Summary of A Benchmark on Directed Graph Representation Learning in Hardware Designs, by Haoyu Wang et al.
A Benchmark on Directed Graph Representation Learning in Hardware Designsby Haoyu Wang, Yinan Huang, Nan…
Summary of Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning, by Lequan Lin et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuningby Lequan Lin, Dai…
Summary of Unsupervised Representation Learning From Sparse Transformation Analysis, by Yue Song et al.
Unsupervised Representation Learning from Sparse Transformation Analysisby Yue Song, Thomas Anderson Keller, Yisong Yue, Pietro…
Summary of Hero: Human-feedback Efficient Reinforcement Learning For Online Diffusion Model Finetuning, by Ayano Hiranaka et al.
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuningby Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin…
Summary of A Strategy For Label Alignment in Deep Neural Networks, by Xuanrui Zeng
A Strategy for Label Alignment in Deep Neural Networksby Xuanrui ZengFirst submitted to arxiv on:…
Summary of Gradient Routing: Masking Gradients to Localize Computation in Neural Networks, by Alex Cloud et al.
Gradient Routing: Masking Gradients to Localize Computation in Neural Networksby Alex Cloud, Jacob Goldman-Wetzler, Evžen…
Summary of Rethinking Fair Representation Learning For Performance-sensitive Tasks, by Charles Jones et al.
Rethinking Fair Representation Learning for Performance-Sensitive Tasksby Charles Jones, Fabio de Sousa Ribeiro, Mélanie Roschewitz,…
Summary of Improving Node Representation by Boosting Target-aware Contrastive Loss, By Ying-chun Lin et al.
Improving Node Representation by Boosting Target-Aware Contrastive Lossby Ying-Chun Lin, Jennifer NevilleFirst submitted to arxiv…
Summary of Denoising with a Joint-embedding Predictive Architecture, by Dengsheng Chen et al.
Denoising with a Joint-Embedding Predictive Architectureby Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua WuFirst submitted…
Summary of Repurposing Foundation Model For Generalizable Medical Time Series Classification, by Nan Huang et al.
Repurposing Foundation Model for Generalizable Medical Time Series Classificationby Nan Huang, Haishuai Wang, Zihuai He,…