Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large
Language Models

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

28 November 2022

Xiang Ren

Robin Jia

Papers citing "Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models"

7 / 7 papers shown

Title
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Shilin Sun Wenbin An Feng Tian Fang Nan Qidong Liu J. Liu N. Shah Ping Chen 91 2 0 18 Dec 2024
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,656 0 15 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 91 82 0 11 Jan 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 214 315 0 04 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016