| A unified approach to quantifying algorithmic unfairness: Measuring individual &group unfairness via inequality indices T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 335 | 2018 |
| Potential for discrimination in online targeted advertising T Speicher, M Ali, G Venkatadri, FN Ribeiro, G Arvanitakis, F Benevenuto, ... Conference on fairness, accountability and transparency, 5-19, 2018 | 253 | 2018 |
| A generalized language model as the combination of skipped n-grams and modified Kneser-Ney smoothing R Pickhardt, T Gottron, M Körner, PG Wagner, T Speicher, S Staab arXiv preprint arXiv:1404.3377, 2014 | 37 | 2014 |
| Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller ACM, New York, 2018 | 9 | 2018 |
| Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction Q Wu, MA Khan, S Das, V Nanda, B Ghosh, C Kolling, T Speicher, ... arXiv preprint arXiv:2404.12957, 2024 | 4 | 2024 |
| Measuring representational robustness of neural networks through shared invariances V Nanda, T Speicher, C Kolling, JP Dickerson, K Gummadi, A Weller International Conference on Machine Learning, 16368-16382, 2022 | 3 | 2022 |
| Diffused redundancy in pre-trained representations V Nanda, T Speicher, J Dickerson, K Gummadi, S Feizi, A Weller Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Understanding the mechanics and dynamics of memorisation in large language models: A case study with random strings T Speicher, AM Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ... | 1 | 2024 |
| Unifying Model Explainability and Robustness via Machine-Checkable Concepts V Nanda, T Speicher, JP Dickerson, KP Gummadi, MB Zafar arXiv preprint arXiv:2007.00251, 2020 | 1 | 2020 |
| Reliable learning by subsuming a trusted model: Safe exploration of the space of complex models T Speicher, MB Zafar, KP Gummadi, A Singla, A Weller Proc. Int. Conf. Mach. Learn. Workshop (ICML), 1-5, 2017 | 1 | 2017 |
| Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications T Speicher, MA Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ... arXiv preprint arXiv:2407.19262, 2024 | | 2024 |
| Understanding the Role of Invariance in Transfer Learning T Speicher, V Nanda, KP Gummadi arXiv preprint arXiv:2407.04325, 2024 | | 2024 |
| Pointwise Representational Similarity C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi arXiv preprint arXiv:2305.19294, 2023 | | 2023 |
| Exploring Pointwise Similarity of Representations C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi | | |
| Learned Neural Network Representations are Spread Diffusely with Redundancy V Nanda, T Speicher, JP Dickerson, S Feizi, K Gummadi, A Weller | | |
| Invariance Makes a Difference: Disentangling the Role of Invariance and Equivariance in Representations T Speicher, V Nanda, KP Gummadi | | |
