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20232026
most citedHYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

11 citations · 12 across the 6 of their papers we have counts for

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cs.AI2026

Semantic Adapter Routing with Fine-Tuning Task Embeddings

Enrico Cassano, Michał Brzozowski, Paolo Mandica +2

Parameter-efficient fine-tuning (PEFT) has led to model ecosystems in which a single backbone is paired with many task-specialized adapters. Given such a library, routing aims to s…

cs.LG2026

GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning

Paolo Mandica, Michał Brzozowski, Zuzanna Dubanowska +1

Low-rank adaptation (LoRA) has become the dominant paradigm for parameter-efficient fine-tuning (PEFT) of large language models (LLMs). However, its bilinear structure introduces a…