Ekagra ranjan
[email protected] Methodology Overview Instead of directly extracting features from Statement, we employ an attention mechanism to use the given side infor- WebThe latest tweets from @EkagraRanjan
Ekagra ranjan
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WebE Ranjan, S Sanyal, P Talukdar. Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5470-5477. , 2024. 154. 2024. Jointly learning convolutional … WebEkagra Ranjan*, Soumava Paul*, Siddharth Kapoor, Aupendu Kar, R. Sethuraman, Debdoot Sheet ICVGIP 2024 (Oral Accept Rate: <10% ) Paper Slides Code Auto …
WebEkagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, and Debdoot Sheet. 2024. Jointly Learning Convolutional Rep- WebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright ...
WebSoumya Sanyal. I am a Ph.D. Candidate at the INK Lab, University of Southern California, working with Prof. Xiang Ren. Previously, I was a research assistant at the MALL Lab, Indian Institue of Science hosted by Prof. Partha Talukdar. Before IISc, I was a Senior Analyst at the Equities Risk Management team of Goldman Sachs, India. WebFake News Detection by Learning Convolution Filters through Contextualized Attention Dataset. The LIAR dataset consists of 12,836 short statements taken from POLITIFACT …
WebDec 18, 2024 · ICVGIP 2024, Dec 18-22, 2024, Hyderabad, India E. Ranjan, et al. there is a significant performance boost on using a more representa- tive random split instead of the official train-test split.
Webekagra-ranjan/AE-CNN. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. master. Switch branches/tags. Branches … bones r usWebFeb 6, 2024 · IIT Guwahati: DUBG (Pavan Kumar, Ekagra Ranjan, Vivek Raj) “DisasterUnknown’s Battleground (DUBG) is a mixed reality app for efficient post-disaster management. During rescue operations, time ... gobaith cicWebIn this paper, we present liar: a new, publicly available dataset for fake news detection. We collected a decade-long, 12.8K manually labeled short statements in various contexts from PolitiFact.com, which provides detailed analysis report and links to source documents for each case. This dataset can be used for fact-checking research as well. gobalatlanticcom/professionalsbones s03e04WebEkagra Ranjan; Soumya Sanyal; Partha Talukdar: 2024: Abstract Interpretation of Decision Tree Ensemble Classifiers: Francesco Ranzato; Marco Zanella: 2024: Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains: bones s04e20WebEdit social preview. Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts. Wang (2024) introduced a large dataset of validated claims from the POLITIFACT.com website (LIAR dataset), enabling the development of machine learning approaches for fact-checking. However, approaches based on ... gobake fairy dustWebApr 12, 2024 · Architecture of the proposed adaptive gated graph convolutional network. Node features are defined as power spectral density from 1 to 45 Hz. The node features are then used as input to the graph ... gobald textiles private limited