Summary of Online Poisoning Attack Against Reinforcement Learning Under Black-box Environments, by Jianhui Li et al.
Online Poisoning Attack Against Reinforcement Learning under Black-box Environmentsby Jianhui Li, Bokang Zhang, Junfeng WuFirst…
Summary of Generative Lidar Editing with Controllable Novel Object Layouts, by Shing-hei Ho et al.
Generative LiDAR Editing with Controllable Novel Object Layoutsby Shing-Hei Ho, Bao Thach, Minghan ZhuFirst submitted…
Summary of Dfrot: Achieving Outlier-free and Massive Activation-free For Rotated Llms with Refined Rotation, by Jingyang Xiang et al.
DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotationby Jingyang Xiang, Sai…
Summary of Improving Decoupled Posterior Sampling For Inverse Problems Using Data Consistency Constraint, by Zhi Qi et al.
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraintby Zhi Qi, Shihong Yuan,…
Summary of Enhancing Skin Cancer Diagnosis (scd) Using Late Discrete Wavelet Transform (dwt) and New Swarm-based Optimizers, by Ramin Mousa et al.
Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizersby…
Summary of Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows, by Feng Liu et al.
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflowsby Feng Liu, Haipeng Li, Guangyuan Zou, Junlun…
Summary of Bots: Batch Bayesian Optimization Of Extended Thompson Sampling For Severely Episode-limited Rl Settings, by Karine Karine and Susan A. Murphy and Benjamin M. Marlin
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settingsby Karine Karine,…
Summary of Electricity Price Prediction Using Multi-kernel Gaussian Process Regression Combined with Kernel-based Support Vector Regression, by Abhinav Das et al.
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regressionby Abhinav…
Summary of Adaptive Coordinate-wise Step Sizes For Quasi-newton Methods: a Learning-to-optimize Approach, by Wei Lin et al.
Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approachby Wei Lin, Qingyu Song, Hong…
Summary of Stochastic Taylor Derivative Estimator: Efficient Amortization For Arbitrary Differential Operators, by Zekun Shi et al.
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operatorsby Zekun Shi, Zheyuan Hu, Min…