Parag Singla
36 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (11) π§ Keyword Pioneer π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(65)
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Keyword Champion
π€
Dynamic Duo
(12)
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Trend Setter
β‘
Prolific Year
(6)
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Century Club
(35)
ποΈ
Keyword Collector
(120)
π₯
Unstoppable
(7)
Conferences
NIPS (7)
ACL (5)
AISTATS (4)
EMNLP (4)
IJCAI (4)
UAI (4)
ICLR (3)
CVPR (2)
ECCV (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
lifted inference
(8)
map inference
(7)
markov logic network
(7)
first-order logic
(3)
latent space
(3)
probabilistic graphical model
(3)
relational mdp
(2)
probabilistic modeling
(2)
graph neural network
(2)
low-resource language
(2)
generative model
(2)
explanation generation
(2)
knowledge graph completion
(2)
symmetry detection
(2)
natural language inference
(2)
zero-shot learning
(2)
cross-lingual transfer
(2)
question answering
(2)
in-context learning
(2)
neural network
(2)
Papers
Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction
ACL 2026
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
CVPR 2025
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
EMNLP 2024
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
ACL 2024
Towards Scene Graph Anticipation
ECCV 2024
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters
EMNLP 2023
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs
UAI 2023
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
ACL 2023
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
ICLR 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
AISTATS 2023
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
EMNLP 2023
Neural Models for Output-Space Invariance in Combinatorial Problems
ICLR 2022
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction
ACL 2022
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs
UAI 2022
A Solver-free Framework for Scalable Learning in Neural ILP Architectures
NIPS 2022
Explanations for CommonsenseQA: New Dataset and Models
ACL 2021
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
ICLR 2021
FlexAE: flexibly learning latent priors for wasserstein auto-encoders
UAI 2021
Explanations for CommonsenseQA: New Dataset and Models
IJCNLP 2021
Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task
EMNLP 2020
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
UAI 2020
Domain-Size Aware Markov Logic Networks
AISTATS 2019
A Primal Dual Formulation For Deep Learning With Constraints
NIPS 2019
Coarse-to-Fine Lifted MAP Inference in Computer Vision
IJCAI 2017
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
AISTATS 2017
Min Norm Point Algorithm for Higher Order MRF-MAP Inference
CVPR 2016
Unsupervised Alignment of Actions in Video with Text Descriptions
IJCAI 2016
Contextual Symmetries in Probabilistic Graphical Models
IJCAI 2016
Entity-balanced Gaussian pLSA for Automated Comparison
NAACL 2016
Lifted Symmetry Detection and Breaking for MAP Inference
NIPS 2015
Fast Lifted MAP Inference via Partitioning
NIPS 2015
Lifted Inference Rules With Constraints
NIPS 2015
ASAP-UCT: Abstraction of State-Action Pairs in UCT
IJCAI 2015
New Rules for Domain Independent Lifted MAP Inference
NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
NIPS 2014
Lifted MAP Inference for Markov Logic Networks
AISTATS 2014