Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1901.09960
Cited By
Using Pre-Training Can Improve Model Robustness and Uncertainty
28 January 2019
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Using Pre-Training Can Improve Model Robustness and Uncertainty"
50 / 155 papers shown
Title
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
26
48
0
01 May 2022
Adversarial Robustness through the Lens of Convolutional Filters
Paul Gavrikov
J. Keuper
38
15
0
05 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
24
31
0
29 Mar 2022
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
24
105
0
25 Mar 2022
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
51
107
0
02 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang
Min-Bin Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
30
119
0
21 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu
Ziqi Zhao
Sabine Süsstrunk
Mathieu Salzmann
TPM
AAML
MQ
29
4
0
03 Feb 2022
Investigating Transfer Learning in Graph Neural Networks
Nishai Kooverjee
Steven D. James
Terence L van Zyl
GNN
33
15
0
01 Feb 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
38
1
0
29 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
31
5
0
28 Dec 2021
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
Qingyuan Gong
Yu Liu
Liqiang Zhang
Renhe Liu
ObjD
VLM
33
3
0
22 Dec 2021
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
S. Clinchant
NoLa
VLM
27
16
0
20 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
23
13
0
14 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
Dan Hendrycks
Andy Zou
Mantas Mazeika
Leonard Tang
Bo-wen Li
D. Song
Jacob Steinhardt
UQCV
23
137
0
09 Dec 2021
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng
Hao Yang
Ting Zhang
Jianmin Bao
Dongdong Chen
Yangyu Huang
Lu Yuan
Dong Chen
Ming Zeng
Fang Wen
CVBM
146
163
0
06 Dec 2021
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
AAML
60
11
0
05 Dec 2021
Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu
Volker Tresp
Yao Qin
AAML
ViT
38
60
0
20 Nov 2021
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
17
270
0
09 Nov 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
43
17
0
09 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura
J. H. Metzen
Matthias Hein
OOD
26
14
0
02 Nov 2021
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
21
61
0
27 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
27
106
0
26 Oct 2021
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao
Ming Zhou
C. Bezemer
Cho-Jui Hsieh
AAML
27
17
0
22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
188
879
0
21 Oct 2021
Robustness and Reliability When Training With Noisy Labels
Amanda Olmin
Fredrik Lindsten
OOD
NoLa
24
14
0
07 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree
Saurav Kadavath
Samuel Paradis
Brian Yao
VLM
CLIP
OffRL
OnRL
20
1
0
06 Oct 2021
Post-hoc Models for Performance Estimation of Machine Learning Inference
Xuechen Zhang
Samet Oymak
Jiasi Chen
UQCV
15
4
0
06 Oct 2021
Improving Neural Machine Translation by Bidirectional Training
Liang Ding
Di Wu
Dacheng Tao
29
29
0
16 Sep 2021
Adversarial Robustness for Unsupervised Domain Adaptation
Muhammad Awais
Fengwei Zhou
Hang Xu
Lanqing Hong
Ping Luo
Sung-Ho Bae
Zhenguo Li
20
39
0
02 Sep 2021
Towards to Robust and Generalized Medical Image Segmentation Framework
Yurong Chen
OOD
33
3
0
09 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
24
48
0
03 Aug 2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Shiming Chen
Wenjie Wang
Beihao Xia
Qinmu Peng
Xinge You
Feng Zheng
Ling Shao
VLM
24
134
0
29 Jul 2021
The USYD-JD Speech Translation System for IWSLT 2021
Liang Ding
Di Wu
Dacheng Tao
29
16
0
24 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients
Alessandro Cappelli
Julien Launay
Laurent Meunier
Ruben Ohana
Iacopo Poli
AAML
24
4
0
06 Jul 2021
The Values Encoded in Machine Learning Research
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
38
274
0
29 Jun 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
20
6
0
25 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Chunwei Ma
Ziyun Huang
Jiayi Xian
Mingchen Gao
Jinhui Xu
UQCV
33
14
0
25 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Dong Lee
Sae-Young Chung
29
20
0
22 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
36
52
0
18 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement
Aditya Singh
Alessandro Bay
B. Sengupta
Andrea Mirabile
AAML
27
2
0
17 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Bo-wen Li
AAML
24
217
0
17 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren
Stanislav Fort
J. Liu
Abhijit Guha Roy
Shreyas Padhy
Balaji Lakshminarayanan
UQCV
33
216
0
16 Jun 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Li-Ming Zhan
Haowen Liang
Bo Liu
Lu Fan
Xiao-Ming Wu
Albert Y. S. Lam
OODD
18
75
0
16 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
27
8
0
15 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization
Marine Picot
Francisco Messina
Malik Boudiaf
Fabrice Labeau
Ismail Ben Ayed
Pablo Piantanida
AAML
28
23
0
12 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
31
83
0
24 May 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
Leo Schwinn
René Raab
A. Nguyen
Dario Zanca
Bjoern M. Eskofier
AAML
14
58
0
21 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Jiahang Wang
Sheng Jin
Wentao Liu
Weizhong Liu
Chao Qian
Ping Luo
AAML
11
56
0
13 May 2021
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
Hanyang Liu
Michael C. Montana
Dingwen Li
Chase Renfroe
Thomas Kannampallil
Chenyang Lu
38
2
0
30 Apr 2021
Previous
1
2
3
4
Next