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CATEGORIES:NLIP Seminar Series
SUMMARY:Integrating Combinatorial Solvers and Neural Model
 s - Pasquale Minervi\, University of Edinburgh
DTSTART;TZID=Europe/London:20240223T120000
DTEND;TZID=Europe/London:20240223T130000
UID:TALK211501AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/211501
DESCRIPTION:Neural models -- including language models such as
  ChatGPT -- can exhibit remarkable abilities\; par
 adoxically\, they also struggle with algorithmic t
 asks where much simpler models excel. To solve the
 se issues\, we propose Implicit Maximum Likelihood
  Estimation (IMLE)\, a framework for end-to-end le
 arning of models combining algorithmic combinatori
 al solvers and differentiable neural components\, 
 which allows us to incorporate planning and reason
 ing algorithms in neural architectures by just add
 ing a simple decorator [1\, 2].\n\n[1] Implicit ML
 E: Backpropagating Through Discrete Exponential Fa
 mily Distributions. https://arxiv.org/abs/2106.017
 98\, NeurIPS 2021\n[2] Adaptive Perturbation-Based
  Gradient Estimation for Discrete Latent Variable 
 Models. https://arxiv.org/abs/2209.04862\, AAAI 20
 23\n\nJoin Zoom Meeting\n\nhttps://cam-ac-uk.zoom.
 us/j/86071371348?pwd=OVlqdDhZNHlGbzV5RUZrSzM1cUlhU
 T09\n\n \n\nMeeting ID: 860 7137 1348\n\nPasscode:
  387918\n\n \n
LOCATION:https://cam-ac-uk.zoom.us/j/86071371348?pwd=OVlqdD
 hZNHlGbzV5RUZrSzM1cUlhUT09
CONTACT:Richard Diehl Martinez
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