ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.11576
  4. Cited By
Grad2Task: Improved Few-shot Text Classification Using Gradients for
  Task Representation

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation

27 January 2022
Jixuan Wang
Kuan-Chieh Jackson Wang
Frank Rudzicz
M. Brudno
    VLM
ArXivPDFHTML

Papers citing "Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation"

11 / 11 papers shown
Title
Credit Assignment for Trained Neural Networks Based on Koopman Operator
  Theory
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
Zhen Liang
Changyuan Zhao
Wanwei Liu
Bai Xue
Wenjing Yang
Zhengbin Pang
37
1
0
02 Dec 2022
Understanding BLOOM: An empirical study on diverse NLP tasks
Understanding BLOOM: An empirical study on diverse NLP tasks
Parag Dakle
Sai Krishna Rallabandi
Preethi Raghavan
AI4CE
39
3
0
27 Nov 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data
  Sizes
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
Yiqiao Jin
Xiting Wang
Y. Hao
Yizhou Sun
Xing Xie
43
11
0
24 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
35
5
0
16 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
38
8
0
10 Nov 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
31
0
0
22 Oct 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
18
12
0
25 May 2022
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,996
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
1