Papers
18,290 papers found
A Pipeline to Evaluate the Effects of Noise on Machine Learning Detection of Laryngeal Cancer
Mary Paterson, James Moor, Luisa Cutillo
Speaker Extraction with Detection of Presence and Absence of Target Speakers
Ke Zhang, Marvin Borsdorf, Zexu Pan et al.
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment
Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur et al.
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Ren, Balaji Lakshminarayanan
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
Xingming Long, Jie Zhang, Shiguang Shan et al.
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang, Jinggang Chen, Xiaoyang Qu et al.
On the Learnability of Out-of-distribution Detection
Zhen Fang, Yixuan Li, Feng Liu et al.
Using relative entropy for detection and analysis of periods of diachronic linguistic change
Stefania Degaetano-Ortlieb, Elke Teich
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis et al.
hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)
Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz
Analysis of Variational Mode Functions for Robust Detection of Vowels
Surbhi Sakshi, Avinash Kumar, Gayadhar Pradhan
Detection of Abusive Language: the Problem of Biased Datasets
Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer
hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)
Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng, Qizhou Wang, Zhen Fang et al.
You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models
Alexander Baranov, Vladimir Kniazhevsky, Pavel Braslavski
A Critical Analysis of Document Out-of-Distribution Detection
Jiuxiang Gu, Yifei Ming, Yi Zhou et al.
Capybara at the Financial Misinformation Detection Challenge Task: Chain-of-Thought Enhanced Financial Misinformation Detection
Yupeng Cao, Haohang Li, Yangyang Yu et al.
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
Jianguo Zhang, Kazuma Hashimoto, Yao Wan et al.
Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies
Florian Ludwig, Klara Dolos, Ana Alves-Pinto et al.
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
Md Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
Congxi Xiao, Jingbo Zhou, Jizhou Huang et al.
Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues
Matthew Shardlow, Ashley Williams, Charlie Roadhouse et al.