Summary of Scaling Offline Model-based Rl Via Jointly-optimized World-action Model Pretraining, by Jie Cheng et al.
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretrainingby Jie Cheng, Ruixi Qiao, Yingwei Ma,…
Summary of Tsvd: Bridging Theory and Practice in Continual Learning with Pre-trained Models, by Liangzu Peng et al.
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Modelsby Liangzu Peng, Juan Elenter,…
Summary of Investigating the Impact Of Model Complexity in Large Language Models, by Jing Luo et al.
Investigating the Impact of Model Complexity in Large Language Modelsby Jing Luo, Huiyuan Wang, Weiran…
Summary of On the Generalization and Causal Explanation in Self-supervised Learning, by Wenwen Qiang et al.
On the Generalization and Causal Explanation in Self-Supervised Learningby Wenwen Qiang, Zeen Song, Ziyin Gu,…
Summary of Neural Scaling Laws Of Deep Relu and Deep Operator Network: a Theoretical Study, by Hao Liu et al.
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Studyby Hao Liu,…
Summary of Robust Traffic Forecasting Against Spatial Shift Over Years, by Hongjun Wang et al.
Robust Traffic Forecasting against Spatial Shift over Yearsby Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng…
Summary of Uniadapt: a Universal Adapter For Knowledge Calibration, by Tai D. Nguyen et al.
UniAdapt: A Universal Adapter for Knowledge Calibrationby Tai D. Nguyen, Long H. Pham, Jun SunFirst…
Summary of Stream-level Flow Matching with Gaussian Processes, by Ganchao Wei et al.
Stream-level flow matching with Gaussian processesby Ganchao Wei, Li MaFirst submitted to arxiv on: 30…
Summary of Random Features Outperform Linear Models: Effect Of Strong Input-label Correlation in Spiked Covariance Data, by Samet Demir et al.
Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Databy Samet…
Summary of On the Planning Abilities Of Openai’s O1 Models: Feasibility, Optimality, and Generalizability, by Kevin Wang et al.
On The Planning Abilities of OpenAI’s o1 Models: Feasibility, Optimality, and Generalizabilityby Kevin Wang, Junbo…