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Found 6 papers, 0 papers with code
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs
Pre-trained language models (PLMs) such as BERT and RoBERTa have dramatically improved the performance of various natural language processing tasks.
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
We propose an accuracy-preserving calibration method using the Concrete distribution as the probabilistic model on the probability simplex.
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
One major challenge in machine learning applications is coping with mismatches between the datasets used in the development and those obtained in real-world applications.
A Markov chain approximation of switched Fokker-Planck equations for a model of on-off intermittency in the postural control during quiet standing
The intermittent on-off switching of feedback control is considered as a major mechanism of postural stabilization during human quiet standing, which can be modeled by switched-type hybrid stochastic delay differential equations with unstable subsystems.
Revisiting Fine-tuning for Few-shot Learning
With both tasks, we show that our method achieves higher accuracy than common few-shot learning algorithms.
Noise-Level Estimation from Single Color Image Using Correlations Between Textures in RGB Channels
We propose a simple method for estimating noise level from a single color image.
