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Found 13 papers, 5 papers with code
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
This paper concentrates on an unexplored yet meaningful task, i. e., interactive point cloud semantic segmentation, which assigns high-quality semantic labels to all points in a scene with user corrective clicks.
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Models trained with empirical risk minimization (ERM) are revealed to easily rely on spurious correlations, resulting in poor generalization.
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
The principle of continual relation extraction~(CRE) involves adapting to emerging novel relations while preserving od knowledge.
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
When delving into a lower manifold to remove redundancies, RISK reveals that an extremely low-dimensional subspace with intended features can robustly represent the highly biased dataset.
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Most of the existing debiasing methods often identify and weaken these samples with biased features (i. e., superficial surface features that cause such spurious correlations).
GANet: Glyph-Attention Network for Few-Shot Font Generation
Font generation is a valuable but challenging task, it is time consuming and costly to design font libraries which cover all glyphs with various styles.
Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
Restless bandit problems with even finite state spaces are PSPACE-HARD in general.
A Wideband Sliding Correlation Channel Sounder in 65 nm CMOS: Evaluation Board Performance
This paper presents a compact sliding correlation-based channel sounder baseband built on a monolithic integrated circuit (IC) using 65 nm CMOS, implemented as an evaluation board achieving a 2 GHz RF bandwidth.
Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
Humans express feelings or emotions via different channels.
A Wideband Sliding Correlator based Channel Sounder in 65 nm CMOS: An Evaluation Board Design
Wide swaths of bandwidth at millimeter-wave (mmWave) and Terahertz (THz) frequencies stimulate diverse applications in wireless sensing, imaging, position location, cloud computing, and much more.
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction
However, as the mobile data of vehicles has been widely collected by sensor-embedded devices in transportation systems, it is possible to predict the traffic flow by analysing mobile data.
The Human Body and Millimeter-Wave Wireless Communication Systems: Interactions and Implications
With increasing interest in millimeter wave wireless communications, investigations on interactions between the human body and millimeter wave devices are becoming important.
Emerging Technologies
The Extended UCB Policies for Frequentist Multi-armed Bandit Problems
The multi-armed bandit (MAB) problem is a widely studied model in the field of reinforcement learning.
