Results 1 to 10 of about 975,031 (160)
Time-Series Representation Learning via Temporal and Contextual Contrasting [PDF]
International Joint Conference on Artificial Intelligence, 2021 Learning decent representations from unlabeled time-series data with temporal dynamics is a very challenging task. In this paper, we propose an unsupervised Time-Series representation learning framework via Temporal and Contextual Contrasting (TS-TCC ...
Emadeldeen Eldele +6 more
semanticscholar +1 more source
Contextual Transformer Networks for Visual Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Transformer with self-attention has led to the revolutionizing of NLP field, and recently inspires the emergence of Transformer-style architecture design with competitive results in numerous CV tasks.
Ye-Hao Li +3 more
semanticscholar +1 more source
Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments
Sensors, 2023 Statistical learning techniques and increased computational power have facilitated the development of self-driving car technology. However, a limiting factor has been the high expense of scaling and maintaining high-definition (HD) maps. These maps are a
Hengyuan Zhang +5 more
doaj +1 more source
Frontiers in Psychology, 2021 Delayed responses are a common phenomenon in experience sampling studies. Yet no consensus exists on whether they should be excluded from the analysis or what the threshold for exclusion should be.
Gudrun Eisele +4 more
doaj +1 more source
Advances in Methods and Practices in Psychological Science, 2021 A growing interest in understanding complex and dynamic psychological processes as they occur in everyday life has led to an increase in studies using ambulatory assessment techniques, including the experience-sampling method (ESM) and ecological ...
Olivia J. Kirtley +4 more
doaj +1 more source
A contextual-bandit approach to personalized news article recommendation [PDF]
The Web Conference, 2010 Personalized web services strive to adapt their services (advertisements, news articles, etc.) to individual users by making use of both content and user information.
Lihong Li +3 more
semanticscholar +1 more source
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines. Recently, many approaches have been devoted to perceiving conversational context by deep learning models.
Dou Hu, Lingwei Wei, X. Huai
semanticscholar +1 more source
Aggregated Contextual Transformations for High-Resolution Image Inpainting [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 Image inpainting that completes large free-form missing regions in images is a promising yet challenging task. State-of-the-art approaches have achieved significant progress by taking advantage of generative adversarial networks (GAN).
Yanhong Zeng +3 more
semanticscholar +1 more source
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Replacing static word embeddings with contextualized word representations has yielded significant improvements on many NLP tasks. However, just how contextual are the contextualized representations produced by models such as ELMo and BERT?
Kawin Ethayarajh
semanticscholar +1 more source
Conditional Generative Models for Dynamic Trajectory Generation and Urban Driving
Sensors, 2023 This work explores methodologies for dynamic trajectory generation for urban driving environments by utilizing coarse global plan representations. In contrast to state-of-the-art architectures for autonomous driving that often leverage lane-level high ...
David Paz +4 more
doaj +1 more source