Summary of Randomization Can Reduce Both Bias and Variance: a Case Study in Random Forests, by Brian Liu and Rahul Mazumder
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forestsby Brian Liu,…
Summary of Beyond Worst-case Attacks: Robust Rl with Adaptive Defense Via Non-dominated Policies, by Xiangyu Liu et al.
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policiesby Xiangyu Liu, Chenghao Deng,…
Summary of Torchcp: a Python Library For Conformal Prediction, by Jianguo Huang et al.
TorchCP: A Python Library for Conformal Predictionby Jianguo Huang, Jianqing Song, Xuanning Zhou, Bingyi Jing,…
Summary of Modelgpt: Unleashing Llm’s Capabilities For Tailored Model Generation, by Zihao Tang et al.
ModelGPT: Unleashing LLM’s Capabilities for Tailored Model Generationby Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei…
Summary of Vehicle-group-based Crash Risk Prediction and Interpretation on Highways, by Tianheng Zhu et al.
Vehicle-group-based Crash Risk Prediction and Interpretation on Highwaysby Tianheng Zhu, Ling Wang, Yiheng Feng, Wanjing…
Summary of Tables As Texts or Images: Evaluating the Table Reasoning Ability Of Llms and Mllms, by Naihao Deng et al.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMsby Naihao…
Summary of Predicting Trucking Accidents with Truck Drivers ‘safety Climate Perception Across Companies: a Transfer Learning Approach, by Kailai Sun et al.
Predicting trucking accidents with truck drivers ’safety climate perception across companies: A transfer learning approachby…
Summary of Ebft: Effective and Block-wise Fine-tuning For Sparse Llms, by Song Guo et al.
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMsby Song Guo, Fan Wu, Lei Zhang, Xiawu…
Summary of Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures, by Akash Guna R.t et al.
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architecturesby Akash Guna R.T, Arnav Chavan, Deepak…
Summary of In Value-based Deep Reinforcement Learning, a Pruned Network Is a Good Network, by Johan Obando-ceron and Aaron Courville and Pablo Samuel Castro
In value-based deep reinforcement learning, a pruned network is a good networkby Johan Obando-Ceron, Aaron…