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The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
Understanding ensemble learning from first principles in Excel The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Toward...
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[Paper] Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
Plant diseases pose a significant threat to global food security, necessitating accurate and interpretable disease detection methods. This study introduces an i...
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[Paper] AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
Generalist robot learning remains constrained by data: large-scale, diverse, and high-quality interaction data are expensive to collect in the real world. While...
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[Paper] InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models
Text-to-image (T2I) diffusion models generate high-quality images but often fail to capture the spatial relations specified in text prompts. This limitation can...
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[Paper] ShareChat: A Dataset of Chatbot Conversations in the Wild
While Large Language Models (LLMs) have evolved into distinct platforms with unique interface designs and capabilities, existing public datasets treat models as...
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[Paper] Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
Modern Sequential Recommendation (SR) models commonly utilize modality features to represent items, motivated in large part by recent advancements in language a...
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[Paper] LLM-based Behaviour Driven Development for Hardware Design
Test and verification are essential activities in hardware and system design, but their complexity grows significantly with increasing system sizes. While Behav...
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[Paper] Domain-Aware Quantum Circuit for QML
Designing parameterized quantum circuits (PQCs) that are expressive, trainable, and robust to hardware noise is a central challenge for quantum machine learning...
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[Paper] Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
Multi-instance partial-label learning (MIPL) is a weakly supervised framework that extends the principles of multi-instance learning (MIL) and partial-label lea...
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[Paper] Bangla MedER: Multi-BERT Ensemble Approach for the Recognition of Bangla Medical Entity
Medical Entity Recognition (MedER) is an essential NLP task for extracting meaningful entities from the medical corpus. Nowadays, MedER-based research outcomes ...
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Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)
Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows. The post Agentic AI Swarm Optim...
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[Paper] AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora
Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large lang...