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Neural Module Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot
Finding structure in time
inferredcites →https://doi.org/10.1073/pnas.1422953112openalex-snapshot
Visual Turing test for computer vision systems
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.1997.609370openalex-snapshot
Global training of document processing systems using graph transformer networks
inferredcites →https://doi.org/10.1109/cvpr.2014.455openalex-snapshot
What Are You Talking About? Text-to-Image Coreference
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot
Long-term recurrent convolutional networks for visual recognition and description
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/cvpr.2016.493openalex-snapshot
Natural Language Object Retrieval
inferredcites →https://doi.org/10.1109/iccv.2015.283openalex-snapshot
Visual Madlibs: Fill in the Blank Description Generation and Question Answering
inferredcites →https://doi.org/10.1109/iccv.2015.303openalex-snapshot
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
inferredcites →https://doi.org/10.1109/iccv.2015.9openalex-snapshot
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images
inferredcites →https://doi.org/10.1162/coli_a_00127openalex-snapshot
Learning Dependency-Based Compositional Semantics
inferredcites →https://doi.org/10.1162/tacl_a_00220openalex-snapshot
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World
inferredcites →https://doi.org/10.13016/m2ehu6-1m90openalex-snapshot
A Joint Model of Language and Perception for Grounded Attribute Learning
inferredcites →https://doi.org/10.1609/aaai.v30i1.10014openalex-snapshot
Reuse of Neural Modules for General Video Game Playing
inferredcites →https://doi.org/10.1609/aaai.v30i1.10442openalex-snapshot
Learning to Answer Questions from Image Using Convolutional Neural Network
inferredcites →https://doi.org/10.18653/v1/d13-1197openalex-snapshot
Learning Distributions over Logical Forms for Referring Expression Generation
inferredcites →https://doi.org/10.18653/v1/n16-1181openalex-snapshot
Learning to Compose Neural Networks for Question Answering
inferredcites →https://doi.org/10.21236/ada273556openalex-snapshot
Building a Large Annotated Corpus of English: The Penn Treebank
inferredcites →https://doi.org/10.3115/1075096.1075150openalex-snapshot
Accurate unlexicalized parsing
inferredcites →https://doi.org/10.3115/1608858.1608859openalex-snapshot
The Stanford typed dependencies representation
inferredcites →https://doi.org/10.3115/v1/d14-1070openalex-snapshot
A Neural Network for Factoid Question Answering over Paragraphs
inferredcites →https://doi.org/10.3115/v1/w14-1607openalex-snapshot
Grounding Language with Points and Paths in Continuous Spaces
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.4230/lipics.cosit.2026.6openalex-snapshot
On Spatial Reasoning and Perspective Transformation in Language Models
inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot
ADADELTA: An Adaptive Learning Rate Method
inferredcites →https://doi.org/10.48550/arxiv.1406.5679openalex-snapshot
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
inferredcites →https://doi.org/10.48550/arxiv.1410.0210openalex-snapshot
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
inferredcites →https://doi.org/10.48550/arxiv.1505.02074openalex-snapshot
Exploring Models and Data for Image Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1505.05612openalex-snapshot
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1506.00278openalex-snapshot
Visual Madlibs: Fill in the blank Image Generation and Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1511.08228openalex-snapshot
Neural GPUs Learn Algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aaai.12065openalex-snapshot
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
inferred← citeshttps://doi.org/10.1002/ail2.39openalex-snapshot
Explainable neural computation via stack neural module networks
inferred← citeshttps://doi.org/10.1002/ail2.48openalex-snapshot
Neural response time analysis: Explainable artificial intelligence using only a stopwatch
inferred← citeshttps://doi.org/10.1007/978-3-030-00764-5_69openalex-snapshot
Text-Guided Dual-Branch Attention Network for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-00825-3_18openalex-snapshot
Evaluation of Multiple Approaches for Visual Question Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-030-01219-9_34openalex-snapshot
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-01234-2_4openalex-snapshot
Explainable Neural Computation via Stack Neural Module Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-01237-3_28openalex-snapshot
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-01246-5_1openalex-snapshot
Convolutional Networks with Adaptive Inference Graphs
inferred← citeshttps://doi.org/10.1007/978-3-030-01246-5_29openalex-snapshot
Question-Guided Hybrid Convolution for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-01246-5_40openalex-snapshot
Neural Graph Matching Networks for Fewshot 3D Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-01258-8_2openalex-snapshot
Deep Attention Neural Tensor Network for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-01264-9_10openalex-snapshot
Modular Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-01264-9_15openalex-snapshot
Compositional Learning for Human Object Interaction
inferred← citeshttps://doi.org/10.1007/978-3-030-01267-0_10openalex-snapshot
Visual Coreference Resolution in Visual Dialog Using Neural Module Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-11015-4_5openalex-snapshot
DesIGN: Design Inspiration from Generative Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-11018-5_14openalex-snapshot
Knowing When to Look for What and Where: Evaluating Generation of Spatial Descriptions with Adaptive Attention
inferred← citeshttps://doi.org/10.1007/978-3-030-27532-7_27openalex-snapshot
Semantic Situation Extraction from Satellite Image Based on Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-31654-9_40openalex-snapshot
Semantic Reanalysis of Scene Words in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-31723-2_35openalex-snapshot
One-Shot Video Object Segmentation Initialized with Referring Expression
inferred← citeshttps://doi.org/10.1007/978-3-030-31723-2_56openalex-snapshot
Multi-modal Feature Fusion Based on Variational Autoencoder for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-31978-6_12openalex-snapshot
Visual Rationalizations in Deep Reinforcement Learning for Atari Games
inferred← citeshttps://doi.org/10.1007/978-3-030-33676-9_30openalex-snapshot
DynGraph: Visual Question Answering via Dynamic Scene Graphs
inferred← citeshttps://doi.org/10.1007/978-3-030-55393-7_29openalex-snapshot
Document-Improved Hierarchical Modular Attention for Event Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-58452-8_25openalex-snapshot
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes
inferred← citeshttps://doi.org/10.1007/978-3-030-58529-7_26openalex-snapshot
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-58529-7_32openalex-snapshot
Graph Edit Distance Reward: Learning to Edit Scene Graph
inferred← citeshttps://doi.org/10.1007/978-3-030-58536-5_9openalex-snapshot
A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-58545-7_32openalex-snapshot
Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision
inferred← citeshttps://doi.org/10.1007/978-3-030-58555-6_21openalex-snapshot
Learning to Compose Hypercolumns for Visual Correspondence
inferred← citeshttps://doi.org/10.1007/978-3-030-58589-1_25openalex-snapshot
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-58598-3_28openalex-snapshot
REMIND Your Neural Network to Prevent Catastrophic Forgetting
inferred← citeshttps://doi.org/10.1007/978-3-030-60636-7_8openalex-snapshot
Interpretable Neural Computation for Real-World Compositional Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-69535-4_34openalex-snapshot
Graph-Based Heuristic Search for Module Selection Procedure in Neural Module Network
inferred← citeshttps://doi.org/10.1007/978-3-030-69535-4_44openalex-snapshot
V2A - Vision to Action: Learning Robotic Arm Actions Based on Vision and Language
inferred← citeshttps://doi.org/10.1007/978-3-030-69544-6_38openalex-snapshot
A Benchmark and Baseline for Language-Driven Image Editing
inferred← citeshttps://doi.org/10.1007/978-3-030-69544-6_9openalex-snapshot
Modular Graph Attention Network for Complex Visual Relational Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-030-71151-1_43openalex-snapshot
Composing Pick-and-Place Tasks by Grounding Language
inferred← citeshttps://doi.org/10.1007/978-3-030-84186-7_15openalex-snapshot
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-88132-0_4openalex-snapshot
Meta-Learning for Multimedia
inferred← citeshttps://doi.org/10.1007/978-3-030-88361-4_7openalex-snapshot
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-030-89188-6_13openalex-snapshot
A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning
inferred← citeshttps://doi.org/10.1007/978-3-031-04083-2_12openalex-snapshot
Interpreting and Improving Deep-Learning Models with Reality Checks
inferred← citeshttps://doi.org/10.1007/978-3-031-10986-7_54openalex-snapshot
Multi-Attention Relation Network for Figure Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-031-15931-2_11openalex-snapshot
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-20059-5_25openalex-snapshot
New Datasets and Models for Contextual Reasoning in Visual Dialog
inferred← citeshttps://doi.org/10.1007/978-3-031-24340-0_42openalex-snapshot
EAGLE: An Enhanced Attention-Based Strategy by Generating Answers from Learning Questions to a Remote Sensing Image
inferred← citeshttps://doi.org/10.1007/978-3-031-33469-6_20openalex-snapshot
A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-031-37963-5_40openalex-snapshot
Modularity in Deep Learning: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-031-39179-8_11openalex-snapshot
Neuro Symbolic Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-70341-6_26openalex-snapshot
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images
inferred← citeshttps://doi.org/10.1007/978-3-031-72643-9_11openalex-snapshot
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-031-72775-7_1openalex-snapshot
Recursive Visual Programming
inferred← citeshttps://doi.org/10.1007/978-3-031-72920-1_18openalex-snapshot
Video Question Answering with Procedural Programs
inferred← citeshttps://doi.org/10.1007/978-3-031-72998-0_20openalex-snapshot
Multi-modal Video Dialog State Tracking in the Wild
inferred← citeshttps://doi.org/10.1007/978-3-031-73414-4_27openalex-snapshot
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
inferred← citeshttps://doi.org/10.1007/978-3-031-80607-0_18openalex-snapshot
Combined Text-Visual Attention Models for Robot Task Learning and Execution
inferred← citeshttps://doi.org/10.1007/978-3-031-81342-9_21openalex-snapshot
Enhancing Visual Question Answering with Beam Search in Transformer Models
inferred← citeshttps://doi.org/10.1007/978-3-031-94837-4_4openalex-snapshot
Future Research Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-97019-1_9openalex-snapshot
RuCLEVR: A Russian Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-032-10185-3_46openalex-snapshot
Automatic Benchmarking of Large Multimodal Models via Iterative Experiment Programming
inferred← citeshttps://doi.org/10.1007/978-3-032-10202-7_14openalex-snapshot
Chat2Edit: A Prompt-Based Image Editor with Live Feedback and Parameter Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-13562-9_25openalex-snapshot
Neural-Symbolic AI for Culturally Adaptive Arabic Sign-Language Translation with Motion-Capture Avatars
inferred← citeshttps://doi.org/10.1007/978-3-032-14757-8_27openalex-snapshot
Integrating Language and Vision Models for Real-Time Assistance for the Visually Impaired
inferred← citeshttps://doi.org/10.1007/978-3-032-37098-3_19openalex-snapshot
Diffusion-Based Immersive Visual Reasoning
inferred← citeshttps://doi.org/10.1007/978-3-032-37199-7_17openalex-snapshot
HRN-DSL: Extending the Reasoning Scope of Hybrid Reasoning Networks Through LLM-Driven DSL Module Generation
inferred← citeshttps://doi.org/10.1007/978-3-319-46448-0_25openalex-snapshot
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-319-46448-0_7openalex-snapshot
Segmentation from Natural Language Expressions
inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_44openalex-snapshot
Revisiting Visual Question Answering Baselines
inferred← citeshttps://doi.org/10.1007/978-3-319-50077-5_12openalex-snapshot
Attributes as Semantic Units Between Natural Language and Visual Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-54407-6_18openalex-snapshot
Video Captioning via Sentence Augmentation and Spatio-Temporal Attention
inferred← citeshttps://doi.org/10.1007/978-3-319-68288-4_4openalex-snapshot
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions
inferred← citeshttps://doi.org/10.1007/978-3-319-73603-7_1openalex-snapshot
A Markov Network Based Passage Retrieval Method for Multimodal Question Answering in the Cultural Heritage Domain
inferred← citeshttps://doi.org/10.1007/978-3-319-98131-4_7openalex-snapshot
Ensembling Visual Explanations
inferred← citeshttps://doi.org/10.1007/978-981-10-6418-0_11openalex-snapshot
CognitiveCam: A Visual Question Answering Application
inferred← citeshttps://doi.org/10.1007/978-981-13-2291-4_34openalex-snapshot
Evolution of Function Modules in Complex Networks
inferred← citeshttps://doi.org/10.1007/978-981-15-5573-2openalex-snapshot
Representation Learning for Natural Language Processing
inferred← citeshttps://doi.org/10.1007/978-981-15-5573-2_9openalex-snapshot
Cross-Modal Representation
inferred← citeshttps://doi.org/10.1007/978-981-15-5788-0_10openalex-snapshot
Optimal Image Feature Ranking and Fusion for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-16-8143-1_11openalex-snapshot
MRRVOS: Modular Refinement Referring Video Object Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-19-0964-1_4openalex-snapshot
Classical Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-19-7615-5_12openalex-snapshot
A Novel Approach to Visual Linguistics by Assessing Multi-level Language Substructures
inferred← citeshttps://doi.org/10.1007/978-981-95-5761-5_29openalex-snapshot
VisualQuest: A Benchmark for Abstract Visual Reasoning in MLLMs
inferred← citeshttps://doi.org/10.1007/978-981-95-6398-2_5openalex-snapshot
On Interpretability in Multimodal Biomedical Image Analysis
inferred← citeshttps://doi.org/10.1007/978-981-96-0847-8_3openalex-snapshot
Recent Advances on Multi-modal Dialogue Systems: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-96-9263-7_11openalex-snapshot
Frontiers of AI Technologies
inferred← citeshttps://doi.org/10.1007/978-981-97-8171-3_16openalex-snapshot
Explainable and Trustworthy AI with Neuro-Symbolic Approaches
inferred← citeshttps://doi.org/10.1007/978-981-97-8487-5_12openalex-snapshot
Visual-Guided Reasoning Path Generation for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/978-981-99-0279-8_7openalex-snapshot
Conclusions and Future Trends
inferred← citeshttps://doi.org/10.1007/978-981-99-1600-9_3openalex-snapshot
Representation Learning for Compositional Semantics
inferred← citeshttps://doi.org/10.1007/978-981-99-6207-5_4openalex-snapshot
Overcoming Language Priors with Counterfactual Inference for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s00521-022-06975-2openalex-snapshot
Interpretable modular knowledge reasoning for machine reading comprehension
inferred← citeshttps://doi.org/10.1007/s00530-024-01394-wopenalex-snapshot
ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
inferred← citeshttps://doi.org/10.1007/s10044-026-01729-5openalex-snapshot
Hierarchical prompt composition for memory-efficient open-world continual learning in vision-language foundation models
inferred← citeshttps://doi.org/10.1007/s10462-019-09706-7openalex-snapshot
A review of modularization techniques in artificial neural networks
inferred← citeshttps://doi.org/10.1007/s10462-020-09832-7openalex-snapshot
Visual question answering: a state-of-the-art review
inferred← citeshttps://doi.org/10.1007/s10462-022-10148-xopenalex-snapshot
Attention, please! A survey of neural attention models in deep learning
inferred← citeshttps://doi.org/10.1007/s10462-022-10151-2openalex-snapshot
An analysis of graph convolutional networks and recent datasets for visual question answering
inferred← citeshttps://doi.org/10.1007/s10489-022-04105-yopenalex-snapshot
A review of cooperative multi-agent deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s10489-023-04841-9openalex-snapshot
From multi-label learning to cross-domain transfer: a model-agnostic approach
inferred← citeshttps://doi.org/10.1007/s11042-021-11276-2openalex-snapshot
Image captioning improved visual question answering
inferred← citeshttps://doi.org/10.1007/s11042-024-18886-6openalex-snapshot
Video captioning – a survey
inferred← citeshttps://doi.org/10.1007/s11063-021-10655-yopenalex-snapshot
An Improved Attention and Hybrid Optimization Technique for Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-017-1038-2openalex-snapshot
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-018-1096-0openalex-snapshot
Combining Multiple Cues for Visual Madlibs Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-018-1116-0openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11263-019-01189-xopenalex-snapshot
Video Question Answering with Spatio-Temporal Reasoning
inferred← citeshttps://doi.org/10.1007/s11263-019-01190-4openalex-snapshot
Convolutional Networks with Adaptive Inference Graphs
inferred← citeshttps://doi.org/10.1007/s11263-020-01405-zopenalex-snapshot
Deep Nets: What have They Ever Done for Vision?
inferred← citeshttps://doi.org/10.1007/s11263-022-01692-8openalex-snapshot
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning
inferred← citeshttps://doi.org/10.1007/s11263-023-01871-1openalex-snapshot
Towards Language-Guided Visual Recognition via Dynamic Convolutions
inferred← citeshttps://doi.org/10.1007/s11263-025-02502-7openalex-snapshot
Vision Generalist Model: A Survey
inferred← citeshttps://doi.org/10.1007/s11280-021-00879-2openalex-snapshot
A multi-granularity semantic space learning approach for cross-lingual open domain question answering
inferred← citeshttps://doi.org/10.1007/s11390-017-1755-6openalex-snapshot
Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering
inferred← citeshttps://doi.org/10.1007/s11633-025-1591-zopenalex-snapshot
Bootstrapping Large Language Models with Outsideknowledge for Knowledge-based Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s13042-018-0891-9openalex-snapshot
Depth estimation from infrared video using local-feature-flow neural network
inferred← citeshttps://doi.org/10.1007/s13748-026-00463-7openalex-snapshot
Neuro-Symbolic pathways to AGI: compositional reasoning and trustworthy deployment
inferred← citeshttps://doi.org/10.1007/s41060-024-00684-wopenalex-snapshot
The data dance: choreographing seamless partnerships between humans, data, and GenAI
inferred← citeshttps://doi.org/10.1007/s44196-023-00233-6openalex-snapshot
Multiscale Feature Extraction and Fusion of Image and Text in VQA
inferred← citeshttps://doi.org/10.1007/s44443-026-01083-wopenalex-snapshot
Generating visual questions with hop sequence reasoning
inferred← citeshttps://doi.org/10.1016/b978-0-323-89931-4.00012-2openalex-snapshot
Meta-learning for computer vision
inferred← citeshttps://doi.org/10.1016/j.aiopen.2021.07.002openalex-snapshot
Discrete and continuous representations and processing in deep learning: Looking forward
inferred← citeshttps://doi.org/10.1016/j.artint.2021.103504openalex-snapshot
Neural probabilistic logic programming in DeepProbLog
inferred← citeshttps://doi.org/10.1016/j.cogsys.2021.09.001openalex-snapshot
Vector Semiotic Model for Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.05.001openalex-snapshot
Visual question answering: A survey of methods and datasets
inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103864openalex-snapshot
CMGNet: Collaborative multi-modal graph network for video captioning
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104296openalex-snapshot
Adaptable automation with modular deep reinforcement learning and policy transfer
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116159openalex-snapshot
A framework for visual question answering with the integration of scene-text using PHOCs and fisher vectors
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122239openalex-snapshot
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering
inferred← citeshttps://doi.org/10.1016/j.hcc.2023.100184openalex-snapshot
Coreference resolution helps visual dialogs to focus
inferred← citeshttps://doi.org/10.1016/j.imavis.2020.103985openalex-snapshot
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104194openalex-snapshot
Interpretable visual reasoning: A survey
inferred← citeshttps://doi.org/10.1016/j.imavis.2021.104327openalex-snapshot
A survey of methods, datasets and evaluation metrics for visual question answering
inferred← citeshttps://doi.org/10.1016/j.inffus.2020.10.007openalex-snapshot
KM 4 : Visual reasoning via Knowledge Embedding Memory Model with Mutual Modulation
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102270openalex-snapshot
From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
inferred← citeshttps://doi.org/10.1016/j.ins.2021.05.032openalex-snapshot
Modular neural network via exploring category hierarchy
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102265openalex-snapshot
Video question answering via grounded cross-attention network learning
inferred← citeshttps://doi.org/10.1016/j.jiixd.2026.02.001openalex-snapshot
Pooling-based gate networks for dynamic modular continual learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109488openalex-snapshot
Enhancing pretrained language models with structured commonsense knowledge for textual inference
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116102openalex-snapshot
Improving visual grounding with expression-relevant object refinement and multi-order iterative reasoning
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.07.002openalex-snapshot
Kinematic skeleton graph augmented network for human parsing
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.016openalex-snapshot
Visual question answering by pattern matching and reasoning
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.10.026openalex-snapshot
Object-aware navigation for remote embodied visual referring expression
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129345openalex-snapshot
VQA and Visual Reasoning: An overview of approaches, datasets, and future direction
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.01.031openalex-snapshot
Compositional memory in attractor neural networks with one-step learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.03.034openalex-snapshot
Design and independent training of composable and reusable neural modules
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.11.009openalex-snapshot
NeuroLISP: High-level symbolic programming with attractor neural networks
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.06.028openalex-snapshot
A survey on neural-symbolic learning systems
inferred← citeshttps://doi.org/10.1016/j.neuron.2021.04.024openalex-snapshot
How does hemispheric specialization contribute to human-defining cognition?
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.01.038openalex-snapshot
Improving visual question answering using dropout and enhanced question encoder
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108106openalex-snapshot
Accuracy vs. complexity: A trade-off in visual question answering models
inferred← citeshttps://doi.org/10.1016/j.procs.2018.11.110openalex-snapshot
Compositional models for VQA: Can neural module networks really count?
inferred← citeshttps://doi.org/10.1017/s0033291720000835openalex-snapshot
Knowing me, knowing you: theory of mind in AI
inferred← citeshttps://doi.org/10.1017/s1351324918000086openalex-snapshot
From image to language and back again
inferred← citeshttps://doi.org/10.1017/s1351324918000128openalex-snapshot
Learning quantification from images: A structured neural architecture
inferred← citeshttps://doi.org/10.1038/s41467-022-32012-wopenalex-snapshot
Synthesizing theories of human language with Bayesian program induction
inferred← citeshttps://doi.org/10.1038/s41467-025-63804-5openalex-snapshot
A brain-inspired agentic architecture to improve planning with LLMs
inferred← citeshttps://doi.org/10.1038/sdata.2018.251openalex-snapshot
A dataset of clinically generated visual questions and answers about radiology images
inferred← citeshttps://doi.org/10.1049/ipr2.70447openalex-snapshot
Visual Question Answering Based on Visual Content and Query Enhancement
inferred← citeshttps://doi.org/10.1051/matecconf/201927702006openalex-snapshot
Semantic representation for visual reasoning
inferred← citeshttps://doi.org/10.1073/pnas.1900654116openalex-snapshot
Definitions, methods, and applications in interpretable machine learning
inferred← citeshttps://doi.org/10.1073/pnas.2509739123openalex-snapshot
Compositionality and systematicity emerge from iterated learning in deep linear networks
inferred← citeshttps://doi.org/10.1073/pnas.2530131123openalex-snapshot
Diffusion-induced instabilities promote cooperation in eco-evolutionary networks
inferred← citeshttps://doi.org/10.1098/rsta.2022.0041openalex-snapshot
Symbols and grounding in large language models
inferred← citeshttps://doi.org/10.1098/rsta.2022.0050openalex-snapshot
DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning
inferred← citeshttps://doi.org/10.1109/access.2018.2844789openalex-snapshot
Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2018.2873570openalex-snapshot
Multimodal Local Perception Bilinear Pooling for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2019.2947090openalex-snapshot
Sequential Image-Based Attention Network for Inferring Force Estimation Without Haptic Sensor
inferred← citeshttps://doi.org/10.1109/access.2020.3038605openalex-snapshot
A Gentle Introduction to Reinforcement Learning and its Application in Different Fields
inferred← citeshttps://doi.org/10.1109/access.2021.3074937openalex-snapshot
Improving Visual Reasoning Through Semantic Representation
inferred← citeshttps://doi.org/10.1109/access.2022.3220777openalex-snapshot
Help Transformer Improve Performance in Automatic Mathematics Word Problem-Solving
inferred← citeshttps://doi.org/10.1109/access.2023.3259737openalex-snapshot
Neural Textual Features Composition for CBIR
inferred← citeshttps://doi.org/10.1109/access.2023.3335216openalex-snapshot
A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering
inferred← citeshttps://doi.org/10.1109/access.2024.3400588openalex-snapshot
Q-LAtte: An Efficient and Versatile LSTM Model for Quantized Attention-Based Time Series Forecasting in Building Energy Applications
inferred← citeshttps://doi.org/10.1109/access.2024.3419153openalex-snapshot
An Automated Mechanism for Retrospective Event Discovery via Visual Query Responses
inferred← citeshttps://doi.org/10.1109/access.2024.3467062openalex-snapshot
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
inferred← citeshttps://doi.org/10.1109/access.2025.3572529openalex-snapshot
Enhancing Visual Question Answering for Multiple Choice Questions
inferred← citeshttps://doi.org/10.1109/access.2025.3649651openalex-snapshot
Contrastive Learning-Enhanced Chain-of-Thought Optimization for Complex Table Question Answering
inferred← citeshttps://doi.org/10.1109/access.2026.3734596openalex-snapshot
A Combinator Library for Neural Network Implementation
inferred← citeshttps://doi.org/10.1109/aitest.2019.00-15openalex-snapshot
Generation of Movement Explanations for Testing Gesture Based Co-Operative Learning Applications
inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249019openalex-snapshot
Herald: Democratizing Compositional Reasoning for Visual Tasks without Any Training
inferred← citeshttps://doi.org/10.1109/cac51589.2020.9326576openalex-snapshot
Fault Diagnosis of Bearings under Multiple Operating Conditions Based on Modular Neural Network
inferred← citeshttps://doi.org/10.1109/ccis.2018.8691361openalex-snapshot
Sequential Visual Reasoning for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.122openalex-snapshot
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
inferred← citeshttps://doi.org/10.1109/cvpr.2017.129openalex-snapshot
From Red Wine to Red Tomato: Composition with Context
inferred← citeshttps://doi.org/10.1109/cvpr.2017.149openalex-snapshot
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferred← citeshttps://doi.org/10.1109/cvpr.2017.232openalex-snapshot
Dual Attention Networks for Multimodal Reasoning and Matching
inferred← citeshttps://doi.org/10.1109/cvpr.2017.311openalex-snapshot
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data
inferred← citeshttps://doi.org/10.1109/cvpr.2017.344openalex-snapshot
Graph-Structured Representations for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2017.416openalex-snapshot
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
inferred← citeshttps://doi.org/10.1109/cvpr.2017.470openalex-snapshot
Modeling Relationships in Referential Expressions with Compositional Modular Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2017.558openalex-snapshot
Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures
inferred← citeshttps://doi.org/10.1109/cvpr.2017.651openalex-snapshot
Knowledge Acquisition for Visual Question Answering via Iterative Querying
inferred← citeshttps://doi.org/10.1109/cvpr.2017.671openalex-snapshot
Commonly Uncommon: Semantic Sparsity in Situation Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00142openalex-snapshot
MAttNet: Modular Attention Network for Referring Expression Comprehension
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00380openalex-snapshot
VizWiz Grand Challenge: Answering Visual Questions from Blind People
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