Papers by Atula Neerkaje
A Risk-Averse Mechanism for Suicidality Assessment on Social Media (2022.acl-short)
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| Challenge: | Social media has become a platform for users to express suicidal thoughts outside traditional clinical settings. |
| Approach: | They propose a risk-averse hierarchical attention classifier that refrains from making uncertain predictions on real-world Reddit data. |
| Outcome: | The proposed system can refrain from 83% of incorrect predictions on real-world Reddit data. |
The Impact of Differential Privacy on Group Disparity Mitigation (2024.findings-naacl)
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| Challenge: | a recent study evaluated the impact of differential privacy on fairness across four tasks. |
| Approach: | They evaluate the impact of differential privacy on fairness across four diverse tasks . they train (,)-differentially private models with empirical risk minimization . |
| Outcome: | The proposed model shows that differential privacy increases performance differences between groups . the model also reduces performance differences in the robust setting . |
Tweet Based Reach Aware Temporal Attention Network for NFT Valuation (2022.findings-emnlp)
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Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava
| Challenge: | Non-Fungible Tokens (NFTs) are a relatively unexplored class of assets due to their extremely volatile nature. |
| Approach: | They propose a reach-aware temporal learning approach to predict future NFT trends from a dataset consisting of over 1.3 million tweets and 180 thousand NFT transactions . |
| Outcome: | The proposed model outperforms state-of-the-art models by an average of 36% on a dataset consisting of over 1.3 million tweets and 180 thousand NFT transactions spanning over 15 NFT collections. |