research
∙
05/29/2023
Deeply Coupled Cross-Modal Prompt Learning
Recent advancements in multimodal foundation models (e.g., CLIP) have ex...
share
research
∙
12/21/2022
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
Magnetic Resonance Fingerprinting (MRF) is an efficient quantitative MRI...
research
∙
11/27/2022
PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets
Much of named entity recognition (NER) research focuses on developing da...
research
∙
10/08/2022
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Contrastive learning methods achieve state-of-the-art results in unsuper...
research
∙
09/30/2022
What Makes Pre-trained Language Models Better Zero/Few-shot Learners?
In this paper, we propose a theoretical framework to explain the efficac...
research
∙
03/09/2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Accurate understanding of users in terms of predicative segments play an...
research
∙
09/18/2021
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Text moderation for user generated content, which helps to promote healt...
research
∙
10/17/2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
We present our HABERTOR model for detecting hatespeech in large scale us...
research
∙
09/20/2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
The neural attention mechanism plays an important role in many natural l...
research
∙
06/05/2020
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
We consider the problem of Named Entity Recognition (NER) on biomedical ...
research
∙
10/11/2018
