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1412.1897
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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Computer Vision and Pattern Recognition (CVPR), 2014
5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
Re-assign community
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
International Conference on Machine Learning (ICML), 2023
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
208
18
0
06 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey
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Hubert Baniecki
P. Biecek
AAML
515
116
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06 Jun 2023
Enhance Diffusion to Improve Robust Generalization
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Jianhui Sun
Sanchit Sinha
Aidong Zhang
290
4
0
05 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
International Conference on Learning Representations (ICLR), 2023
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Jianguo Huang
OOD
OODD
413
11
0
03 Jun 2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
International Conference on Pattern Recognition (ICPR), 2023
Liangxuan Guo
Yang Chen
Shan Yu
OODD
CLL
293
3
0
01 Jun 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
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Bibek Panthi
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P. Gyawali
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Binod Bhattarai
OODD
164
4
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28 May 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
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Jun Zhu
Bo Zhang
Xiaolin Hu
AAML
112
2
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28 May 2023
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov
Zakhar Shumaylov
Yiren Zhao
Y. Gal
Nicolas Papernot
Ross J. Anderson
DiffM
392
402
0
27 May 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Dheeraj Mekala
Adithya Samavedhi
Chengyu Dong
Jingbo Shang
OODD
181
2
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24 May 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Rheeya Uppaal
Junjie Hu
Shouqing Yang
OODD
344
43
0
22 May 2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
Computer Vision and Pattern Recognition (CVPR), 2023
Amira Guesmi
Ruitian Ding
Muhammad Abdullah Hanif
Ihsen Alouani
Mohamed Bennai
AAML
327
48
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19 May 2023
Noise robust neural network architecture
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Hongwei Xiong
132
1
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16 May 2023
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments
International Conference on Wireless Communications and Mobile Computing (IWCMC), 2023
The-Yuan Chow
Usman Raza
Ioannis Mavromatis
Aftab Khan
123
8
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15 May 2023
Monitoring and Adapting ML Models on Mobile Devices
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Wei Hao
Zixi Wang
Lauren Hong
Lingxi Li
Nader Karayanni
Chengzhi Mao
Junfeng Yang
Asaf Cidon
OffRL
171
6
0
12 May 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
Lars Skaaret-Lund
G. Storvik
A. Hubin
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UQCV
188
3
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Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
E. Gale
Oliver Matthews
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83
0
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27 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Aditya Challa
Snehanshu Saha
S. Dhavala
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253
2
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25 Apr 2023
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis
International Conference on Data Technologies and Applications (DATA), 2023
Elias Werner
Nishant Kumar
Matthias Lieber
Sunna Torge
Stefan Gumhold
W. Nagel
148
7
0
17 Apr 2023
Uncertainty Propagation in Node Classification
Industrial Conference on Data Mining (IDM), 2022
Zhao Xu
Carolin (Haas) Lawrence
Ammar Shaker
Raman Siarheyeu
BDL
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286
2
0
03 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Computer Vision and Pattern Recognition (CVPR), 2023
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
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176
1
0
24 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
175
26
0
22 Mar 2023
Wasserstein Loss for Semantic Editing in the Latent Space of GANs
International Conference on Content-Based Multimedia Indexing (CBMI), 2023
Perla Doubinsky
Nicolas Audebert
M. Crucianu
Hervé Le Borgne
GAN
105
2
0
22 Mar 2023
The Representational Status of Deep Learning Models
Eamon Duede
289
3
0
21 Mar 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
327
25
0
18 Mar 2023
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
346
4
0
17 Mar 2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
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Chia-Yu Hsu
Wenwen Li
AAML
FAtt
130
52
0
16 Mar 2023
Frequency-Modulated Point Cloud Rendering with Easy Editing
Computer Vision and Pattern Recognition (CVPR), 2023
Yi Zhang
Xiaoyang Huang
Bingbing Ni
Teng Li
Wenjun Zhang
166
17
0
14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
181
17
0
13 Mar 2023
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
H. Qadir
Younghak Shin
Jacob Bergsland
I. Balasingham
MedIm
178
6
0
10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
242
0
0
10 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
International Conference on Learning Representations (ICLR), 2023
Qizhou Wang
Junjie Ye
Yifan Zhang
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
342
56
0
09 Mar 2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
AAAI Conference on Artificial Intelligence (AAAI), 2023
Chase Yakaboski
E. Santos
182
2
0
08 Mar 2023
A topological classifier to characterize brain states: When shape matters more than variance
PLoS ONE (PLoS ONE), 2023
Aina Ferrà
G. Cecchini
Fritz-Pere Nobbe Fisas
Carles Casacuberta
I. Cos
156
2
0
07 Mar 2023
EscherNet 101
Christopher Funk
Yanxi Liu
122
0
0
07 Mar 2023
Non-Parametric Outlier Synthesis
International Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Shouqing Yang
OODD
240
143
0
06 Mar 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
International Conference on Information Photonics (ICIP), 2023
Amira Guesmi
Ioan Marius Bilasco
Mohamed Bennai
Ihsen Alouani
GAN
AAML
246
26
0
03 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
International Conference on Human Factors in Computing Systems (CHI), 2023
D. Song
Zhijie Wang
Yuheng Huang
Lei Ma
Tianyi Zhang
152
8
0
02 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
213
15
0
02 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Mohammad Mohammadi
Jonathan Nöther
Debmalya Mandal
Adish Singla
Goran Radanović
AAML
OffRL
188
12
0
27 Feb 2023
Novel Class Discovery: an Introduction and Key Concepts
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V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
218
32
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22 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
International Conference on Machine Learning (ICML), 2023
Weitang Liu
Ying-Wai Li
Yi-Zhuang You
Jingbo Shang
145
2
0
19 Feb 2023
Probabilistic Circuits That Know What They Don't Know
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Fabrizio G. Ventola
Steven Braun
Zhongjie Yu
Martin Mundt
Kristian Kersting
UQCV
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286
8
0
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Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
SN Computer Science (SN Comput. Sci.), 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
203
54
0
13 Feb 2023
Learning from Noisy Crowd Labels with Logics
IEEE International Conference on Data Engineering (ICDE), 2023
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLa
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272
9
0
13 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
240
3
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07 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2023
Yuancheng Xu
Yanchao Sun
Micah Goldblum
Tom Goldstein
Furong Huang
AAML
334
47
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06 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness
European Conference on Computer Vision (ECCV), 2023
Ailin Deng
Shen Li
Miao Xiong
Zhirui Chen
Bryan Hooi
157
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Asymmetric Certified Robustness via Feature-Convex Neural Networks
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Samuel Pfrommer
Brendon G. Anderson
Julien Piet
Somayeh Sojoudi
AAML
236
9
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03 Feb 2023
Plugin estimators for selective classification with out-of-distribution detection
International Conference on Learning Representations (ICLR), 2023
Harikrishna Narasimhan
A. Menon
Wittawat Jitkrittum
Surinder Kumar
OODD
305
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0
29 Jan 2023
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records
Tayyab Nasir
M. K. Malik
101
2
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12 Jan 2023
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