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Experiments with truth using Machine Learning: Spectral analysis and
  explainable classification of synthetic, false, and genuine information

Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information

7 July 2024
Vishnu S Pendyala
Madhulika Dutta
ArXiv (abs)PDFHTML

Papers citing "Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information"

14 / 14 papers shown
Title
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Hui Liu
Wenya Wang
Haoliang Li
68
24
0
10 May 2023
Explainable Misinformation Detection Across Multiple Social Media
  Platforms
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
83
17
0
20 Mar 2022
DISCO: Comprehensive and Explainable Disinformation Detection
DISCO: Comprehensive and Explainable Disinformation Detection
Dongqi Fu
Yikun Ban
Hanghang Tong
Ross Maciejewski
Jingrui He
69
23
0
09 Mar 2022
Captum: A unified and generic model interpretability library for PyTorch
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan
Vivek Miglani
Miguel Martin
Edward Wang
B. Alsallakh
...
Alexander Melnikov
Natalia Kliushkina
Carlos Araya
Siqi Yan
Orion Reblitz-Richardson
FAtt
159
853
0
16 Sep 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,332
0
27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
703
24,572
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
Efficient Vector Representation for Documents through Corruption
Efficient Vector Representation for Documents through Corruption
Minmin Chen
93
118
0
08 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,135
0
22 May 2017
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News
  Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
William Yang Wang
HILMGNN
115
1,367
0
01 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
211
6,027
0
04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,092
0
16 Feb 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
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