Dhanajit Brahma

Journal Article IEEE Transactions on Affective Computing · April 1, 2024 Text-based emotion prediction is an important task in the field of affective computing. Most prior work has been restricted to predicting emotions corresponding to a few high-level emotion classes. This paper explores and experiments with various technique ... Full text Cite

A Probabilistic Framework for Lifelong Test-Time Adaptation

Conference 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · June 2023 Full text Cite

A Probabilistic Framework for Lifelong Test-Time Adaptation

Preprint · December 19, 2022 Link to item Cite

Hypernetworks for Continual Semi-Supervised Learning

Preprint · October 5, 2021 Link to item Cite

Fine-Grained Emotion Prediction by Modeling Emotion Definitions

Conference 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) · September 28, 2021 Full text Cite

Deep Attentive Ranking Networks for Learning to Order Sentences

Journal Article Proceedings of the AAAI Conference on Artificial Intelligence · April 3, 2020 We present an attention-based ranking framework for learning to order sentences given a paragraph. Our framework is built on a bidirectional sentence encoder and a self-attention based transformer network to obtain an input order invariant represen ... Full text Cite

Meta-Learning for Generalized Zero-Shot Learning

Journal Article Proceedings of the AAAI Conference on Artificial Intelligence · April 3, 2020 Learning to classify unseen class samples at test time is popularly referred to as zero-shot learning (ZSL). If test samples can be from training (seen) as well as unseen classes, it is a more challenging problem due to the existence of strong bias ... Full text Cite

Deep Attentive Ranking Networks for Learning to Order Sentences

Preprint · December 31, 2019 Link to item Cite

A Meta-Learning Framework for Generalized Zero-Shot Learning

Preprint · September 10, 2019 Link to item Cite

An Integrated Approach for Identification of Functionally Similar MicroRNAs in Colorectal Cancer.

Journal Article IEEE/ACM transactions on computational biology and bioinformatics · January 2019 Colorectal cancer (CRC) is one of the most prevalent cancers around the globe. However, the molecular reasons for pathogenesis of CRC are still poorly understood. Recently, the role of microRNAs or miRNAs in the initiation and progression of CRC has been s ... Full text Cite