li, Xu TangFirst submitted…
Summary of On Discovery Of Local Independence Over Continuous Variables Via Neural Contextual Decomposition, by Inwoo Hwang et al.
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decompositionby Inwoo Hwang, Yunhyeok…
Summary of Ensemble Successor Representations For Task Generalization in Offline-to-online Reinforcement Learning, by Changhong Wang et al.
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learningby Changhong Wang, Xudong Yu, Chenjia…
Summary of Oxygenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning, by Bin Lu et al.
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learningby Bin Lu, Ze Zhao,…
Summary of Adaptive Control Of Recurrent Neural Networks Using Conceptors, by Guillaume Pourcel et al.
Adaptive control of recurrent neural networks using conceptorsby Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel…
Summary of A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework For Eeg Based Emotion Recognition, by Xiang Li et al.
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognitionby Xiang Li,…