1 code implementation • CoNLL (EMNLP) 2021 • Mareike Hartmann, Miryam de Lhoneux, Daniel Hershcovich, Yova Kementchedjhieva, Lukas Nielsen, Chen Qiu, Anders Søgaard
Negation is one of the most fundamental concepts in human cognition and language, and several natural language inference (NLI) probes have been designed to investigate pretrained language models’ ability to detect and reason with negation.
no code implementations • 5 May 2023 • Wenyan Li, Jonas F. Lotz, Chen Qiu, Desmond Elliott
Recent advances in image captioning are mainly driven by large-scale vision-language pretraining, relying heavily on computational resources and increasingly large multimodal datasets.
no code implementations • 15 Feb 2023 • Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Anomaly detection (AD) plays a crucial role in many safety-critical application domains.
1 code implementation • 15 Feb 2023 • Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph
Selecting informative data points for expert feedback can significantly improve the performance of anomaly detection (AD) in various contexts, such as medical diagnostics or fraud detection.
no code implementations • 11 Nov 2022 • Zhiqing Wei, Xinyi Yang, Chunwei Meng, Xiaoyu Yang, Kaifeng Han, Chen Qiu, Huici Wu
This paper proves the efficiency of IRS enabled ISAC system, which motivates the implementation of IRS to enhance the sensing capability in ISAC system.
1 code implementation • 24 Oct 2022 • Chen Qiu, Dan Oneata, Emanuele Bugliarello, Stella Frank, Desmond Elliott
We call this framework TD-MML: Translated Data for Multilingual Multimodal Learning, and it can be applied to any multimodal dataset and model.
Zero-Shot Cross-Lingual Image-to-Text Retrieval Zero-Shot Cross-Lingual Text-to-Image Retrieval +3
1 code implementation • 18 Jul 2022 • Yifan Gu, Changyang She, Zhi Quan, Chen Qiu, Xiaodong Xu
In this paper, we aim to design low signaling overhead distributed power allocation schemes by using graph neural networks (GNNs), which are scalable to the number of wireless links.
no code implementations • 2 Jul 2022 • Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence.
1 code implementation • 27 May 2022 • Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
Graph-level anomaly detection has become a critical topic in diverse areas, such as financial fraud detection and detecting anomalous activities in social networks.
no code implementations • 17 May 2022 • Toru Kitagawa, Sokbae Lee, Chen Qiu
The literature focuses on minimizing the mean of welfare regret, which can lead to undesirable treatment choice due to sampling uncertainty.
1 code implementation • 16 Feb 2022 • Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
We propose a strategy for training an anomaly detector in the presence of unlabeled anomalies that is compatible with a broad class of models.
1 code implementation • 8 Feb 2022 • Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi Latif, Steffen Staab, Stephan Mandt, Maja Rudolph
We develop a new method to detect anomalies within time series, which is essential in many application domains, reaching from self-driving cars, finance, and marketing to medical diagnosis and epidemiology.
no code implementations • 16 Nov 2021 • Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann
In addition, driving data can often be multimodal in distribution, meaning that there are distinct predictions that are likely, but averaging can hurt model performance.
1 code implementation • CoNLL (EMNLP) 2021 • Heather Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard
Creole languages such as Nigerian Pidgin English and Haitian Creole are under-resourced and largely ignored in the NLP literature.
2 code implementations • 30 Mar 2021 • Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
Data transformations (e. g. rotations, reflections, and cropping) play an important role in self-supervised learning.
no code implementations • 20 Oct 2020 • Chen Qiu, Stephan Mandt, Maja Rudolph
Deep probabilistic time series forecasting models have become an integral part of machine learning.
1 code implementation • 10 Jan 2020 • Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke
Today's mobile robots are expected to operate in complex environments they share with humans.
1 code implementation • IJCNLP 2019 • Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard
Unresolved coreference is a bottleneck for relation extraction, and high-quality coreference resolvers may produce an output that makes it a lot easier to extract knowledge triples.