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. 1511.09033
  4. Cited By
The Multiverse Loss for Robust Transfer Learning

The Multiverse Loss for Robust Transfer Learning

29 November 2015
Etai Littwin
Lior Wolf
    OOD
ArXivPDFHTML

Papers citing "The Multiverse Loss for Robust Transfer Learning"

9 / 9 papers shown
Title
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
63
19
0
27 Jan 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers
  Solutions with Superior OOD Generalization
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Damien Teney
Ehsan Abbasnejad
Simon Lucey
Anton Van Den Hengel
28
87
0
12 May 2021
Supervised Learning of Universal Sentence Representations from Natural
  Language Inference Data
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau
Douwe Kiela
Holger Schwenk
Loïc Barrault
Antoine Bordes
AI4TS
SSL
22
2,093
0
05 May 2017
Multi-Task Convolutional Neural Network for Pose-Invariant Face
  Recognition
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
Xi Yin
Xiaoming Liu
CVBM
50
283
0
15 Feb 2017
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
16
16
0
07 Sep 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
25
49
0
09 Jun 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
250
921
0
03 Dec 2014
1