KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale @TheOfficialACM
KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale @TheOfficialACM
Uploaded July 2026 | Updated September 2026, 2 weeks ago
Radhika Dua, Aditi Agarwal, Aishwarya Jayagopal, Depanshu Sani, Alex Wilson, Hoang Tran, Ishan Deshpande, Bogdan Floristean, Neelabh Goyal, Ramya Cheruvu, Vishal Batchu, Yan Mayster, Gaurav Aggarwal, Alok Talekar, Vaibhav Rajan
KDD 2026 - Smallholder Agricultural Landscape Understanding at a National ScaleKDD 2026 - Learning Peer Influence Probabilities with Linear Contextual BanditsKDD 2026 - Macro Graph of Experts for Billion-Scale Multi-Task RecommendationKDD2026-DSPR: Dual-StreamPhysics-Residual Networks for Trustworthy Industrial Time SeriesForecastingFLASC: Federated LoRA with Sparse CommunicationKDD 2026 - AutoOrbit: Physics-Informed Satellite Orbit PredictionKDD2026-UNITE:A UnifiedFramework for Accu. andEfficientOrigin-Destination andRouteTravelTimeEstim.KDD 2026 - Retrv-MoE: Scaling Unified Multimodal Retrieval with Sparse Mixture-of-ExpertsKDD 2026 - Balanced Multimodal Federated Learning: An Efficient and Noise-Resilient ApproachKDD 2026 - Semi-Supervised Text-Attributed Graph DistillationVinicius Pereira on The Need For Linguistic DiversityKDD 2026-DIREC: Diffusion-Based Review-Embedding Generation for Accurate Cross-Domain Recommendation
Association for Computing Machinery (ACM) |

KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale

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