ICML 2026PastOther
ICML 2026 GlobalSouthML
GlobalSouthML
- Submission deadline
- May 6, 2026, 14:59 UTCOpenReview-synced 2026-05-06 14:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (82)
Fetched from OpenReview (v2) on 2026-06-10.
"Less is More" for AIGC Quality: A No-Reference IQA Model from Scratch
"So, How Much Do LLMs Hallucinate on Low-Resource Languages?" A Quantitative and Qualitative Analysis
A Co-Evolutionary Metaheuristic-HDBSCAN Framework for Feature Selection in eGFR-Based CKD Prediction
ABO-Med: Accelerated Bilevel Optimization for Few-Shot Medical Image Classification
ADAL-R: Adaptive Drift-Aware Active Learning for Label-Efficient Streaming Regression
Adversarial Reasoning Manipulation in Small Language Models: Attack Taxonomy, Empirical Evaluation, and Detection Framework
Agentic Tool-Augmented Translation for Low-Resource Sanskrit--English under Resource Constraints
Answer, Ask, or Escalate? Evaluating Public-Service Triage in Global South Languages
Are Explanations Faithful Across Skin Tones? Assessing Foundation-Model Dermatology Classifiers
Balanced Fine-Tuning Is Not Enough: Latent Bias Mitigation in Speech Foundation Models
Beyond Echocardiography: Multimodal Deep Learning for Ejection Fraction Estimation from Standard ECG
Beyond Pixels: Embedding-Guided Keyframe Selection for VidLLMs
BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
Bodily Emotion Recognition on ABEE: A Diagnostic Baseline Study for Multi-Label Classification and VAD Regression
Bridging Fixed and Open-Vocabulary Segmentation in Remote Sensing via AI Orchestration
Bridging the Multilingual Gap in Educational Question Generation via Knowledge Distillation
Bridging the Visual Gap: Resource-Efficient VLM Adaptation for Meitei Mayek using Synthetic Multi-Modal Mixtures
CAGrad-Lite : Robust Coreset-Aware Gradient Descent for Low-Data Regimes
Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects
Convolutional X-formers for Vision
Corpus Composition Matters: Mixing Synthetic and Real Data for Time-Series Foundation Model Pretraining
CREST: Covariate-Regularized Emission Forecasting with Seasonal-Temporal Decomposition for Carbon Emission Prediction
Curriculum Learning for Safety Alignment
CVarGD: Coreset-Variance-Aware Gradient Descent for Data-Scarce Image Classification
DAPQ: Defect-Aware Perceptual Quality Metric for Training-Free Augmentation in Industrial Anomaly Detection
Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers
Default Lock-In: A Compute-Economics Account of Cultural Homogenization in AI Writing Tools
Efficient AI Deployment on Legacy Data Centers in the Global South
Efficient Data Selection for Split Neural Networks
Evaluating Indic Literary Creativity In LLMs through the Lens of the Shastras
Evaluation of Contextual Understanding in Large Language Models
FairCore: Subgroup-Equitable Coreset Selection with Provable Fairness–Efficiency Tradeoffs
GITCO: Gated Inference-Time Context Optimization in TSFMs
GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts
HiBias: A Nine-Faceted Bias Annotation Dataset for Media Bias Detection in Hindi
Human-Guided Causal Hypothesis Testing for Remote Sensing Anomaly Detection
IDO: Incongruity-aware Distribution Optimization for Multimodal Fake News Detection
IndiaCultureVL-Bench: Cultural Recognition and Prompt-Induced Collapse in Open Vision-Language Models
IndicDB - Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages
kilimoAI: Participatory Machine Learning for Low-Resource Crop Disease Detection in Tanzania
Latent Space Refusal Anchoring for Low-Resource African Languages: Mechanistic Safety Recovery Without Retraining
LawChain: A Resource-Efficient Blueprint for Legal Information Retrieval in Low-Resource Jurisdictions
Learning to Correct: Efficient Image Super-Resolution via Fourier-Based Correction Maps
LLM Scheming Inversely Scales with Pretraining Language Coverage
Machine Learning Challenges in Intelligent Unmanned Aerial Vehicle Operations in Developing Economies
Med-Cam: Minimal Evidence for Explaining Medical Decision Making
Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds
MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
MoReg: Minimal-Overlap 3D Point Cloud Registration via Visibility-Aware Matching
Normalizing Flow based Metric for Image Generation
On the Role of Intermediate Representations in Knowledge Distillation for Robust Generalization
One Backbone, Two Flood Hazards: Cross-Basin CNN Forecasting of Tropical Cyclone Rainfall and Surge Potential
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
PatchXFormer: Bridging the Data Gap in Tropical Solar Power Forecasting for Equitable Renewable Energy
Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations
PhyJointNet: Attention-Guided Joint Segmentation & Classification of Breast Ultrasound with Latent Feature Augmentation
Reducing Redundant Actions in ReAct Agents via Semantic Filtering
Refugee Watch: An Open-Source Framework for Climate-Resilient Humanitarian Analytics
Resolving Scale Conflict via Synchronized Multi-Stream Learning: A Framework for High-Fidelity Geospatial Mapping
Resource-Aware Prompting for Sinhala-Tamil Machine Translation: Methodological Insights for Compute-Limited Settings
Retrieval Dwelling: A Principled Sampling Strategy for Exploiting Spurious State Exploration
Router-Guided Data Selection for Efficient Deep Learning
Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
Seeing Without Light: A Benchmark Thermal Dataset for Robust Gesture Recognition
Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecasting
SETU: Optimal Event-Triggered Edge LLMs for Mental Health via Sequential Hypothesis Testing in Low-Resource Settings
Shadow-Robust Interactive Whiteboard via YUV Preprocessing and MediaPipe Hand Tracking
Single-Token Compositional Interfaces for Productive Morphology in Global South Languages
Spectral Representation Learning for Conditional Independence Testing
Stratified Coreset Selection for Data-Efficient Low-Resource African Language Sentiment Classification
The Invisible Charter: Frontier AI as Colonial Infrastructure and the Case for Multi-Vector Sovereign Governance
Understanding, Not Memorising: Hypernetwork-Based Weight Compression for Low-Resource Edge Deployment
Validation-Free Early Stopping for XGBoost via Spectral Saturation
Variance-Aware Quantized Multi-Scale Conformer for Efficient ECG Rhythm Classification on Resource-Constrained Devices
VarNorm-GD: Gradient Variance Normalisation for Scarce-Data Image Classification
VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
WaveMix: Resource-efficient Neural Network for Image Analysis
When Compression Helps Transfer: Optimal Sparse Model Selection under Distribution Shift for Low-Resource Deployment
When Source Curricula Hurt: A Theory of Curriculum Transfer Under Distribution Shift for Low-Resource Learning
WhenSpecializationLoses: ADecisionBoundaryStudyofSarvam-1vs.Translate-TestforHindiNLP
Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction