2 papers
cs.CV2026
Reframing Long-Tailed Learning via Loss Landscape Geometry
Shenghan Chen, Yiming Liu, Yanzhen Wang +2
Balancing performance trade-off on long-tail (LT) data distributions remains a long-standing challenge. In this paper, we posit that this dilemma stems from a phenomenon called "ta…
cs.LG2024
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis
Anshul Thakur, Yichen Huang, Soheila Molaei +2
Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from…