NeurIPS 2025 Past Other
Women in Machine Learning Workshop @ NeurIPS 2025
WiML @ NeurIPS 2025
- Submission deadline
- Sep 8, 2025, 23:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (259)
Fetched from OpenReview (v2) on 2026-06-10.
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$Addressing Racial Bias in AI-Driven Photo Restoration: Enhancing Fidelity for African Facial Features$
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A Hybrid AI Framework for Automating High-Stakes Procurement Workflows
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A Multimodal Retrieval-Augmented Generation System for Banking Knowledge Access
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A Reinforcement Learning Approach for Personalized Automated Anesthesia Control
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A robust parameterized enhanced shift-splitting preconditioner for three-by-three block saddle point problems
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Accent-Aware Text-to-Speech for Nigerian English: Building Inclusive Voice AI from Community-Curated Data
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Addressing Data Scarcity in Women’s Health with Generative Autoencoders
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Addressing Domain Shift in Low-Resource Neuroimaging: Glioma Segmentation for Sub-Saharan MRI
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Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts
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Adversarial Priors Unleashed with Soft Actor Critic
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Agentic Multilingual NLP for Conflict Forecasting from Open-Source Text Streams
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AgentX: Automating AI Agent Creation with No-Code, Prompt-Driven Orchestration
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AI-Driven Accident Detection and Emergency Response for Low-Resource Settings
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AI-Powered Agritourism Chatbot: A Domain-Adapted RAG Chatbot with Transformer NLU for Rural Business Decision Support
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AInstein: Can AI Rediscover Scientific Concepts from First Principles?
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Aligned Machine
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Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning
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An Explainable Machine Learning Framework for K–12 Artificial Intelligence Education
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Analysing and Classifying Legal Texts on Mexican Cases of Domestic Violence: A Natural Language Processing and CNN-Based Approach
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AnnotateThis: Training research assistants to code subjective concepts with LLMs - a case study with climate change pessimism
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Artificial Mental Modeling by Leveraging Prescriptive Components in Large Language Models (LLMs)
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Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone
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Audio-Visual Open-Vocabulary Egocentric Spatio-Temporal Action Localization with NeRFs
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Auto-Prompt-Tuner: A Framework for Meta-LLM driven Prompt Optimization
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Automated Triage Classification in Emergency Services Using Spanish Clinical Notes: A Comparative Analysis between ALBERT and Classical Machine Learning Approaches
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Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes
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BEDTIME: A Unified Benchmark for Automatically Describing Time Series
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Beyond Data Scarcity: Quality Barriers to Trustworthy AI in Low-Resource Medical Imaging
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Beyond Detection: Predicting Code-Switch Points in Multilingual Conversations
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Beyond I-Con: A Roadmap for Representation Learning Loss Discovery
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BiasEdit: Debiasing Stereotyped Language Models via Model Editing
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Biologically Refined Imputation via Diffusion for Gene Expression
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Bootstrapping-Based Regularisation for Stable Deep Learning Clinical Prediction Models
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Building Text and Speech Benchmark Datasets and Models for Low-Resourced East African Languages: Experiences and Lessons
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Calibration-Free Passenger Re-ID in Mixed-Modality, Crowded Buses in East Africa
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Can AI-powered urban green space monitoring help African cities build climate resilience while addressing environmental inequities
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Can Text-to-Speech Systems enable Inclusive Computer-Based Testing? An Evaluation of Yoruba TTS for Visually Impaired Learners
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Can We Estimate The Entropy Of Arbitrary Distributions Known Up To A Normalization Constant? A Tale of Stein Variational Gradient Descent Scalability
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Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
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CardioPredictor: An Intelligent IoT-Based Risk Prediction Model for Cardiovascular Disease in Low Resourced Environments
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Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
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Causal Investigations of Compound AI System Behaviors: Applications in Synthetic Audio Detection and Air Combat Training Scenario Generation
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Causal Strengths and Leaky Beliefs: Interpreting LLM Reasoning via Noisy-OR Causal Bayes Nets
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Causal Survival Analysis via Neural Mediation with Counterfactual Risk Estimation
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CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
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CGR-SMILES: A Compact and Universal Sequence Representation for Chemical Reaction Modeling
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Climate-Driven Malaria Prediction in Southwest Nigeria: Early Results from a Weighted Deep Learning Ensemble Framework
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Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
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Cognitive Decision Intelligence Framework for Explainable AI Systems
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Cognitive Machine Learning for Reducing Survey Fatigue in Clinical Trials
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Comparative Analysis of Machine Learning Models for Climate Change Sentiment Classification: A Multi-Method Evaluation Study
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Computer-assisted cyclist road safety warning system
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Conditional Adversarial Random Forest for Synthetic Electronic Health Record Generation
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Conformal Prediction for Time-series Forecasting with Change Points
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Context-Aware Neural Machine Translation of English Numerical Expressions to Yorùbá: A Fine-Tuning Approach for Financial and General Domains
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Continual Neural Topic Model
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Continual world model with counterfactual simulated interactions
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Contrastive Representations for Temporal Reasoning
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Conv-GRU Temporal Refiner for Prandial Recommendations in Type 1 Diabetes
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Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
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Cross-Subject and Cross-Montage EEG transfer learning with Individual Tangent Space Alignment
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CubicVLA: Efficient Robot Action Representation via Cubic Trajectory Parameterization
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Data Driven AI: Federated Explainable AI for Privacy-Preserving Lung and Colon Cancer Medical Image Diagnosis
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Data-Driven Detection of Leaking Valves in Air Handling Units
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Deep Learning for Urban Planning and Location-Based Services
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Deep Models Under Domain Shift: A Sketch-Based Study
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Development of a model for customer reviews and feedback on E-commerce website
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Dialect-Aware Neural Models for Low-Resource African Languages: A Case Study on Igbo
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Differential Gated Self-Attention
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Discovering neo-Hebbian plasticity rules for reward-driven training of RNNs
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Distributed Specialization: How Transformers Process Rare Tokens Through Parameter Differentiation
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Do Biased Models Have Biased Thoughts?
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Do Machines Think Emotionally? A Cognitive Appraisal Analysis of Large Language Models
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DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning
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Dream Diary: Case Study on Diffusion LLM’s Arithmetic Behavior
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Dynamic 3D MRI Reconstruction from Single-Spoke via Motion-Compensated Neural Representation
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Efficient Data Selection for Split Neural Networks
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Efficient Spam Detection with Sentence-BERT using Adaptive Uncertainty-Diversity Ranking Coresets
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Electroencephalogram Interpretable Signal Processing for Anesthesia Predictive Monitoring with Knowledge Distillation
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Embedding Emotions: Measuring What Matters in Flemish Daily Stories
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Embodied Relational Intelligence: A Feminist-Informed Framework for Inclusive Multimodal Agents
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Empirical Evidence of the Hidden Costs of Overparameterization: Prediction Instability in Statistical & Machine Learning Models
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Ensemble Deep Learning for Forecasting Lassa Fever Outbreaks in Nigeria: Integrating Incidence and Weather Data for Early Warning
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Evaluating AI Agent Persuasion of Safety Monitors
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Evaluating and Enhancing Large Language Models in Generating UML Class Diagram for Good Code Design
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Evaluating the Causal Effect of Chain-of-Thought on Groundedness in Tool-Use Agents via Counterfactual Mutations
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Exact Learning Dynamics of Bottlenecked and Wide Deep Linear Networks
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Explainable Multimodal Machine Learning for ESG Rating Prediction
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Explaining and Predicting Fine-Tuning in Large Models via Linearization
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Factorization Machine-Enhanced Crossformer for Multivariate Time Series Event Detection in Epidemic
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FairFusion: Distributionally Robust Fair-Multimodal Learning for College Admissions
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Fairness-Aware Resource Optimization in Federated Learning
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FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
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FairSimCLR: A Fairness-Aware Contrastive Learning Framework for Demographic Bias Mitigation in Dermatology Imaging
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Federated Learning and Class Imbalances - А Study on Breast Lesion Segmentation in DCE-MRI
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FEEL: Modeling Physiological Diversity for Robust Emotion Recognition
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Finding Memo: The Hidden Influence of Memorization in Large Language Models’ Performance – A Critical Analysis of Benchmark Evaluation
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Finding Reaction Mechanism Pathways with Deep Reinforcement Learning and Heuristic Search
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Fine-Tuning Large Language Models on EHR Data for Early Endometriosis Diagnosis in Adolescents
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Fixed Aggregation Features Can Rival GNNs
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Flatness-Aware Regularization for Robust Generalization in Deep Neural Networks
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Foundation model based prostate cancer segmentation on whole mount digitized H&E radical prostatectomy section
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Foundation Models on a Budget: Approximating Blocks in Large Vision Models
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From Algorithm to Alliance: A Blueprint for Responsible and Explainable AI in Mental Health Screening
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From Mechanisms to Models: Multi-Modal Machine Learning for Kinetically Constrained Genome-Scale Metabolic Models
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From National Goals to Industry Action: AI-Driven Forecasting of India’s Carbon Emissions
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From Prediction to Causation: Active Experiment Design for Robust Discovery
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From Sensing to Reasoning: Multi-Modal Large Language Models Guiding Robotic Intelligence in Autonomous Labs
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G-Loss: Graph-Guided Fine-Tuning of Language Models
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GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model
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Generating and Adapting Audio Description with Vision–Language Models for Blind and Low-Vision Users
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Generation of Multiple Types of Driving Scenarios with a Unified Generative Model for Autonomous Driving
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Graph Dreamer: Temporal Graph World Models for Sample-Efficient and Generalisable Reinforcement Learning
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Graph-Based Multimodal Learning for Early Sepsis Prediction in Resource-Constrained Clinical Settings
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Greenwashing Detection with Causal Explanation: A Novel Multi-layered Approach
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Gricean Maxims in LLM Development
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HIFoD: Rethinking Indicators of Compromise in Heterogeneous Image Forgery Detection, Classification and Localization
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How to Give Health-Behavioural Recommendations Using Meta-Reinforcement Learning to Reduce Cancer Risk
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How Well Do LLMs Unlearn Facts? - A Knowledge Graph Perspective
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Hybrid SNN-Transformer Networks for Event-Based, Energy-Efficient Large-Scale Learning
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Identifying Key Predictors of Food Security in Mexico using Machine Learning Models
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iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
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IMAiGen: A Cross-Modal Image-to-Music Generation with a Non-Deep Learning Core
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Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages
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Improving Generation Quality of Long-Tailed Diffusion via Disentangled Latent Representations
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Improving Vision-LLMs with Human Cognitive Signals
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Imputation Free Deep Survival Prediction using Conditional Variational Autoencoders
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Inclusive Education through AI: A Framework for Swahili - English Audio Access in Tanzanian Libraries
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Individually Fair Clustering with Outliers
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Instruction-based Time Series Editing
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Integrating Thermal Imaging and Deep Learning for Real-Time Strength Estimation in 3D Concrete Printing
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Intermediate Representations for Improved Code Translation with LLMs
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Interpretable KPI Analytics for Resource-Efficient AI-RAN Intelligence
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Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry
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Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
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Invariant Graph Representations Learning via Redundant Information
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Investigating the Hate–Credibility Nexus Across Datasets and Content Formats
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Kernel Distributionally Robust Recourse Action
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Law-like Principles for Artificial Intelligence: Better Construction and Interpretation of Rules
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Layer of Truth: How Much Poison Is Enough? Illusory-Truth Effects in Continual Pre-training
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Learning Robust Multimodal Control for Resource-Constrained Platforms
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Learning to Handle Constraints in Routing Problems via a Construct-and-Refine Framework
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Learning Visual Concepts via Vision Language Programs
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LEMON: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding
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Leveraging Machine Learning and Large Language Models for Enhanced Occupational Stress Detection
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Lightweight Continual Learning for Cervical Cancer Diagnosis with Synthetic Augmentation and Explainable AI
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Lightweight Vision Transformers for Mammography: Balancing Accuracy and Efficiency with Methodological Rigor
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LISTEN: Leveraging Open-Weight LLMs for Real-Time Monitoring of Health Misinformation on Social Media
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LLM-based Code Evaluation for Fairness
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LLM-Enabled Semantic Caching for Affordable Web Access
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LLM-Powered Graph Reasoning for Knowledge Discovery
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Low-Resource Rhythm Learning: Machine Learning Approaches to Structured Classical Beats
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LVT: Large-Scale Scene Reconstruction via Local View Transformers
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Machine learning discovery of regional and social disparities in electric vehicle charging reliability
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Machine Learning Models for Predicting Suicidal Ideation in University Students
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Mental Accounts for Actions: EWA-Inspired Attention in Decision Transformers
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Milk Prediction Using Conformation Traits as Privileged Information
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Mind the Gap: LLM Actions vs. Human Social Understanding in Moral Dilemmas
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Mitigating Knowledge Entropy: A Multi-Agent Framework with Decoupled Reranking and Governance-by-Design
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Modeling Dynamical Systems of Energetic Materials: Physics-Aware Convolutional Neural Networks in a Latent Space (LatentPARC)
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Multi-Architecture Temporal Models for Early Symptom-Based Disease Prediction
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Multimodal Asymmetric Convolutional Autoencoder for Vehicle Small Damage Detection
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Multimodal Neuroimaging Fusion for Alzheimer's Disease: An Image Colorization Approach With Mobile Vision Transformer.
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Multimodality extension to Universal Multilingual BPE Text Tokenizer
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Narrative2Music: Generating Emotion-Aligned Music for Sentences
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Neither Valid Nor Reliable? Investigating the Use of LLMs as Judges
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Netlist‑Level Design and Evaluation of Stealthy Hardware Trojans
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Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
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Neuroscience-Inspired Encoding and Learning: A Path to Robust Representation Learning
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No-Regret Contextual Bandits for Cost-Sensitive Decision-Making
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Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
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Online two-sided markets: many buyers enhance learning
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OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
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Optimizing Noise Distributions for Differential Privacy
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ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data
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Overcoming Data Scarcity in Depth-Based Human Action Recognition via Zero-Shot Depth Estimation
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ÒWE-YOR: Leveraging Transformer Based Models for Yoruba Proverb Classification
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Perceptual Regularization from Human Visual System Models Improves Adversarial Robustness
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Persona-Infused Dynamic Collaborative Decoding
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Personalized AI-driven Teacher’s Comment Model for Nigerian Secondary School Students’ Result
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Personalizing Foundation Models for Cancer Imaging: A Study on Lymph Node Segmentation with SAM2 and MedSAM2
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Physics-Informed Graph Diffusion for Climate Downscaling
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Pidgin Science Voices: A Community-Driven Speech Corpus for Inclusive STEM Education
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Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
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Political Bias in Neural Retrieval: Model-Agnostic Measurement on Canadian Social Media
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Poly-Autoregressive Prediction for Modeling Interactions
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Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
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PRIME Guardrails: A General, Low‑Latency Safety Framework for Generative AI
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PRISM-FL: Privacy-preserving Image Synthesis Mechanism for Federated Learning
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Prompt Engineering for Imposter Scam Detection by Resourced-Constrained Organizations
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Prompt Engineering for Spanish Sexism Detection
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QuantumConoMix: Benchmarking Shallow VQCs for Resource-Constrained Peptide Classification
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RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
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Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets
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Recurrent Hamiltonian Echo Learning Enables Biologically Plausible Training of Recurrent Neural Networks
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Reduced-Dimensional Anomaly-Aware Generalization for Deepfake Image Detection
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REPLAY-BASED CONTINUAL FEDERATED LEARNING USING INCREMENTALLY AGGREGATED GRADIENTS
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RetinaSynth: Diffusion‑Based Synthetic Imaging
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REVEAL – Reasoning and Evaluation of Visual Evidence through Aligned Language
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Revisiting Replay and Gradient Alignment For Continual Pretraining of Large Language Models
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Reward the Reward Designer: Making Reinforcement Learning Useful for Clinical Decision Making
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Risk-Aware Deep Reinforcement Learning with Hierarchical Adaptation for XAU/USD Trading
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Robust phoneme classification under adverse conditions using MEG data
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Robustness of Vision-Based Human Activity Recognition under Naturalistic Distribution Shifts
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Safe Reinforcement Learning Framework Under a Linear Programming Formulation
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Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
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Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
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Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems
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SCRIBE: A Fine-Tuned Transformer Embedding Model for Evaluating Medical School Personal Statements
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See No Evil: Adversarial Attacks on Referring Multi-Object Tracking Systems
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SENSE: SENsing Similarity SEeing Structure
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Separating Control and Data Planes for Safe Agentic Browsing
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SGEAG: Semantic-guided emotional-aware gesture generation from audio
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SicklePrenatal: Biometric-Guided Deep Learning For Early Sickle Cell Risk Detection From Fetal Ultrasound
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SignFormer-GCN: Continuous Sign Language Translation using Spatio-Temporal Graph Convolutional Networks
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SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages
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Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
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SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards
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Spatio-Temporal Dual Attention with Cross-Sensor Attention for Enhanced IMU-based Human Activity Recognition
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Speak, Start, See, Sense: How NLP, Robotics, and Computer Vision can Improve Automated Experimentation in Self-driving Labs
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Spectral–Topology-Aware KG-MARL for 5G V2V Sidelink
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Stable and Uncertainty-Aware Local Post-hoc Explanations Using Active Learning
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Strategic Feature Selection
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Stress-Testing Byzantine Defenses under Data Heterogeneity
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Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata
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Summarizing Diagnoses from Clinical Notes: Towards a Benchmark and Systematic Evaluation
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Tag2M- A Task-Agnostic Knowledge Distillation Framework for Distilling Gnn to MLP
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Talking with Oompa Loompas: A Novel Framework for Evaluating Linguistic Acquisition of LLM Agents
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Targeted GAN Unlearning via Mode Suppression under Memory Budgets
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TARnISHED: Forecasting Emergency Department visits using Wastewater with Multivariate Gaussian Random Walks
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Temporal Kolmogorov-Arnold Networks for Robust Multi-Horizon PM$_ {2.5}$ Forecasting
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The Exposome Interpreter as a Multi-modal Framework for Autoimmune Trigger Identification
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The Representations of Deep Neural Networks Trained on Dihedral Group Multiplication
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The Social Laboratory: A Psychometric Framework for Multi-Agent LLM Evaluation
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TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
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TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
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Tonative: Community-Driven Extension of African Datasets Through Human-AI Collaboration
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Toward Scalable and Physically-Grounded Learning Frameworks: Neural Finite Volume Methods for Solving Hyperbolic PDEs
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Towards Democratizing LLMs: Investigating Multilingual Mixture-of-Experts Models
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Towards Inclusive NLP: Benchmarking and Mitigating Bias in Named Entity Recognition for African Languages and Entities.
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Towards Test-Time Adaptation for Neural Surrogates
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Towards Understanding Multimodal Fine-Tuning: A Case Study into Spatial Features
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Towards Well-Calibrated AutoML: A Theoretical Analysis based on Ensemble Diversity
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Trustworthiness of LLMs in Grading and Demographic Fairness in Medical RAG
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Two Steps from Hell: Compositionality on Chemical LMs
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Uncertainty-driven Multimedia Source File Matching
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Understanding Adversarial Weakness in Vision-Language Models
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Understanding LoRA Update Complexity Through Stable Rank
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Unifying Mechanistic Interpretations of Neural Networks Trained on Modular Addition
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Unmasking COVID-19 Vulnerability in Nigeria: Mapping Risks Beyond Urban Hotspots
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Unveiling Signal Property Usage in Transformers for Time Series Classification
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V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation
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VesselGPT: Autoregressive Modeling of Vascular Geometry
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ViAD : A Novel Strategic Robotic Navigation Methodology
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Voices of Fashion: 150-Hour Yoruba Speech Corpus for Egba Adire and Color Advisory Systems
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When “Government-Approved” LLMs Silence Citizen Voices: Evidence of Systematic Demographic Bias in Federal Comment Analysis
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When Endangered Voices Speak: Building the First Ehugbo Dialect Audio Dataset Through Grassroots Collaboration
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Which View Works Best? Evaluating Representations for Scientific Document Retrieval
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Who is In Charge? Dissecting Role Conflicts in LLM Instruction Following