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Tutorials
EMNLP 2020 Tutorial on Interpreting Predictions of NLP Models
by Eric Wallace, Matt Gardner, Sameer Singh
(EMNLP 2020)
Talks
Are Models Biased on Text without Gender-related Language?
by Catarina Belem
(ICLR 2024)
How large language models work (and why that's why they don't)
by Sameer Singh
(IEEE Orange County Computer Society, SIGAI OC and the Los Angeles Chapter of the ACM)
Exposing Shortcomings and Improving Reliability of ML Explanations
by Dylan Slack
(Stanford MedAI)
Counterfactual Explanations Can Be Manipulated
by Dylan Slack
(NeurIPS 2021)
Reliable Post hoc Explanations Modeling Uncertainty in Explainability
by Dylan Slack
(NeurIPS 2021)
Fooling LIME and SHAP Adversarial Attacks on Post hoc Explanation Methods
by Dylan Slack
(Aggregate Intellect)
Evaluating and Testing Natural Language Processing Models
by Sameer Singh
(IndoML 2021)
Yasaman Razeghi and Sameer Singh - NLP benchmarks
by Yasaman Razeghi, Sameer Singh
(Machine Learning Street Talk)