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1803.04765
Cited By
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
13 March 2018
Nicolas Papernot
Patrick McDaniel
OOD
AAML
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Papers citing
"Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning"
50 / 294 papers shown
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OOD
AAML
155
0
0
03 Dec 2025
Knowledge Graphs as Structured Memory for Embedding Spaces: From Training Clusters to Explainable Inference
A. A. Oliveira
Mateus Espadoto
Roberto Hirata Jr.
Roberto Hirata Jr.
124
0
0
18 Nov 2025
Additive Large Language Models for Semi-Structured Text
Karthikeyan K
Raghuveer Thirukovalluru
David Edwin Carlson
112
0
0
14 Nov 2025
Robust Nearest Neighbour Retrieval Using Targeted Manifold Manipulation
B. Ghosh
H. Harikumar
S. Rana
103
0
0
09 Nov 2025
Cluster Paths: Navigating Interpretability in Neural Networks
Nicholas M. Kroeger
Vincent Bindschaedler
123
0
0
08 Oct 2025
Onto-Epistemological Analysis of AI Explanations
Martina Mattioli
Eike Petersen
Aasa Feragen
Marcello Pelillo
Siavash Bigdeli
231
0
0
03 Oct 2025
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
Jing Wang
Wonho Bae
Jiahong Chen
Wenxu Wang
Junhyug Noh
264
0
0
01 Oct 2025
Investigating Feature Attribution for 5G Network Intrusion Detection
Federica Uccello
Simin Nadjm-Tehrani
FAtt
213
1
0
12 Sep 2025
Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
I.I. Priezzhev
D.A. Danko
A.V. Shubin
89
0
0
26 Aug 2025
Separating Knowledge and Perception with Procedural Data
Adrian Rodriguez-Munoz
Manel Baradad
Phillip Isola
Antonio Torralba
VLM
OCL
285
0
0
12 Aug 2025
Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
IEEE Transactions on Wireless Communications (TWC), 2025
Nasir Khan
Asmaa Abdallah
Abdulkadir Çelik
Ahmed M. Eltawil
Sinem Coleri
163
3
0
12 Jul 2025
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
Itay Niv
Neta Rabin
OOD
177
0
0
25 Jun 2025
Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Shaoyu Dou
Kai Yang
Yang Jiao
Chengbo Qiu
Kui Ren
AI4TS
167
5
0
20 Jun 2025
SoftStep: Learning Sparse Similarity Powers Deep Neighbor-Based Regression
Aviad Susman
Baihan Lin
Mayte Suárez-Fariñas
Joseph T Colonel
181
0
0
09 Jun 2025
Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
Conference on Fairness, Accountability and Transparency (FAccT), 2025
Min Hun Lee
Martyn Zhe Yu Tok
214
1
0
23 May 2025
Bi-directional Model Cascading with Proxy Confidence
David Warren
Mark Dras
282
1
0
27 Apr 2025
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom
Raz Lapid
Moshe Sipper
Ofer Hadar
VLM
ObjD
AAML
416
5
0
07 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu
Sayedmohammadreza Rastegari
Yijun Huang
Sxe Chang Cheong
Weikang Liu
...
Sina Tabakhi
Xianyuan Liu
Zheqing Zhu
Wei Sang
Haiping Lu
293
1
0
04 Apr 2025
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2025
Gabriele Sanguin
Arjun Pakrashi
Marco Viola
Francesco Rinaldi
365
0
0
17 Mar 2025
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
Atefeh Termehchi
Ekram Hossain
Isaac Woungang
270
3
0
04 Mar 2025
Obtaining Example-Based Explanations from Deep Neural Networks
International Symposium on Intelligent Data Analysis (IDA), 2025
Genghua Dong
Henrik Bostrom
Michalis Vazirgiannis
Roman Bresson
TDI
FAtt
XAI
290
1
0
27 Feb 2025
Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks
Nasir Khan
Asmaa Abdallah
Abdulkadir Çelik
Ahmed M. Eltawil
Sinem Coleri
150
1
0
23 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
International Conference on Learning Representations (ICLR), 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
890
0
0
20 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2025
N. Dennler
Stefanos Nikolaidis
Maja J. Matarić
924
1
0
03 Jan 2025
A novel framework for MCDM based on Z numbers and soft likelihood function
Yuanpeng He
221
2
0
26 Dec 2024
Lightweight Safety Classification Using Pruned Language Models
Mason Sawtell
Tula Masterman
Sandi Besen
Jim Brown
236
4
0
18 Dec 2024
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
189
0
0
11 Nov 2024
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
Charles Camboulin
Diego Doimo
Aldo Glielmo
DRL
219
1
0
04 Nov 2024
Learning local discrete features in explainable-by-design convolutional neural networks
Pantelis I. Kaplanoglou
Konstantinos Diamantaras
FAtt
343
1
0
31 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Neural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
329
15
0
27 Oct 2024
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
Kuofeng Gao
Huanqia Cai
Qingyao Shuai
Dihong Gong
Zhifeng Li
LRM
ReLM
244
1
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14 Oct 2024
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning
A. Diallo
Vaishak Belle
P. Patras
AAML
282
0
0
07 Oct 2024
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
Abdul Qayyum
Moona Mazher Imran Razzak
Steven Niederer
MedIm
151
0
0
23 Sep 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu
Zonglin Di
Jiaheng Wei
Zhongruo Wang
Hengxiang Zhang
...
Haobo Wang
Lei Feng
Yongfeng Zhang
James Davis
Yang Liu
232
18
0
21 Aug 2024
Towards flexible perception with visual memory
Robert Geirhos
P. Jaini
Austin Stone
Sourabh Medapati
Xi Yi
G. Toderici
Abhijit Ogale
Jonathon Shlens
498
2
0
15 Aug 2024
SAMSA: Efficient Transformer for Many Data Modalities
Minh Lenhat
Viet Anh Nguyen
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong-Son Hy
372
1
0
10 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
358
24
0
27 Jul 2024
CELL your Model: Contrastive Explanations for Large Language Models
Ronny Luss
Erik Miehling
Amit Dhurandhar
537
0
0
17 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang
S. Lala
N. Jha
522
5
0
01 Jun 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback
Harit Vishwakarma
Heguang Lin
Ramya Korlakai Vinayak
OODD
271
9
0
25 Apr 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
Teodor Chiaburu
Frank Haußer
Felix Bießmann
219
5
0
23 Apr 2024
Uncertainty in Language Models: Assessment through Rank-Calibration
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xinmeng Huang
Shuo Li
Mengxin Yu
Matteo Sesia
Hamed Hassani
Insup Lee
Osbert Bastani
Guang Cheng
240
32
0
04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
450
12
0
31 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
L. E. Hogeweg
R. Gangireddy
D. Brunink
Vincent J. Kalkman
L. Cornelissen
J. W. Kamminga
OODD
210
6
0
11 Mar 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
260
0
0
22 Feb 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration
Jiexin Wang
Jiahao Chen
Fuchun Sun
UQCV
211
1
0
14 Feb 2024
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
Zuobai Zhang
Jiarui Lu
Vijil Chenthamarakshan
Aurélie C. Lozano
Payel Das
Jian Tang
163
1
0
10 Feb 2024
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
International Conference on Software Engineering (ICSE), 2024
Shibbir Ahmed
Hongyang Gao
Hridesh Rajan
277
3
0
26 Jan 2024
Interpreting Equivariant Representations
International Conference on Machine Learning (ICML), 2024
Andreas Abildtrup Hansen
Anna Calissano
Aasa Feragen
332
2
0
23 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection
Sicong Huang
Jiawei He
Kry Yik-Chau Lui
209
0
0
10 Jan 2024
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