Author

S. Sastry

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#machine learning Jun 2026

Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification

This work proposes to restrict contrastive comparisons to categories within the same taxonomic level, and adopts a group-balanced design, ensuring each taxonomic level receives adequate optimization and improves both hierarchical consistency and classification accuracy from coarse to fine granularity.

Zhi-Yuan Tao, S. Sastry, Matthew J. Thompson et al. · arXiv.org · 0 citations

#artificial intelligence Jun 2026

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

Achieving dexterous robotic manipulation in the real world heavily relies on human supervision and algorithm engineering, which becomes a central bottleneck in the pursuit of general physical intelligence. Although emerging coding agents can generate code to automate algorithm search, their successes remain largely con...

Wenli Xiao, Jia Xie, Tonghe Zhang et al. · arXiv.org · 41 citations · ⚡3