Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
projects
Exploring Diffusion Models with JAX
Explores the mathematics and code of discrete diffusion models, assessing their effectiveness, applicability, and limitations. (Jun 2022)
Review Classification using Active Learning, Keras.io
Demonstrates the effectiveness of active learning in text classification tasks by implementing a ratio- based sampling approach, improving performance and suitability for industrial applications. (Oct 2021)
The Reality Behind the Optimization of Imaginary Variables - I, Weights & Biases
Examines how complex-valued neural networks enhance representations by experimenting with traditional mappings and more efficient complex vector techniques. (Jun 2021)
The Reality Behind the Optimization of Imaginary Variables - II, Weights & Biases
Explores circularity and holomorphicity constraints in complex-valued neural networks, showcasing the effectiveness of linear and widely linear networks for image-denoising. (Oct 2021)
MelGAN based Spectrogram Inversion using Feature Matching, Keras.io
Showcases a non-autoregressive model for spectral inversion utilizing a feature-matching discriminator, highlighting fast inference on dynamic inputs. (Sep 2021)
publications
Robust and explainable identification of logical fallacies in natural language arguments
Published in Knowledge Based Systems, 2023
This paper formalizes prior theoretical work on logical fallacies into a comprehensive three-stage evaluation framework of detection, coarse- grained, and fine-grained classification, and employs three families of robust and explainable methods based on prototype reasoning, instance-based reasoning, and knowledge injection.
Recommended citation: Sourati, Z., Venkatesh, V. P. P., Deshpande, D., Rawlani, H., Ilievski, F., Sandlin, H., & Mermoud, A. (2023). Robust and explainable identification of logical fallacies in natural language arguments. Knowledge-Based Systems, 266, 110418. https://doi.org/10.1016/j.knosys.2023.110418 https://www.sciencedirect.com/science/article/pii/S0950705123001685
Robust Text Classification: Analyzing Prototype-Based Networks
Published in arXiv, 2023
A modular and comprehensive framework for studying Prototype Based Networks (PBNs), which includes different backbone architectures, backbone sizes, and objective functions is designed, which shows that the robustness of PBNs transfers to NLP classification tasks facing realistic perturbations.
Recommended citation: Sourati, Z., Deshpande, D., Ilievski, F., Gashteovski, K., & Saralajew, S. (2023). Robust Text Classification: Analyzing Prototype-Based Networks. ArXiv, abs/2311.06647. https://arxiv.org/abs/2311.06647
Contextualizing Argument Quality Assessment with Relevant Knowledge
Published in NAACL-2024, 2024
This work proposes SPARK: a novel method for scoring argument quality based on contextualization via relevant knowledge, and devise four augmentations that leverage large language models to provide feedback, infer hidden assumptions, supply a similar-quality argument, or a counterargument.
Recommended citation: Deshpande, D., Sourati, Z., Ilievski, F., & Morstatter, F. (2023). Contextualizing Argument Quality Assessment with Relevant Knowledge. ArXiv, abs/2305.12280. https://arxiv.org/abs/2305.12280
talks
Diffusing Away from GANs and Transformers
Published:
Discussing the hype surrounding diffusion models and exploring their effectiveness, applicability, and drawbacks. [slides]