ICML 2026 Past Other
ICML 2026 GlobalSouthML
GlobalSouthML
- Submission deadline
- May 6, 2026, 14:59 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 (82)
Fetched from OpenReview (v2) on 2026-06-10.
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"Less is More" for AIGC Quality: A No-Reference IQA Model from Scratch
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"So, How Much Do LLMs Hallucinate on Low-Resource Languages?" A Quantitative and Qualitative Analysis
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A Co-Evolutionary Metaheuristic-HDBSCAN Framework for Feature Selection in eGFR-Based CKD Prediction
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ABO-Med: Accelerated Bilevel Optimization for Few-Shot Medical Image Classification
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ADAL-R: Adaptive Drift-Aware Active Learning for Label-Efficient Streaming Regression
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Adversarial Reasoning Manipulation in Small Language Models: Attack Taxonomy, Empirical Evaluation, and Detection Framework
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Agentic Tool-Augmented Translation for Low-Resource Sanskrit--English under Resource Constraints
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Answer, Ask, or Escalate? Evaluating Public-Service Triage in Global South Languages
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Are Explanations Faithful Across Skin Tones? Assessing Foundation-Model Dermatology Classifiers
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Balanced Fine-Tuning Is Not Enough: Latent Bias Mitigation in Speech Foundation Models
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Beyond Echocardiography: Multimodal Deep Learning for Ejection Fraction Estimation from Standard ECG
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Beyond Pixels: Embedding-Guided Keyframe Selection for VidLLMs
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BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
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Bodily Emotion Recognition on ABEE: A Diagnostic Baseline Study for Multi-Label Classification and VAD Regression
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Bridging Fixed and Open-Vocabulary Segmentation in Remote Sensing via AI Orchestration
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Bridging the Multilingual Gap in Educational Question Generation via Knowledge Distillation
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Bridging the Visual Gap: Resource-Efficient VLM Adaptation for Meitei Mayek using Synthetic Multi-Modal Mixtures
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CAGrad-Lite : Robust Coreset-Aware Gradient Descent for Low-Data Regimes
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Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects
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Convolutional X-formers for Vision
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Corpus Composition Matters: Mixing Synthetic and Real Data for Time-Series Foundation Model Pretraining
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CREST: Covariate-Regularized Emission Forecasting with Seasonal-Temporal Decomposition for Carbon Emission Prediction
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Curriculum Learning for Safety Alignment
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CVarGD: Coreset-Variance-Aware Gradient Descent for Data-Scarce Image Classification
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DAPQ: Defect-Aware Perceptual Quality Metric for Training-Free Augmentation in Industrial Anomaly Detection
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Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers
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Default Lock-In: A Compute-Economics Account of Cultural Homogenization in AI Writing Tools
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Efficient AI Deployment on Legacy Data Centers in the Global South
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Efficient Data Selection for Split Neural Networks
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Evaluating Indic Literary Creativity In LLMs through the Lens of the Shastras
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Evaluation of Contextual Understanding in Large Language Models
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FairCore: Subgroup-Equitable Coreset Selection with Provable Fairness–Efficiency Tradeoffs
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GITCO: Gated Inference-Time Context Optimization in TSFMs
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GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts
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HiBias: A Nine-Faceted Bias Annotation Dataset for Media Bias Detection in Hindi
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Human-Guided Causal Hypothesis Testing for Remote Sensing Anomaly Detection
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IDO: Incongruity-aware Distribution Optimization for Multimodal Fake News Detection
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IndiaCultureVL-Bench: Cultural Recognition and Prompt-Induced Collapse in Open Vision-Language Models
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IndicDB - Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages
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kilimoAI: Participatory Machine Learning for Low-Resource Crop Disease Detection in Tanzania
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Latent Space Refusal Anchoring for Low-Resource African Languages: Mechanistic Safety Recovery Without Retraining
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LawChain: A Resource-Efficient Blueprint for Legal Information Retrieval in Low-Resource Jurisdictions
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Learning to Correct: Efficient Image Super-Resolution via Fourier-Based Correction Maps
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LLM Scheming Inversely Scales with Pretraining Language Coverage
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Machine Learning Challenges in Intelligent Unmanned Aerial Vehicle Operations in Developing Economies
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Med-Cam: Minimal Evidence for Explaining Medical Decision Making
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Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds
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MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
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MoReg: Minimal-Overlap 3D Point Cloud Registration via Visibility-Aware Matching
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Normalizing Flow based Metric for Image Generation
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On the Role of Intermediate Representations in Knowledge Distillation for Robust Generalization
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One Backbone, Two Flood Hazards: Cross-Basin CNN Forecasting of Tropical Cyclone Rainfall and Surge Potential
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Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
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PatchXFormer: Bridging the Data Gap in Tropical Solar Power Forecasting for Equitable Renewable Energy
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Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations
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PhyJointNet: Attention-Guided Joint Segmentation & Classification of Breast Ultrasound with Latent Feature Augmentation
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Reducing Redundant Actions in ReAct Agents via Semantic Filtering
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Refugee Watch: An Open-Source Framework for Climate-Resilient Humanitarian Analytics
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Resolving Scale Conflict via Synchronized Multi-Stream Learning: A Framework for High-Fidelity Geospatial Mapping
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Resource-Aware Prompting for Sinhala-Tamil Machine Translation: Methodological Insights for Compute-Limited Settings
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Retrieval Dwelling: A Principled Sampling Strategy for Exploiting Spurious State Exploration
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Router-Guided Data Selection for Efficient Deep Learning
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Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
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Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
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Seeing Without Light: A Benchmark Thermal Dataset for Robust Gesture Recognition
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Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecasting
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SETU: Optimal Event-Triggered Edge LLMs for Mental Health via Sequential Hypothesis Testing in Low-Resource Settings
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Shadow-Robust Interactive Whiteboard via YUV Preprocessing and MediaPipe Hand Tracking
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Single-Token Compositional Interfaces for Productive Morphology in Global South Languages
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Spectral Representation Learning for Conditional Independence Testing
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Stratified Coreset Selection for Data-Efficient Low-Resource African Language Sentiment Classification
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The Invisible Charter: Frontier AI as Colonial Infrastructure and the Case for Multi-Vector Sovereign Governance
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Understanding, Not Memorising: Hypernetwork-Based Weight Compression for Low-Resource Edge Deployment
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Validation-Free Early Stopping for XGBoost via Spectral Saturation
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Variance-Aware Quantized Multi-Scale Conformer for Efficient ECG Rhythm Classification on Resource-Constrained Devices
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VarNorm-GD: Gradient Variance Normalisation for Scarce-Data Image Classification
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VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
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WaveMix: Resource-efficient Neural Network for Image Analysis
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When Compression Helps Transfer: Optimal Sparse Model Selection under Distribution Shift for Low-Resource Deployment
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When Source Curricula Hurt: A Theory of Curriculum Transfer Under Distribution Shift for Low-Resource Learning
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WhenSpecializationLoses: ADecisionBoundaryStudyofSarvam-1vs.Translate-TestforHindiNLP
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Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction