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Talks/tutorials/panels/podcast for which I have slides or videos:
AI UK: Doing better in data science – from algorithmic fairness to diversity
Coded Bias Panel Discussion at the University of Maryland
Responsible AI Systems and Experiences
Tech Ethics in a Changing World
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems
The Meaning and Measurement of Bias: Lessons from NLP
(Meta-)Learning from Interaction
Out of Order! Flexible neural language generation
Beyond demonstrations: Learning behavior from higher-level supervision
Imitation Learning
Learning language through interaction
Bias in AI
Locally optimal learning to search and distant supervision
Imitation learning and recurrent neural networks mashup
Algorithms that learn to think on their feet
Interpretese vs Translationese
Advances in Structured Prediction
Hands-on Learning to Search for Joint Prediction
Algorithms that learn to think on their feet
A picture is worth 13.6 words (on average)
Domain adaptation: the problem of new labels
Efficiently programming efficient structured prediction
Algorithms that learn to think on their feet
Understanding and adapting statistical models: an exploration in language
Better! Faster! Stronger*! Learning to balance accuracy and efficiency when predicting linguistic structures
Domain Adaptation
Hierarchical Bayes Compiler credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous. last updated on two april, two thousand twenty four. |