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Hinge-Loss Markov Random Fields and Probabilistic Soft Logic

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic

17 May 2015
Stephen H. Bach
Matthias Broecheler
Bert Huang
Lise Getoor
    TPM
    AI4CE
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Papers citing "Hinge-Loss Markov Random Fields and Probabilistic Soft Logic"

50 / 118 papers shown
Title
Multimodal Perception for Goal-oriented Navigation: A Survey
Multimodal Perception for Goal-oriented Navigation: A Survey
I-Tak Ieong
Hao Tang
LM&Ro
LRM
29
0
0
22 Apr 2025
GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection
GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection
Xingyu Peng
Si Liu
Chen Gao
Yan Bai
Beipeng Mu
Xiaofei Wang
Huaxia Xia
62
0
0
26 Mar 2025
Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic
Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic
Monika Shah
Somdeb Sarkhel
Deepak Venugopal
MLLM
BDL
VLM
81
0
0
18 Mar 2025
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government
Tianliang Xu
Eva Maxfield Brown
Dustin Dwyer
Sabina Tomkins
34
0
0
14 Mar 2025
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
Shengming Zhang
Le Zhang
Jingbo Zhou
Hui Xiong
31
0
0
06 Jan 2025
Zero-shot Object Navigation with Vision-Language Models Reasoning
Zero-shot Object Navigation with Vision-Language Models Reasoning
Congcong Wen
Yisiyuan Huang
Hao Huang
Yanjia Huang
Shuaihang Yuan
Yu Hao
Hui Lin
Yu-Shen Liu
Yi Fang
LM&Ro
40
6
0
24 Oct 2024
You-Only-Randomize-Once: Shaping Statistical Properties in
  Constraint-based PCG
You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG
Jediah Katz
Bahar Bateni
Adam M. Smith
16
3
0
01 Sep 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural
  Probabilistic Soft Logic
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Connor Pryor
Quan Yuan
J. Liu
Mehran Kazemi
Deepak Ramachandran
Tania Bedrax-Weiss
Lise Getoor
24
1
0
26 Mar 2024
DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation
DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation
Chen Xu
Tian Lan
Changlong Yu
Wei Wang
Jun Gao
...
Qunxi Dong
Kun Qian
Piji Li
Wei Bi
Bin Hu
39
0
0
04 Mar 2024
Learning with Logical Constraints but without Shortcut Satisfaction
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li
Zehua Liu
Yuan Yao
Jingwei Xu
Taolue Chen
Xiaoxing Ma
Jian Lu
NAI
20
18
0
01 Mar 2024
Framing in the Presence of Supporting Data: A Case Study in U.S.
  Economic News
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
Alexandria Leto
Elliot Pickens
Coen D. Needell
David Rothschild
M. Pacheco
33
0
0
22 Feb 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and
  Learning
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens
Changyu Gao
Connor Pryor
Stephen J. Wright
Lise Getoor
24
3
0
17 Jan 2024
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood
  Mapping on Earth Imagery
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery
Zelin Xu
Tingsong Xiao
Wenchong He
Yu Wang
Zhe Jiang
14
6
0
12 Dec 2023
Advances in Embodied Navigation Using Large Language Models: A Survey
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin
Han Gao
Xuxiang Feng
Rongtao Xu
Changwei Wang
Man Zhang
Li Guo
Shibiao Xu
LM&Ro
LLMAG
56
9
0
01 Nov 2023
Distantly-Supervised Joint Extraction with Noise-Robust Learning
Distantly-Supervised Joint Extraction with Noise-Robust Learning
Yufei Li
Xiao Yu
Yanghong Guo
Yanchi Liu
Haifeng Chen
Cong Liu
NoLa
20
1
0
08 Oct 2023
Data Cleaning and Machine Learning: A Systematic Literature Review
Data Cleaning and Machine Learning: A Systematic Literature Review
Pierre-Olivier Coté
Amin Nikanjam
Nafisa Ahmed
D. Humeniuk
Foutse Khomh
25
20
0
03 Oct 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical
  Reasoning Capabilities of Language Models
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Man Luo
Shrinidhi Kumbhar
Ming shen
Mihir Parmar
Neeraj Varshney
Pratyay Banerjee
Somak Aditya
Chitta Baral
ReLM
ELM
LRM
37
23
0
02 Oct 2023
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic
  Constraints
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
Weidi Xu
Jingwei Wang
Lele Xie
Jianshan He
Hongting Zhou
Taifeng Wang
Xiaopei Wan
Jingdong Chen
Chao Qu
Wei Chu
22
1
0
27 Sep 2023
A Novel Neural-symbolic System under Statistical Relational Learning
A Novel Neural-symbolic System under Statistical Relational Learning
Dongran Yu
Xueyan Liu
Shirui Pan
Anchen Li
Bo Yang
AI4CE
NAI
9
1
0
16 Sep 2023
A Survey on Interpretable Cross-modal Reasoning
A Survey on Interpretable Cross-modal Reasoning
Dizhan Xue
Shengsheng Qian
Zuyi Zhou
Changsheng Xu
LRM
24
4
0
05 Sep 2023
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction
  Prediction
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction
Sheng-Nan Zhang
Yizhou Sun
14
0
0
25 Jun 2023
Parallel Neurosymbolic Integration with Concordia
Parallel Neurosymbolic Integration with Concordia
Jonathan Feldstein
Modestas Jurcius
Efthymia Tsamoura
NAI
18
1
0
01 Jun 2023
More than Classification: A Unified Framework for Event Temporal
  Relation Extraction
More than Classification: A Unified Framework for Event Temporal Relation Extraction
Quzhe Huang
Yutong Hu
Shengqi Zhu
Yansong Feng
Chang Liu
Dongyan Zhao
AI4TS
11
14
0
28 May 2023
Logical Entity Representation in Knowledge-Graphs for Differentiable
  Rule Learning
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han
Qizheng He
Charles Yu
Xinya Du
Hanghang Tong
Heng Ji
10
12
0
22 May 2023
Logic-LM: Empowering Large Language Models with Symbolic Solvers for
  Faithful Logical Reasoning
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Liangming Pan
Alon Albalak
Xinyi Wang
William Yang Wang
ReLM
LRM
AI4CE
15
230
0
20 May 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of
  Methods and Evaluation
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
Bjørnar Vassøy
H. Langseth
FaML
26
5
0
16 May 2023
Semantic Strengthening of Neuro-Symbolic Learning
Semantic Strengthening of Neuro-Symbolic Learning
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
9
12
0
28 Feb 2023
Extensions to Generalized Annotated Logic and an Equivalent Neural
  Architecture
Extensions to Generalized Annotated Logic and an Equivalent Neural Architecture
Paulo Shakarian
Gerardo I. Simari
NAI
27
4
0
23 Feb 2023
GLUECons: A Generic Benchmark for Learning Under Constraints
GLUECons: A Generic Benchmark for Learning Under Constraints
Hossein Rajaby Faghihi
Aliakbar Nafar
Chen Zheng
Roshanak Mirzaee
Yue Zhang
Andrzej Uszok
Alexander Wan
Tanawan Premsri
Dan Roth
Parisa Kordjamshidi
ELM
VLM
27
13
0
16 Feb 2023
Learning from Noisy Crowd Labels with Logics
Learning from Noisy Crowd Labels with Logics
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLa
NAI
6
6
0
13 Feb 2023
Principled and Efficient Motif Finding for Structure Learning of Lifted
  Graphical Models
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models
Jonathan Feldstein
Dominic Phillips
Efthymia Tsamoura
8
2
0
09 Feb 2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object
  Navigation
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
KAI-QING Zhou
Kai Zheng
Connor Pryor
Yilin Shen
Hongxia Jin
Lise Getoor
X. Wang
16
107
0
30 Jan 2023
Differentiable Fuzzy $\mathcal{ALC}$: A Neural-Symbolic Representation
  Language for Symbol Grounding
Differentiable Fuzzy ALC\mathcal{ALC}ALC: A Neural-Symbolic Representation Language for Symbol Grounding
Xuan Wu
Xinhao Zhu
Yizheng Zhao
Xinyu Dai
FedML
AI4CE
17
2
0
22 Nov 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule
  Reasoning
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Yuanlong Li
Gaopan Huang
Min Zhou
Chuan Fu
Honglin Qiao
Yan He
16
1
0
09 Nov 2022
Scalable Regularization of Scene Graph Generation Models using Symbolic
  Theories
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Davide Buffelli
Efthymia Tsamoura
8
2
0
06 Sep 2022
Emotion Recognition in Conversation using Probabilistic Soft Logic
Emotion Recognition in Conversation using Probabilistic Soft Logic
Eriq Augustine
Pegah Jandaghi
Alon Albalak
Connor Pryor
Charles Dickens
William Wang
Lise Getoor
10
0
0
14 Jul 2022
Constraint Guided Gradient Descent: Guided Training with Inequality
  Constraints
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
Quinten Van Baelen
P. Karsmakers
13
2
0
13 Jun 2022
Knowledge Enhanced Neural Networks for relational domains
Knowledge Enhanced Neural Networks for relational domains
Alessandro Daniele
Luciano Serafini
11
9
0
31 May 2022
NeuPSL: Neural Probabilistic Soft Logic
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
NAI
6
33
0
27 May 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
16
7
0
31 Dec 2021
A Survey on Neural-symbolic Learning Systems
A Survey on Neural-symbolic Learning Systems
Dongran Yu
Bo Yang
Da Liu
Hui Wang
Shirui Pan
19
53
0
10 Nov 2021
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural
  Networks
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
Nicholas Hoernle
Rafael-Michael Karampatsis
Vaishak Belle
Y. Gal
6
58
0
02 Nov 2021
DeepPSL: End-to-end perception and reasoning
DeepPSL: End-to-end perception and reasoning
Sridhar Dasaratha
Sai Akhil Puranam
Karmvir Singh Phogat
Sunil R. Tiyyagura
Nigel P. Duffy
BDL
ReLM
LRM
35
3
0
28 Sep 2021
Identifying Morality Frames in Political Tweets using Relational
  Learning
Identifying Morality Frames in Political Tweets using Relational Learning
Shamik Roy
Maria Leonor Pacheco
Dan Goldwasser
27
40
0
09 Sep 2021
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in
  Deep Learning
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
Hossein Rajaby Faghihi
Quan Guo
Andrzej Uszok
Aliakbar Nafar
Elaheh Raisi
Parisa Kordjamshidi
AI4CE
6
17
0
27 Aug 2021
Toward a `Standard Model' of Machine Learning
Toward a `Standard Model' of Machine Learning
Zhiting Hu
Eric P. Xing
18
12
0
17 Aug 2021
From LSAT: The Progress and Challenges of Complex Reasoning
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang
Zhongkun Liu
Wanjun Zhong
Ming Zhou
Zhongyu Wei
Zhumin Chen
Nan Duan
ELM
17
39
0
02 Aug 2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive
  Study
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
M. Grespan
Ashim Gupta
Vivek Srikumar
NAI
22
11
0
28 Jul 2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic
  Networks
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
Vijay Lingam
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
26
0
0
28 Jul 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Hang Jiang
Sairam Gurajada
Qiuhao Lu
S. Neelam
Lucian Popa
Prithviraj Sen
Yunyao Li
Alexander G. Gray
14
25
0
17 Jun 2021
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