research
∙
03/08/2023
Loss-Curvature Matching for Dataset Selection and Condensation
Training neural networks on a large dataset requires substantial computa...
share
research
∙
11/24/2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
The problem of fair classification can be mollified if we develop a meth...
research
∙
04/13/2020
Adversarial Likelihood-Free Inference on Black-Box Generator
Generative Adversarial Network (GAN) can be viewed as an implicit estima...
research
∙
04/07/2020
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Recent researches demonstrate that word embeddings, trained on the human...
research
∙
03/04/2020
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
Estimating the gradients of stochastic nodes is one of the crucial resea...
research
∙
11/15/2019
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
Recent studies identified that sequential Recommendation is improved by ...
research
∙
01/09/2019
