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Found 9 papers, 3 papers with code
Hyperbolic Metric Learning for Visual Outlier Detection
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications.
Estimating Text Similarity based on Semantic Concept Embeddings
Due to their ease of use and high accuracy, Word2Vec (W2V) word embeddings enjoy great success in the semantic representation of words, sentences, and whole documents as well as for semantic similarity estimation.
Towards Reliable Dermatology Evaluation Benchmarks
Benchmark datasets for digital dermatology unwittingly contain inaccuracies that reduce trust in model performance estimates.
Assessing Guest Nationality Composition from Hotel Reviews
Many hotels target guest acquisition efforts to specific markets in order to best anticipate individual preferences and needs of their guests.
Robust T-Loss for Medical Image Segmentation
Our results provide strong evidence that the T-Loss is a promising alternative for medical image segmentation where high levels of noise or outliers in the dataset are a typical phenomenon in practice.
SelfClean: A Self-Supervised Data Cleaning Strategy
Most benchmark datasets for computer vision contain irrelevant images, near duplicates, and label errors.
Cable Tree Wiring -- Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints
We summarize our investigations to model this cable tree wiring Problem (CTW) as a traveling salesman problem with atomic, soft atomic, and disjunctive precedence constraints as well as tour-dependent edge costs such that it can be solved by state-of-the-art constraint programming (CP), Optimization Modulo Theories (OMT), and mixed-integer programming (MIP) solvers.
Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing
The prevalent way to estimate the similarity of two documents based on word embeddings is to apply the cosine similarity measure to the two centroids obtained from the embedding vectors associated with the words in each document.
Sufficient and necessary conditions for Dynamic Programming in Valuation-Based Systems
In spite of that, the mainline of Pouly and Kohlas' theory is correct, although some of the necessary conditions have to be revised.
