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11/23/2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Individual rationality, which involves maximizing expected individual re...
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10/06/2020
Unsupervised Hierarchical Concept Learning
Discovering concepts (or temporal abstractions) in an unsupervised manne...
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09/03/2020
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Training a classification model on a dataset where the instances of one ...
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09/03/2020
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback
The ability to efficiently search for images over an indexed database is...
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01/15/2020
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
With the ever-increasing cases of hate spread on social media platforms,...
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01/15/2020
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
Social dilemma situations bring out the conflict between individual and ...
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01/15/2020
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
In social dilemma situations, individual rationality leads to sub-optima...
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10/10/2019
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Sexism, an injustice that subjects women and girls to enormous suffering...
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08/29/2018
Attention-based Neural Text Segmentation
Text segmentation plays an important role in various Natural Language Pr...
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06/01/2017