research
∙
06/17/2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Self-training (ST) has come to fruition in language understanding tasks ...
share
research
∙
06/08/2023
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Weight-sharing supernet has become a vital component for performance est...
research
∙
12/16/2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Self-training (ST) has prospered again in language understanding by augm...
research
∙
11/11/2022
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning
The prevalence of abusive language on different online platforms has bee...
research
∙
10/22/2022
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Contrastive learning (CL) brought significant progress to various NLP ta...
research
∙
10/14/2022
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Neural architecture search (NAS) has demonstrated promising results on i...
research
∙
09/14/2022
Voting-based Opinion Maximization
We investigate the novel problem of voting-based opinion maximization in...
research
∙
06/22/2022
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties
We propose an information propagation model that captures important temp...
research
∙
03/19/2022
Automatic Detection of Entity-Manipulated Text using Factual Knowledge
In this work, we focus on the problem of distinguishing a human written ...
research
∙
07/11/2021
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising
We consider the revenue maximization problem in social advertising, wher...
research
∙
05/18/2021
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing
We describe models focused at the understudied problem of translating be...
research
∙
12/06/2020
Maximizing Social Welfare in a Competitive Diffusion Model
Influence maximization (IM) has garnered a lot of attention in the liter...
research
∙
11/02/2020
Automatic Detection of Machine Generated Text: A Critical Survey
Text generative models (TGMs) excel in producing text that matches the s...
research
∙
07/23/2019
Efficient Approximation Algorithms for Adaptive Seed Minimization
As a dual problem of influence maximization, the seed minimization probl...
research
∙
06/02/2019
Efficient Algorithms for Densest Subgraph Discovery
Densest subgraph discovery (DSD) is a fundamental problem in graph minin...
research
∙
12/10/2017
Ensembles of Regularized Linear Models
We propose an approach for building ensembles of regularized linear mode...
research
∙
02/27/2015