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View article: CoMind: Towards Community-Driven Agents for Machine Learning Engineering
CoMind: Towards Community-Driven Agents for Machine Learning Engineering Open
Large language model (LLM) agents show promise in automating machine learning (ML) engineering. However, existing agents typically operate in isolation on a given research problem, without engaging with the broader research community, wher…
View article: Sample Complexity and Representation Ability of Test-time Scaling Paradigms
Sample Complexity and Representation Ability of Test-time Scaling Paradigms Open
Test-time scaling paradigms have significantly advanced the capabilities of large language models (LLMs) on complex tasks. Despite their empirical success, theoretical understanding of the sample efficiency of various test-time strategies …
View article: A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization Open
Machine learning (ML) has demonstrated considerable potential in supporting model design and optimization for combinatorial optimization (CO) problems. However, much of the progress to date has been evaluated on small-scale, synthetic data…
View article: CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization Open
Although LLM-based agents have attracted significant attention in domains such as software engineering and machine learning research, their role in advancing combinatorial optimization (CO) remains relatively underexplored. This gap unders…
View article: KM-Mask RCNN: A Lightweight Instance Segmentation Algorithm for Strawberries With Multiple Growth Cycles
KM-Mask RCNN: A Lightweight Instance Segmentation Algorithm for Strawberries With Multiple Growth Cycles Open
Accurate and efficient detection of multi-growth-cycle strawberry fruits can improve automated harvesting. However, the small size and unbalanced distribution of strawberry fruits make accurate identification of multi-growth-cycle strawber…
View article: MYOLO: A Lightweight Fresh Shiitake Mushroom Detection Model Based on YOLOv3
MYOLO: A Lightweight Fresh Shiitake Mushroom Detection Model Based on YOLOv3 Open
Fruit and vegetable inspection aids robotic harvesting in modern agricultural production. For rapid and accurate detection of fresh shiitake mushrooms, picking robots must overcome the complex conditions of the growing environment, diverse…
View article: Research on Instance Segmentation Algorithm of Greenhouse Sweet Pepper Detection Based on Improved Mask RCNN
Research on Instance Segmentation Algorithm of Greenhouse Sweet Pepper Detection Based on Improved Mask RCNN Open
The fruit quality and yield of sweet peppers can be effectively improved by accurately and efficiently controlling the growth conditions and taking timely corresponding measures to manage the planting process dynamically. The use of deep-l…
View article: Citrus Tree Crown Segmentation of Orchard Spraying Robot Based on RGB-D Image and Improved Mask R-CNN
Citrus Tree Crown Segmentation of Orchard Spraying Robot Based on RGB-D Image and Improved Mask R-CNN Open
Orchard spraying robots must visually obtain citrus tree crown growth information to meet the variable growth-stage-based spraying requirements. However, the complex environments and growth characteristics of fruit trees affect the accurac…