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Found 6 papers, 4 papers with code
A continuous Structural Intervention Distance to compare Causal Graphs
Understanding and adequately assessing the difference between a true and a learnt causal graphs is crucial for causal inference under interventions.
Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series
Multivariate time series data that capture the temporal evolution of interconnected systems are ubiquitous in diverse areas.
One to rule them all: Towards Joint Indic Language Hate Speech Detection
This paper is a contribution to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) 2021 shared task.
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Language models based on the Transformer architecture have achieved state-of-the-art performance on a wide range of NLP tasks such as text classification, question-answering, and token classification.
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
In this paper, Bayesian Convolutional Neural Network (BayesCNN) using Variational Inference is proposed, that introduces probability distribution over the weights.
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
On multiple datasets in supervised learning settings (MNIST, CIFAR-10, CIFAR-100), this variational inference method achieves performances equivalent to frequentist inference in identical architectures, while the two desiderata, a measure for uncertainty and regularization are incorporated naturally.
