APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning

6 February 2023

Papers citing "APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning"

6 / 6 papers shown

Title
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction Jun Wu Xuesong Ye Chengjie Mou Weina Dai 49 18 0 24 Apr 2023
BotTriNet: A Unified and Efficient Embedding for Social Bots Detection via Metric Learning Jun Wu Xuesong Ye Yanyuet Man 40 15 0 06 Apr 2023
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 201 412 0 24 Jan 2022
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution Yi Huang Buse Giledereli Abdullatif Köksal Arzucan Özgür Elif Özkirimli VLM 23 76 0 10 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 154 25,150 0 09 Jun 2011