Search Results for author:
Found 6 papers, 5 papers with code
EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset
The need for high-quality data has been a key issue hindering the research of dialogue tasks.
Rethinking the Setting of Semi-supervised Learning on Graphs
graph benchmark (IGB) consisting of 4 datasets.
A Theoretical View of Linear Backpropagation and Its Convergence
This paper serves as a complement and somewhat an extension to Guo et al.'s paper, by providing theoretical analyses on LinBP in neural-network-involved learning tasks, including adversarial attack and model training.
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding
Drawing on theoretical insights, we advocate an error-based thresholding (EBT) mechanism for learned ISTA (LISTA), which utilizes a function of the layer-wise reconstruction error to suggest a specific threshold for each observation in the shrinkage function of each layer.
Modeling Protein Using Large-scale Pretrain Language Model
The emergence of deep learning models makes modeling data patterns in large quantities of data possible.
Sparse Coding with Gated Learned ISTA
In this paper, we study the learned iterative shrinkage thresholding algorithm (LISTA) for solving sparse coding problems.
