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1811.04110
Cited By
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Reducing Network Agnostophobia
9 November 2018
A. Dhamija
Manuel Günther
Terrance E. Boult
AAML
UQCV
Re-assign community
ArXiv (abs)
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Papers citing
"Reducing Network Agnostophobia"
50 / 170 papers shown
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
Shravan Chaudhari
Yoav Wald
Suchi Saria
OOD
VLM
284
0
0
01 Dec 2025
Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution
Jaime Álvarez Urueña
David Camacho
Javier Huertas-Tato
162
0
0
20 Nov 2025
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
Tai Hoang
Alessandro Trenta
Alessio Gravina
Niklas Freymuth
P. Becker
D. Bacciu
Gerhard Neumann
AI4CE
132
0
0
11 Nov 2025
Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
Jiahao Huo
Mufhumudzi Muthivhi
Terence L van Zyl
Fredrik Gustafsson
130
0
0
20 Oct 2025
Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction
Lin Wang
273
0
0
17 Oct 2025
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
Runqing Yang
Yimin Fu
Changyuan Wu
Zhunga Liu
228
0
0
08 Sep 2025
Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
Jiawen Xu
O. Kao
BDL
CLL
128
0
0
18 Aug 2025
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
Zihan Fang
Zhiyong Xu
Lan Du
Shide Du
Zhiling Cai
Shiping Wang
178
0
0
02 Aug 2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz
Steve Cruz
Walter J. Scheirer
Terrance Boult
BDL
152
0
0
01 Aug 2025
OPC: One-Point-Contraction Unlearning Toward Deep Feature Forgetting
Jaeheun Jung
Bosung Jung
Suhyun Bae
Donghun Lee
MU
211
0
0
10 Jul 2025
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim
F. Ortmeier
OODD
181
0
0
28 May 2025
Boosting Open Set Recognition Performance through Modulated Representation Learning
Amit Kumar Kundu
Vaishnavi Patil
Joseph Jaja
413
0
0
23 May 2025
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
Moru Liu
Hao Dong
Jessica Kelly
Olga Fink
Mario Trapp
OODD
308
3
0
22 May 2025
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
Jiawen Xu
O. Kao
Margret Keuper
401
0
0
19 May 2025
The Comparability of Model Fusion to Measured Data in Confuser Rejection
Conor Flynn
Christopher Ebersole
Edmund Zelnio
212
0
0
01 May 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
AAAI Conference on Artificial Intelligence (AAAI), 2025
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
251
1
0
28 Mar 2025
Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
Computer Vision and Pattern Recognition (CVPR), 2025
Tai D. Nguyen
Aref Azizpour
Matthew C. Stamm
403
2
0
26 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Q. Hu
Q. Hu
506
5
0
22 Mar 2025
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data
IEEE International Conference on Robotics and Automation (ICRA), 2025
Wenbang Deng
Xieyuanli Chen
Qinghua Yu
Yunze He
Junhao Xiao
Huimin Lu
245
1
0
14 Mar 2025
Test-Time Discovery via Hashing Memory
Fan Lyu
Tianle Liu
Zheng Zhang
Fuyuan Hu
Liang Wang
TTA
293
0
0
12 Mar 2025
Text Classification Under Class Distribution Shift: A Survey
Adriana Valentina Costache
Silviu Florin Gheorghe
Eduard Poesina
Paul Irofti
Radu Tudor Ionescu
OOD
VLM
331
1
0
18 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
658
8
0
03 Jan 2025
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Tianyi Zhang
Atta Norouzian
Aanchan Mohan
Frederick Ducatelle
226
6
0
17 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection
Mingle Xu
Jaehwan Lee
Sook Yoon
D. Park
OODD
188
2
0
08 Oct 2024
TapType: Ten-finger text entry on everyday surfaces via Bayesian inference
International Conference on Human Factors in Computing Systems (CHI), 2022
Paul Streli
Jiaxi Jiang
A. Fender
Manuel Meier
Hugo Romat
Christian Holz
207
43
0
08 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation
International Conference on Learning Representations (ICLR), 2024
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
266
4
0
02 Oct 2024
Lidar Panoptic Segmentation in an Open World
International Journal of Computer Vision (IJCV), 2024
Anirudh S Chakravarthy
Meghana Reddy Ganesina
Peiyun Hu
Laura Leal-Taixe
Shu Kong
Deva Ramanan
Aljosa Osep
168
7
0
22 Sep 2024
Watchlist Challenge: 3rd Open-set Face Detection and Identification
Furkan Kasım
Terrance E. Boult
Rensso Mora
Bernardo Biesseck
Rafael Ribeiro
...
Tomáš Repák
Rafael Henrique Vareto
David Menotti
William Robson Schwartz
Manuel Günther
CVBM
150
1
0
11 Sep 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
228
5
0
28 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
349
3
0
20 Aug 2024
Are CLIP features all you need for Universal Synthetic Image Origin Attribution?
Dario Cioni
Christos Tzelepis
Lorenzo Seidenari
Ioannis Patras
252
8
0
17 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling Chen
Yunchao Wei
VLM
CLL
211
9
0
15 Aug 2024
Distribution-Aware Replay for Continual MRI Segmentation
Nick Lemke
Camila González
Anirban Mukhopadhyay
Martin Mundt
OOD
179
1
0
30 Jul 2024
Are handcrafted filters helpful for attributing AI-generated images?
Jialiang Li
Haoyue Wang
Sheng Li
Zhenxing Qian
Xinpeng Zhang
Athanasios V. Vasilakos
237
3
0
19 Jul 2024
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
329
13
0
18 Apr 2024
Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
Jiawen Xu
Margret Keuper
233
1
0
16 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Zhengqing Gao
Xu-Yao Zhang
Cheng-Lin Liu
TTA
265
13
0
09 Apr 2024
SCOD: From Heuristics to Theory
Vojtech Franc
Jakub Paplhám
D. Prusa
187
3
0
25 Mar 2024
Fast and Simple Explainability for Point Cloud Networks
Meir Yossef Levi
Guy Gilboa
3DPC
252
7
0
12 Mar 2024
Open-World Semantic Segmentation Including Class Similarity
Computer Vision and Pattern Recognition (CVPR), 2024
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
221
19
0
12 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
252
12
0
06 Mar 2024
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
337
28
0
23 Feb 2024
All Beings Are Equal in Open Set Recognition
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
241
6
0
31 Jan 2024
A Survey on Open-Set Image Recognition
Qiulei Dong
Qiulei Dong
BDL
ObjD
231
11
0
25 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
Nikhil Mehta
Kevin J. Liang
Jing Huang
Fu-Jen Chu
Li Yin
Tal Hassner
OODD
212
3
0
22 Dec 2023
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning
Chen Liu
Can Han
Shilun Cai
C. Cai
Suncheng Xiang
Hualiang Ni
Xiaobo Li
283
4
0
05 Dec 2023
AdaTyper: Adaptive Semantic Column Type Detection
Madelon Hulsebos
Paul Groth
cCaugatay Demiralp
LMTD
133
4
0
23 Nov 2023
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss
Image and Vision Computing (IVC), 2023
Rafael Henrique Vareto
Linghu Yu
Terrance E. Boult
William Robson Schwartz
Manuel Günther
313
12
0
01 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Zhenbang Du
Jiayu An
Yunlu Tu
Jiahao Hong
Dongrui Wu
MoE
322
1
0
01 Nov 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sungmin Cho
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
232
2
0
23 Oct 2023
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