[其他] AI人工智能核心论文仓库:3D视觉+机器学习 [推广有奖]

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Rona-2028 发表于 2024-8-20 18:33:55 |AI写论文

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名称大小
+D:\人工智能核心论文仓库\    270.0 MB
+1-机器学习 232.0 MB
|+1.Manifold Mixup Better Representations by Interpolating Hidden States      36.9 MB
| | 1806.05236.pdf       2.5 MB
| | manifold_mixup-master.zip       34.4 MB
|+10.Optimal Algorithms for Non-Smooth Distributed Optimization in Networks      242.0 KB
|+12.Neural Ordinary Differential Equations      3.8 MB
|+13.Delayed Impact of Fair Machine Learning      1.7 MB
|+14.Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples      269.0 KB
|+15.Safe and Nested Subgame Solving for Imperfect-Information Games∗      1.0 MB
|+16.Variance-based regularization with convex objectives      676.0 KB
|+18.Understanding Black-box Predictions via Influence Functions      4.7 MB
|+19.Value Iteration Networks      721.0 KB
|+2.ImageNet Classification with Deep Convolutional Neural Networks      1.3 MB
|+20.Matrix Completion has No Spurious Local Minimum      570.0 KB
|+21.Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling      320.0 KB
|+22.Pixel Recurrent Neural Networks      12.4 MB
|+23.Dueling Network Architectures for Deep Reinforcement Learning      137.0 MB
|+24.A Nearly-Linear Time Framework for Graph-Structured Sparsity      418.0 KB
|+25.Optimal and Adaptive Algorithms for Online Boosting      236.0 KB
|+3.Statistical Modeling The Two Cultures      300.0 KB
|+4.A Few Useful Things to Know about Machine Learning      15.1 MB
|+5.Tidy Data      352.0 KB
|+6.Dropout A Simple Way to Prevent Neural Networks from Overfitting      2.8 MB
|+7.Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations      9.7 MB
|+8.Rates of Convergence for Sparse Variational Gaussian Process Regression      1.1 MB
|+9.Non-delusional Q-learning and value-iteration      487.0 KB
+4-3D视觉 37.8 MB
+1.3D目标检测      37.8 MB
1.Frustum PointNets for 3D Object Detection from RGB-D Data.pdf       7.4 MB
3.nuScenes_ A multimodal dataset for autonomous driving.pdf       4.6 MB
4.Deep Hough Voting for 3D Object Detection in Point Clouds.pdf       6.1 MB
5.3D Bounding Box Estimation Using Deep Learning and Geometry.pdf       7.1 MB
6.Center-based 3D Object Detection and Tracking.pdf       5.4 MB
7.PointPillars_ Fast Encoders for Object Detection from Point Clouds.pdf       5.3 MB
8.Complex-YOLO_ Real-time 3D Object Detection on Point Clouds.pdf       1.9 MB