◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Hugh Perkins

4 papers hereh-index 5215 citations11 works total

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

author position
  • sole author3
  • first author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedCompositionality Through Language Transmission, using Artificial Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2021

TexRel: a Green Family of Datasets for Emergent Communications on Relations

Hugh Perkins

We propose a new dataset TexRel as a playground for the study of emergent communications, in particular for relations. By comparison with other relations datasets, TexRel provides…

cs.CL2021★ 1 cited

Compositionality Through Language Transmission, using Artificial Neural Networks

Hugh Perkins

We propose an architecture and process for using the Iterated Learning Model ("ILM") for artificial neural networks. We show that ILM does not lead to the same clear compositionali…

cs.CL2019

Dialog Intent Induction with Deep Multi-View Clustering

Hugh Perkins, Yi Yang

We introduce the dialog intent induction task and present a novel deep multi-view clustering approach to tackle the problem. Dialog intent induction aims at discovering user intent…

cs.NE2016

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

Hugh Perkins

This paper presents cltorch, a hardware-agnostic backend for the Torch neural network framework. cltorch enables training of deep neural networks on GPUs from diverse hardware vend…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.