馒头and花卷

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Fourier Transform

pandas tutorial

Essentially No Barriers in Neural Network Energy Landscape

A pure L1-norm principal component analysis

ZFNet: Visualizing and Understanding Convolutional Networks

subprocess 模块

Proximal Algorithms 3 Interpretation

Proximal Algorithms 2 Properties

Proximal Algorithms 1 介绍

matplotlib 高阶之Transformations Tutorial

Momentum and NAG

Graph Masked Autoencoder for Sequential Recommendation

EulerNet Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction

Diffusion models as plug-and-play priors

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Graph Neural Networks for Link Prediction with Subgraph Sketching

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

iGPT and ViT

GPT and BERT

TriggerBN ++

Histogram Processing

Exponential family of distributions

EMA

Kernel Methods for Deep Learning

Differential Evolution: A Survey of the State-of-the-Art

ON LARGE BATCH TRAINING FOR DEEP LEARNING: GENERALIZATION GAP AND SHARP MINIMA

一些矩阵范数的subgradients

subgradients

下降方法与梯度下降

ON LARGE BATCH TRAINING FOR DEEP LEARNING: GENERALIZATION GAP AND SHARP MINIMA

Entropy, relative entropy and mutual information

IMPROVING ADVERSARIAL ROBUSTNESS REQUIRES REVISITING MISCLASSIFIED EXAMPLES

Auto-Encoding Variational Bayes