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. 2209.08425
  4. Cited By
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks

Introspective Learning : A Two-Stage Approach for Inference in Neural Networks

17 September 2022
M. Prabhushankar
Ghassan AlRegib
ArXivPDFHTML

Papers citing "Introspective Learning : A Two-Stage Approach for Inference in Neural Networks"

8 / 8 papers shown
Title
Hierarchical and Multimodal Data for Daily Activity Understanding
Hierarchical and Multimodal Data for Daily Activity Understanding
Ghazal Kaviani
Yavuz Yarici
Seulgi Kim
M. Prabhushankar
Ghassan AlRegib
Mashhour Solh
Ameya Patil
49
0
0
24 Apr 2025
Effective Data Selection for Seismic Interpretation through Disagreement
Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
25
1
0
01 Jun 2024
FOCAL: A Cost-Aware Video Dataset for Active Learning
FOCAL: A Cost-Aware Video Dataset for Active Learning
Kiran Kokilepersaud
Yash-yee Logan
Ryan Benkert
Chen Zhou
M. Prabhushankar
Ghassan AlRegib
Enrique Corona
Kunjan Singh
Mostafa Parchami
11
3
0
17 Nov 2023
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee
Charles Lehman
M. Prabhushankar
Ghassan AlRegib
11
7
0
06 Apr 2023
Robust Out-of-distribution Detection for Neural Networks
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen
Yixuan Li
Xi Wu
Yingyu Liang
S. Jha
OODD
138
83
0
21 Mar 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Efficient Per-Example Gradient Computations
Efficient Per-Example Gradient Computations
Ian Goodfellow
151
73
0
07 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1