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researcher

Tom Le Paine

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.SD1

identity via Semantic Scholar / OpenAlex

most citedFast Wavenet Generation Algorithm

29 citations · 33 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 18 cited

Reinforced Self-Training (ReST) for Language Modeling

Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan +11

Reinforcement learning from human feedback (RLHF) can improve the quality of large language model's (LLM) outputs by aligning them with human preferences. We propose a simple algor…

cs.LG2023★ 5 cited

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan +21

StarCraft II is one of the most challenging simulated reinforcement learning environments; it is partially observable, stochastic, multi-agent, and mastering StarCraft II requires…

cs.SD2016★ 29 cited

Fast Wavenet Generation Algorithm

Tom Le Paine, Pooya Khorrami, Shiyu Chang +4

This paper presents an efficient implementation of the Wavenet generation process called Fast Wavenet. Compared to a naive implementation that has complexity O(2^L) (L denotes the…

cs.CV2014★ 4 cited

An Analysis of Unsupervised Pre-training in Light of Recent Advances

Tom Le Paine, Pooya Khorrami, Wei Han +1

Convolutional neural networks perform well on object recognition because of a number of recent advances: rectified linear units (ReLUs), data augmentation, dropout, and large label…

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