Position Paper Demands Conceptual Ideas Drive Machine Learning Research
中文摘要
ICML 2026立场论文呼吁机器学习研究回归概念创新，摒弃对基准测试和规模扩展的盲目追求。
English Summary
An ICML 2026 paper argues that conceptual innovation, not benchmark chasing or scaling, should drive machine learning research.
Original Excerpt
The ICML 2026 paper argues that novel thinking must replace benchmark chasing and scaling experiments as the core of the field Continue reading on Medium »