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Projection Regret: Reducing Background Bias for Novelty Detection via
  Diffusion Models

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

5 December 2023
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
    DiffM
ArXivPDFHTML

Papers citing "Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models"

13 / 13 papers shown
Title
AgentPeerTalk: Empowering Students through Agentic-AI-Driven Discernment
  of Bullying and Joking in Peer Interactions in Schools
AgentPeerTalk: Empowering Students through Agentic-AI-Driven Discernment of Bullying and Joking in Peer Interactions in Schools
Aditya Paul
Chi Lok Yu
Eva Adelina Susanto
Nicholas Wai Long Lau
Gwenyth Isobel Meadows
LLMAG
35
3
0
27 Jul 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion
  Model
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng
Alexandre H. Thiery
Harold Soh
51
1
0
20 May 2024
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation
  From Clean Images
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
Mareike Thies
Noah Maul
Siyuan Mei
Laura Pfaff
Nastassia Vysotskaya
...
Jonas Utz
Dennis Possart
Lukas Folle
Fabian Wagner
Andreas Maier
MedIm
DiffM
31
0
0
23 Apr 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
31
5
0
18 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
Rahul G. Krishnan
G. Loaiza-Ganem
OODD
26
9
0
27 Mar 2024
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Shirley Wu
Mert Yuksekgonul
Linjun Zhang
James Zou
80
56
0
01 May 2023
Guiding Energy-based Models via Contrastive Latent Variables
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee
Jongheon Jeong
Sejun Park
Jinwoo Shin
BDL
32
14
0
06 Mar 2023
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen
Hexiang Hu
Chitwan Saharia
William W. Cohen
VLM
125
161
0
29 Sep 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
R. Kaur
Kaustubh Sridhar
Sangdon Park
Susmit Jha
Anirban Roy
O. Sokolsky
Insup Lee
OODD
AI4TS
144
0
0
24 Jul 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
516
0
06 Dec 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
151
74
0
12 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
143
103
0
14 Jul 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
300
75,834
0
18 May 2015
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