Summary of Deep Causal Generative Models with Property Control, by Qilong Zhao et al.
Deep Causal Generative Models with Property Controlby Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan,…
Summary of Unsupervised Meta-learning Via In-context Learning, by Anna Vettoruzzo et al.
Unsupervised Meta-Learning via In-Context Learningby Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena NowaczykFirst submitted to…
Summary of Encoder Embedding For General Graph and Node Classification, by Cencheng Shen
Encoder Embedding for General Graph and Node Classificationby Cencheng ShenFirst submitted to arxiv on: 24…
Summary of Efficient Recurrent Off-policy Rl Requires a Context-encoder-specific Learning Rate, by Fan-ming Luo et al.
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rateby Fan-Ming Luo, Zuolin Tu, Zefang Huang,…
Summary of Paramrel: Learning Parameter Space Representation Via Progressively Encoding Bayesian Flow Networks, by Zhangkai Wu et al.
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networksby Zhangkai Wu, Xuhui Fan,…
Summary of Hc-gae: the Hierarchical Cluster-based Graph Auto-encoder For Graph Representation Learning, by Zhuo Xu et al.
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learningby Zhuo Xu, Lu Bai, Lixin…
Summary of Phinets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis, by Satoki Ishikawa et al.
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesisby Satoki Ishikawa, Makoto Yamada, Han Bao,…
Summary of Litevae: Lightweight and Efficient Variational Autoencoders For Latent Diffusion Models, by Seyedmorteza Sadat et al.
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Modelsby Seyedmorteza Sadat, Jakob Buhmann, Derek…
Summary of A Structure-aware Framework For Learning Device Placements on Computation Graphs, by Shukai Duan et al.
A Structure-Aware Framework for Learning Device Placements on Computation Graphsby Shukai Duan, Heng Ping, Nikos…
Summary of Cvit: Continuous Vision Transformer For Operator Learning, by Sifan Wang et al.
CViT: Continuous Vision Transformer for Operator Learningby Sifan Wang, Jacob H Seidman, Shyam Sankaran, Hanwen…