ResearchTrend.AI
Discrete and continuous representations and processing in deep learning: Looking forward

Discrete and continuous representations and processing in deep learning: Looking forward

Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
    OCL
ArXivPDFHTML

Papers citing "Discrete and continuous representations and processing in deep learning: Looking forward"

7 / 7 papers shown
Title
Towards Equipping Transformer with the Ability of Systematic Compositionality
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
27
1
0
12 Dec 2023
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton
Aparna Nayak
Bojan Bozic
Luca Longo
NAI
29
57
0
24 Feb 2022
Do Transformers know symbolic rules, and would we know if they did?
Do Transformers know symbolic rules, and would we know if they did?
Tommi Gröndahl
Yu-Wen Guo
Nirmal Asokan
25
0
0
19 Feb 2022
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
30
95
0
04 Mar 2020
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
242
31,257
0
16 Jan 2013