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Found 12 papers, 7 papers with code
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance
This paper introduces our submission for the SemEval 2022 Task 8: Multilingual News Article Similarity.
WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices
We present a system that creates pair-wise cosine and arccosine sentence similarity matrices using multilingual sentence embeddings obtained from pre-trained SBERT and Universal Sentence Encoder (USE) models respectively.
Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
Furthermore, we extended this evaluation using an independent dataset that features completely different users, tasks, and three different XR devices.
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
Therefore, we present Language-Guided Zero-Shot Deep Metric Learning (LanZ-DML) as a new DML setting in which users control the properties that should be important for image representations without training data by only using natural language.
On Background Bias in Deep Metric Learning
Deep Metric Learning trains a neural network to map input images to a lower-dimensional embedding space such that similar images are closer together than dissimilar images.
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
In this paper, we investigate this by conducting a two-step analysis to extract and compare the learned visual features of the same model architecture trained with different loss functions: First, we compare the learned features on the pixel level by correlating saliency maps of the same input images.
NICER: Aesthetic Image Enhancement with Humans in the Loop
However, fully-automatic approaches usually enhance the image in a black-box manner that does not give the user any control over the optimization process, possibly leading to edited images that do not subjectively appeal to the user.
Where to Submit? Helping Researchers to Choose the Right Venue
Whenever researchers write a paper, the same question occurs: {``}Where to submit?
Improving Sentiment Analysis with Biofeedback Data
Humans frequently are able to read and interpret emotions of others by directly taking verbal and non-verbal signals in human-to-human communication into account or to infer or even experience emotions from mediated stories.
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Precision beekeeping allows to monitor bees' living conditions by equipping beehives with sensors.
SimLoss: Class Similarities in Cross Entropy
One common loss function in neural network classification tasks is Categorical Cross Entropy (CCE), which punishes all misclassifications equally.
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
In this paper, we advocate a paradigm shift for LUR models: We propose the Data-driven, Open, Global (DOG) paradigm that entails models based on purely data-driven approaches using only openly and globally available data.
