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. 1809.10083
  4. Cited By
Unsupervised Adversarial Invariance

Unsupervised Adversarial Invariance

26 September 2018
Ayush Jaiswal
Yue Wu
Wael AbdAlmageed
Premkumar Natarajan
    OOD
    CML
ArXivPDFHTML

Papers citing "Unsupervised Adversarial Invariance"

15 / 15 papers shown
Title
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
44
0
0
24 Mar 2023
Weakly Supervised Invariant Representation Learning Via Disentangling
  Known and Unknown Nuisance Factors
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors
Jiageng Zhu
Hanchen Xie
Wael AbdAlmageed
32
1
0
15 Sep 2022
Factorizing Knowledge in Neural Networks
Factorizing Knowledge in Neural Networks
Xingyi Yang
Jingwen Ye
Xinchao Wang
MoMe
47
121
0
04 Jul 2022
Advancing the dimensionality reduction of speaker embeddings for speaker
  diarisation: disentangling noise and informing speech activity
Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activity
You Jin Kim
Hee-Soo Heo
Jee-weon Jung
Youngki Kwon
Bong-Jin Lee
Joon Son Chung
32
3
0
07 Oct 2021
Fair Representations by Compression
Fair Representations by Compression
Xavier Gitiaux
Huzefa Rangwala
FaML
30
14
0
28 May 2021
Learning Invariant Representation of Tasks for Robust Surgical State
  Estimation
Learning Invariant Representation of Tasks for Robust Surgical State Estimation
Yidan Qin
M. Allan
Yisong Yue
J. W. Burdick
M. Azizian
OOD
11
8
0
18 Feb 2021
Learning Invariant Representations using Inverse Contrastive Loss
Learning Invariant Representations using Inverse Contrastive Loss
A. K. Akash
Vishnu Suresh Lokhande
Sathya Ravi
Vikas Singh
SSL
21
8
0
16 Feb 2021
Class-agnostic Object Detection
Class-agnostic Object Detection
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
ObjD
41
31
0
28 Nov 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
43
23
0
05 Mar 2020
An empirical analysis of information encoded in disentangled neural
  speaker representations
An empirical analysis of information encoded in disentangled neural speaker representations
Raghuveer Peri
Haoqi Li
Krishna Somandepalli
Arindam Jati
Shrikanth Narayanan
DRL
27
13
0
10 Feb 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
329
4,223
0
23 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
25
4
0
03 Jun 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wei Liu
29
249
0
30 Apr 2019
RoPAD: Robust Presentation Attack Detection through Unsupervised
  Adversarial Invariance
RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance
Ayush Jaiswal
Shuai Xia
I. Masi
Wael AbdAlmageed
AAML
20
15
0
08 Mar 2019
Survey on Feature Selection
Survey on Feature Selection
T. Abdallah
B. Iglesia
60
230
0
10 Oct 2015
1