layer selection

AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks CVPR 2026 GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection EACL 2026 Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026 LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation CVPR 2026 RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026 A Layer Selection Approach to Test Time Adaptation AAAI 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices CVPR 2025 Multimodal Language Models See Better When They Look Shallower EMNLP 2025 Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers COLING 2024 Learnable Layer Selection and Model Fusion for Speech Self-Supervised Learning Models Interspeech 2024 Speech foundation models in healthcare: Effect of layer selection on pathological speech feature prediction Interspeech 2024 WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing ACL 2024 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 On Surgical Fine-tuning for Language Encoders EMNLP 2023 Adaptable Adapters NAACL 2022 Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning EMNLP 2022 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer ACL 2021 Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018