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Found 6 papers, 2 papers with code
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference
We perform experiments on English-Hindi language pairs in the cross-lingual setting to find out that our novel loss formulation could enhance the performance of the baseline model by up to 2%.
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
Recently, the fundamental problem of unsupervised domain adaptation (UDA) on 3D point clouds has been motivated by a wide variety of applications in robotics, virtual reality, and scene understanding, to name a few.
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models
In this paper, we present ComplAI, a unique framework to enable, observe, analyze and quantify explainability, robustness, performance, fairness, and model behavior in drift scenarios, and to provide a single Trust Factor that evaluates different supervised Machine Learning models not just from their ability to make correct predictions but from overall responsibility perspective.
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
The outcomes of this track would be helpful for the automation of the working process of the Indian Judiciary System.
Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
The proposed model outperformed the existing baseline models and emerged as the state-of-the-art model for detecting hostility in the Hindi posts.
A Deep Learning Approach for Automatic Detection of Fake News
We evaluate our techniques on the two recently released datasets, namely FakeNews AMT and Celebrity for fake news detection.
