ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.06340
  4. Cited By
Deep Learning Models to Study Sentence Comprehension in the Human Brain

Deep Learning Models to Study Sentence Comprehension in the Human Brain

16 January 2023
S. Arana
Jacques Pesnot Lerousseau
P. Hagoort
ArXivPDFHTML

Papers citing "Deep Learning Models to Study Sentence Comprehension in the Human Brain"

23 / 23 papers shown
Title
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
62
123
0
08 Dec 2023
Toward a realistic model of speech processing in the brain with
  self-supervised learning
Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette Millet
Charlotte Caucheteux
Pierre Orhan
Yves Boubenec
Alexandre Gramfort
Ewan Dunbar
Christophe Pallier
J. King
64
97
0
03 Jun 2022
Relating transformers to models and neural representations of the
  hippocampal formation
Relating transformers to models and neural representations of the hippocampal formation
James C. R. Whittington
Joseph Warren
Timothy Edward John Behrens
89
82
0
07 Dec 2021
Low-Dimensional Structure in the Space of Language Representations is
  Reflected in Brain Responses
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello
Javier S. Turek
Vy A. Vo
Alexander G. Huth
55
41
0
09 Jun 2021
Disentangling Syntax and Semantics in the Brain with Deep Networks
Disentangling Syntax and Semantics in the Brain with Deep Networks
Charlotte Caucheteux
Alexandre Gramfort
J. King
93
72
0
02 Mar 2021
Inductive biases, pretraining and fine-tuning jointly account for brain
  responses to speech
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Juliette Millet
J. King
96
34
0
25 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
391
4,941
0
24 Feb 2021
Emergence of Separable Manifolds in Deep Language Representations
Emergence of Separable Manifolds in Deep Language Representations
Jonathan Mamou
Hang Le
Miguel Angel del Rio
Cory Stephenson
Hanlin Tang
Yoon Kim
SueYeon Chung
AAML
AI4CE
65
38
0
01 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
743
41,894
0
28 May 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT works
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
84
1,496
0
27 Feb 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent
  ANNs
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
J. Kubilius
Martin Schrimpf
Kohitij Kar
Ha Hong
N. Majaj
...
Kailyn Schmidt
Aran Nayebi
Daniel M. Bear
Daniel L. K. Yamins
J. DiCarlo
92
259
0
13 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,193
0
27 Aug 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
215
1,594
0
11 Jun 2019
Visualizing and Measuring the Geometry of BERT
Visualizing and Measuring the Geometry of BERT
Andy Coenen
Emily Reif
Ann Yuan
Been Kim
Adam Pearce
F. Viégas
Martin Wattenberg
MILM
78
417
0
06 Jun 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILM
AI4CE
64
226
0
28 May 2019
BERT Rediscovers the Classical NLP Pipeline
BERT Rediscovers the Classical NLP Pipeline
Ian Tenney
Dipanjan Das
Ellie Pavlick
MILM
SSeg
133
1,471
0
15 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
Deep RNNs Encode Soft Hierarchical Syntax
Deep RNNs Encode Soft Hierarchical Syntax
Terra Blevins
Omer Levy
Luke Zettlemoyer
67
111
0
11 May 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
Bridging LSTM Architecture and the Neural Dynamics during Reading
Bridging LSTM Architecture and the Neural Dynamics during Reading
Peng Qian
Xipeng Qiu
Xuanjing Huang
34
19
0
22 Apr 2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh
Oriol Vinyals
B. Strope
Scott Roy
Tom Dean
Larry Heck
47
12
0
19 Feb 2016
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
90
1,131
0
02 Oct 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
665
31,489
0
16 Jan 2013
1