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Starting Off on the Wrong Foot: Pitfalls in 数据 (Data) Preparation
Starting Off on the Wrong Foot: Pitfalls in Data Preparation
👁 386 📚 41
所有形状和大小的ResNet:大规模限制中培训动态的聚合
ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit
👁 320 📚 48
人类语言之间的定量距离
Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages
👁 152 📚 49
A Noise Sensitivity Exponent Controls Large 统计 (Statistical)-to-Computational Gaps in Single- and Mu...
A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-I...
👁 108 📚 1
BonderAD:时间序列异常检测的边界-意识负生成
BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection
👁 375 📚 13
Machine 学习 (Learning) for Network Attacks 分类 (Classification) and 统计 (Statistical) Evaluation of Mac...
Machine Learning for Network Attacks Classification and Statistical Evaluation of Machine Learning f...
👁 103 📚 30
Murmurations, Mestre--Nagao sums, and Convolutional 神经网络 (Neural Network)s for elliptic curves
Murmurations, Mestre--Nagao sums, and Convolutional Neural Networks for elliptic curves
👁 78 📚 35
rSDNet: Unified Robust Neural 学习 (Learning) against Label Noise and Adversarial Attacks
rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
👁 495 📚 45
Identifying Latent Actions and Dynamics from Offline 数据 (Data) via Demonstrator Diversity
Identifying Latent Actions and Dynamics from Offline Data via Demonstrator Diversity
👁 257 📚 26
高斯进程限制图像变换器的结构惠益
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
👁 160 📚 43
复杂勘测设计下最相邻的近邻回归器的一致性
Consistency of the $k$-Nearest Neighbor Regressor under Complex Survey Designs
👁 321 📚 44
Riemannian Manifolds上的镜像设定
Mirror Descent on Riemannian Manifolds
👁 409 📚 5
经验经济学可审计的AI代理循环:预测组合中的案例研究
An Auditable AI Agent Loop for Empirical Economics: A Case Study in Forecast Combination
👁 237 📚 14
审计审计员:社区调解是否正确?
Auditing the Auditors: Does Community-based Moderation Get It Right?
👁 230 📚 32
Self-Regularized 学习 (Learning) Methods
Self-Regularized Learning Methods
👁 143 📚 46
浅色表示选项隐含信息
Shallow Representation of Option Implied Information
👁 211 📚 31
Contextual Preference Distribution 学习 (Learning)
Contextual Preference Distribution Learning
👁 161 📚 0
Dependence Fidelity and Downstream 推断 (Inference) Stability in Generative 模型 (Model)s
Dependence Fidelity and Downstream Inference Stability in Generative Models
👁 248 📚 9
Conditional Distributional Treatment Effects: Doubly Robust 估计 (Estimation) and Testing
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
👁 252 📚 7
High-Dimensional Gaussian Mean 估计 (Estimation) under Realizable Contamination
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
👁 415 📚 1
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