weight sharing

Parameter-Efficient Quality Estimation via Frozen Recursive Models EACL 2026 Polymorphic Universal Transformer ACL 2026 Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning AAAI 2026 EG-ENAS: Efficient and Generalizable Evolutionary Neural Architecture Search for Image Classification AutoML 2025 Exploring Shared-Weight Mechanisms in Transformer and Conformer Architectures for Automatic Speech Recognition Interspeech 2025 FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025 HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025 LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing ICLR 2025 Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages ACL 2025 Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs ACL 2025 RQT: Hierarchical Residual Quantization for Multi-Model Compression ACL 2025 SLlama: Parameter-Efficient Language Model Architecture for Enhanced Linguistic Competence Under Strict Data Constraints EMNLP 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads NSDI 2025 TinySubNets: An Efficient and Low Capacity Continual Learning Strategy AAAI 2025 Dynamic Layer Tying for Parameter-Efficient Transformers ICLR 2024 Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024 EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks COLING 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space ICLR 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases ICML 2024