research
∙
09/03/2023
AutoML-GPT: Large Language Model for AutoML
With the emerging trend of GPT models, we have established a framework c...
share
research
∙
08/17/2023
Environment Diversification with Multi-head Neural Network for Invariant Learning
Neural networks are often trained with empirical risk minimization; howe...
research
∙
05/19/2023
GraphFC: Customs Fraud Detection with Label Scarcity
Custom officials across the world encounter huge volumes of transactions...
research
∙
03/27/2023
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model
The goal of this paper is to report certain scientific discoveries about...
research
∙
03/13/2023
Differential Good Arm Identification
This paper targets a variant of the stochastic multi-armed bandit proble...
research
∙
02/21/2022
Toward more generalized Malicious URL Detection Models
This paper reveals a data bias issue that can severely affect the perfor...
research
∙
02/17/2022
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network
This work addresses the efficiency concern on inferring a nonlinear cont...
research
∙
09/17/2019
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
Human beings are creatures of habit. In their daily life, people tend to...
research
∙
05/13/2019
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Adversarial loss in a conditional generative adversarial network (GAN) i...
research
∙
01/29/2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Human behaviors are regularized by a variety of norms or regulations, ei...
research
∙
10/20/2018
Attribute-aware Collaborative Filtering: Survey and Classification
Attribute-aware CF models aims at rating prediction given not only the h...
research
∙
09/06/2018
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
Multivariate time series forecasting is extensively studied throughout t...
research
∙
12/12/2017
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents
This paper proposes a low-cost, easily realizable strategy to equip a re...
research
∙
10/28/2016