Summary of Masked Face Recognition with Generative-to-discriminative Representations, by Shiming Ge et al.
Masked Face Recognition with Generative-to-Discriminative Representationsby Shiming Ge, Weijia Guo, Chenyu Li, Junzheng Zhang, Yong…
Summary of Study Of Robust Direction Finding Based on Joint Sparse Representation, by Y. Li et al.
Study of Robust Direction Finding Based on Joint Sparse Representationby Y. Li, W. Xiao, L.…
Summary of Transport Of Algebraic Structure to Latent Embeddings, by Samuel Pfrommer et al.
Transport of Algebraic Structure to Latent Embeddingsby Samuel Pfrommer, Brendon G. Anderson, Somayeh SojoudiFirst submitted…
Summary of Dphgnn: a Dual Perspective Hypergraph Neural Networks, by Siddhant Saxena et al.
DPHGNN: A Dual Perspective Hypergraph Neural Networksby Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee,…
Summary of Graph Neural Networks with Configuration Cross-attention For Tensor Compilers, by Dmitrii Khizbullin et al.
Graph neural networks with configuration cross-attention for tensor compilersby Dmitrii Khizbullin, Eduardo Rocha de Andrade,…
Summary of Competing For Pixels: a Self-play Algorithm For Weakly-supervised Segmentation, by Shaheer U. Saeed et al.
Competing for pixels: a self-play algorithm for weakly-supervised segmentationby Shaheer U. Saeed, Shiqi Huang, João…
Summary of Bayesian Inference with Deep Weakly Nonlinear Networks, by Boris Hanin and Alexander Zlokapa
Bayesian Inference with Deep Weakly Nonlinear Networksby Boris Hanin, Alexander ZlokapaFirst submitted to arxiv on:…
Summary of A Unified Law Of Robustness For Bregman Divergence Losses, by Santanu Das et al.
A unified law of robustness for Bregman divergence lossesby Santanu Das, Jatin Batra, Piyush SrivastavaFirst…
Summary of Fast Trac: a Parameter-free Optimizer For Lifelong Reinforcement Learning, by Aneesh Muppidi et al.
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learningby Aneesh Muppidi, Zhiyu Zhang, Heng YangFirst…
Summary of Gaussian Approximation and Multiplier Bootstrap For Polyak-ruppert Averaged Linear Stochastic Approximation with Applications to Td Learning, by Sergey Samsonov et al.
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD…