The Thesis Review

The Thesis Review

Por: Sean Welleck
Each episode of The Thesis Review is a conversation centered around a researcher's PhD thesis, giving insight into their history, revisiting older ideas, and providing a valuable perspective on how their research has evolved (or stayed the same) since.
49 episodios disponibles

Latest episodes of the podcast The Thesis Review

[48] Tianqi Chen - Scalable and Intelligent Learning Systems 28/10/2024
[47] Niloofar Mireshghallah - Auditing and Mitigating Safety Risks in Large Language Models 15/10/2024
[46] Yulia Tsvetkov - Linguistic Knowledge in Data-Driven NLP 12/08/2023
[45] Luke Zettlemoyer - Learning to Map Sentences to Logical Form 25/07/2023
[44] Hady Elsahar - NLG from Structured Knowledge Bases (& Controlling LMs) 23/08/2022
[43] Swarat Chaudhuri - Logics and Algorithms for Software Model Checking 28/06/2022
[42] Charles Sutton - Efficient Training Methods for Conditional Random Fields 19/04/2022
[41] Talia Ringer - Proof Repair 30/03/2022
[40] Lisa Lee - Learning Embodied Agents with Scalably-Supervised RL 09/03/2022
[39] Burr Settles - Curious Machines: Active Learning with Structured Instances 02/02/2022
[38] Andrew Lampinen - A Computational Framework for Learning and Transforming Task Representations 08/01/2022
[37] Joonkoo Park - Neural Substrates of Visual Word and Number Processing 21/12/2021
[36] Dieuwke Hupkes - Hierarchy and Interpretability in Neural Models of Language Processing 30/11/2021
[35] Armando Solar-Lezama - Program Synthesis by Sketching 06/11/2021
[34] Sasha Rush - Lagrangian Relaxation for Natural Language Decoding 20/10/2021
[33] Michael R. Douglas - G/H Conformal Field Theory 01/10/2021
[32] Andre Martins - The Geometry of Constrained Structured Prediction 16/09/2021
[31] Jay McClelland - Preliminary Letter Identification in the Perception of Words and Nonwords 29/08/2021
[30] Dustin Tran - Probabilistic Programming for Deep Learning 14/08/2021
[29] Tengyu Ma - Non-convex Optimization for Machine Learning 01/08/2021
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