Summary of Landscaping Linear Mode Connectivity, by Sidak Pal Singh et al.
Landscaping Linear Mode Connectivityby Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf,…
Summary of Relaxing Continuous Constraints Of Equivariant Graph Neural Networks For Physical Dynamics Learning, by Zinan Zheng et al.
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learningby Zinan Zheng, Yang…
Summary of Cascade Reward Sampling For Efficient Decoding-time Alignment, by Bolian Li et al.
Cascade Reward Sampling for Efficient Decoding-Time Alignmentby Bolian Li, Yifan Wang, Ananth Grama, Ruqi ZhangFirst…
Summary of Recall: Membership Inference Via Relative Conditional Log-likelihoods, by Roy Xie et al.
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoodsby Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang,…
Summary of Learning with Noisy Ground Truth: From 2d Classification to 3d Reconstruction, by Yangdi Lu et al.
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstructionby Yangdi Lu, Wenbo HeFirst…
Summary of Bounding-box Inference For Error-aware Model-based Reinforcement Learning, by Erin J. Talvitie et al.
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learningby Erin J. Talvitie, Zilei Shao, Huiying Li, Jinghan…
Summary of Effect Of Random Learning Rate: Theoretical Analysis Of Sgd Dynamics in Non-convex Optimization Via Stationary Distribution, by Naoki Yoshida et al.
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary…
Summary of Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization, by Cheng-yu Hsieh et al.
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilizationby Cheng-Yu Hsieh, Yung-Sung…
Summary of Timeautodiff: Combining Autoencoder and Diffusion Model For Time Series Tabular Data Synthesizing, by Namjoon Suh et al.
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizingby Namjoon Suh, Yuning…
Summary of Meta-fl: a Novel Meta-learning Framework For Optimizing Heterogeneous Model Aggregation in Federated Learning, by Zahir Alsulaimawi
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learningby Zahir AlsulaimawiFirst…