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Probabilistic Reasoning via Deep Learning: Neural Association Models

Probabilistic Reasoning via Deep Learning: Neural Association Models

24 March 2016
Quan Liu
Hui Jiang
Andrew Evdokimov
Zhenhua Ling
Xiaodan Zhu
Si Wei
Yu Hu
    BDL
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Papers citing "Probabilistic Reasoning via Deep Learning: Neural Association Models"

17 / 17 papers shown
Title
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with
  Fast and Slow Reasoning and Filtered Rules
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules
Mohammad Hossein Khojasteh
Najmeh Torabian
Ali Farjami
Saeid Hosseini
B. Minaei-Bidgoli
LRM
30
0
0
21 Oct 2023
Experience and Prediction: A Metric of Hardness for a Novel Litmus Test
Experience and Prediction: A Metric of Hardness for a Novel Litmus Test
Nicos Isaak
Loizos Michael
46
3
0
05 Sep 2023
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph
  Completion
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
Jining Wang
Chuan Chen
Zibin Zheng
Yuren Zhou
33
1
0
17 Jun 2023
Self-Distillation with Meta Learning for Knowledge Graph Completion
Self-Distillation with Meta Learning for Knowledge Graph Completion
Yunshui Li
Junhao Liu
Chengming Li
Min Yang
29
5
0
20 May 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Feng Xia
Mehdi Naseriparsa
Francesco Osborne
27
242
0
24 Mar 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic,
  and Multimodal
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
K. Liang
Lingyuan Meng
Meng Liu
Yue Liu
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
Fu Sun
LRM
36
110
0
12 Dec 2022
Discover Important Paths in the Knowledge Graph Based on Dynamic
  Relation Confidence
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence
Shanqing Yu
Yijun Wu
Ran Gan
Jiajun Zhou
Ziwan Zheng
Qi Xuan
17
1
0
02 Nov 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
32
434
0
19 Jul 2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail
  Entities
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Baoxin Wang
Qingye Meng
Ziyue Wang
Honghong Zhao
Dayong Wu
Wanxiang Che
Shijin Wang
Zhigang Chen
Cong Liu
41
11
0
10 Feb 2022
Learning semantic Image attributes using Image recognition and knowledge
  graph embeddings
Learning semantic Image attributes using Image recognition and knowledge graph embeddings
Ashutosh Tiwari
Sandeep Varma
14
3
0
12 Sep 2020
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
Shuohang Wang
Sheng Zhang
Yelong Shen
Xiaodong Liu
Jingjing Liu
Jianfeng Gao
Jing Jiang
LRM
24
15
0
03 Apr 2019
A Knowledge Hunting Framework for Common Sense Reasoning
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami
Noelia De La Cruz
Adam Trischler
Kaheer Suleman
Jackie C.K. Cheung
LRM
17
39
0
02 Oct 2018
A Simple Method for Commonsense Reasoning
A Simple Method for Commonsense Reasoning
Trieu H. Trinh
Quoc V. Le
LRM
ReLM
39
432
0
07 Jun 2018
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo
Quan Wang
Lihong Wang
Bin Wang
Li Guo
32
218
0
30 Nov 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
32
472
0
16 May 2017
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun
  Disambiguation Problems in Winograd Schema Challenge
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge
Quan Liu
Hui Jiang
Zhenhua Ling
Xiao-Dan Zhu
Si Wei
Yu Hu
38
14
0
13 Nov 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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