Search Results for author:
Found 4 papers, 2 papers with code
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
To this end, we propose a novel approach for empathetic response generation, which incorporates an adaptive module for commonsense knowledge selection to ensure consistency between the generated empathetic responses and the speaker's situation.
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement
Following the spirit of multiple instance learning (MIL), we decompose the weakly supervised correspondence learning problem into three stages: image-level matching, region-level matching, and pixel-level matching.
Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis
We connect Fourier amplitude and phase with Gram matrices and a content reconstruction loss in style transfer, respectively.
Nonlinear Monte Carlo Method for Imbalanced Data Learning
and the mean value of loss function is used as the empirical risk by Law of Large Numbers (LLN).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
