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. 2210.04144
  4. Cited By
Adaptive Distribution Calibration for Few-Shot Learning with
  Hierarchical Optimal Transport

Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport

9 October 2022
D. Guo
Longlong Tian
He Zhao
Mingyuan Zhou
H. Zha
    OODD
ArXivPDFHTML

Papers citing "Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport"

13 / 13 papers shown
Title
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yonghao Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
107
0
0
10 Jan 2025
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
78
0
0
17 Dec 2024
Covariance-based Space Regularization for Few-shot Class Incremental
  Learning
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
36
0
0
02 Nov 2024
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised
  Anomaly Detection
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
Ruiying Lu
YuJie Wu
Long Tian
Dongsheng Wang
Bo Chen
Xiyang Liu
Ruimin Hu
25
39
0
22 Oct 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities
Tuning Multi-mode Token-level Prompt Alignment across Modalities
Dongsheng Wang
Miaoge Li
Xinyang Liu
Mingsheng Xu
Bo Chen
Hanwang Zhang
VLM
31
16
0
25 Sep 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional
  Transport
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Long Tian
Jing Feng
Wenchao Chen
Xiaoqiang Chai
Liming Wang
Xiyang Liu
Bo Chen
8
14
0
06 Aug 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent
  Out-of-Distribution Detection
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
23
20
0
18 Mar 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
21
19
0
20 Feb 2023
Learning to Re-weight Examples with Optimal Transport for Imbalanced
  Classification
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
D. Guo
Zhuo Li
Meixi Zheng
He Zhao
Mingyuan Zhou
H. Zha
25
24
0
05 Aug 2022
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
208
322
0
16 Jan 2021
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
181
351
0
12 Jun 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
263
11,677
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
1