V2AS
问路
意见反馈
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论文解读(MCADA)《Multicomponent Adversarial Domain Adaptation: A General Framework》
Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Multicomponent Adversarial Domain Adaptation: A General Framework论文作者:Chang’an Yi, ......
left
right
论文
Adaptation
Domain
论文解读(SentiX)《SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis》
Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis论文作 ......
mathcal
hat
论文
解读
Sentiment
文献精读1:SpikTransformer
Spikformer code source(pku):GitHub - ZK-Zhou/spikformer: ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer 摘要 本文结合了两种生物 ......
尖峰
SNN
times
mathrm
SSA
论文解读(SimGCL)《Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation》
Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendatio ......
Graph
论文
prime
mathbf
Learning
【论文阅读】CYCADA CYCLE-CONSISTENT ADVERSARIAL DOMAIN ADAPTATION
github code CyCADA论文中,定义了一种问题——无监督适配,即仅提供源数据 \(X_S\) 和源标签 \(Y_S\),以及源域目标数据\(X_T\),没有目标标签或者不利用它。问题的目 ......
论文
Domain
rightarrow
Adaptation
Adversarial
论文解读(LightGCL)《LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation》
Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation论文作者:C ......
boldsymbol
论文
Graph
hat
Contrastive
洛谷 P4709 - 信息传递(置换+dp)
题面传送门 一道挺有意思的题罢…… 首先看到这种与置换乘法相关的题,首先把这些置换拆成一个个置换环,假设输入的置换有 \(m\) 个置换环,大小分别为 \(s_1,s_2,\cd ......
int
置换
传递
信息
MOD
CF1324 --- Maximum White Subtree
题干 You are given a tree consisting of \(n\) vertices. A tree is a connected undirected graph with \(n−1\) edges. Each vertex \(v\) of this tree has ......
dp
tree
Maximum
int
Subtree
Solution Set -「LOCAL」冲刺省选 Round XXI
\(\mathscr{Summary}\) 省选几个小时啊,怎么模拟赛只打三个小时啊。/kk 时间安排较为合理,没有出现严重的因思考时间过少引起的丢分。 A 题比较可惜,二分 + ......
mathcal
Solution
LOCAL
mathscr
frac
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
目录 概 主要内容 模型 ELBO 关于 Yang M., Liu F., Chen Z., Shen X., Hao J. and Wang J. CausalVAE: disentangled representation learning via neural stru ......
epsilon
Learning
Representation
theta
mathbb
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