conftrace_

weight sharing

99 papers

Explore in graph

Also known as

WS

Co-occurring keywords

neural architecture search (666) model compression (3302) neural network (6616) convolutional neural network (4226) knowledge distillation (3725) supernet training (26) parameter efficiency (417) image classification (1944) one-shot learning (233) neural network optimization (1293)

Papers

Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning AAAI 2026
Polymorphic Universal Transformer ACL 2026
Parameter-Efficient Quality Estimation via Frozen Recursive Models EACL 2026
RQT: Hierarchical Residual Quantization for Multi-Model Compression ACL 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy AAAI 2025
SLlama: Parameter-Efficient Language Model Architecture for Enhanced Linguistic Competence Under Strict Data Constraints EMNLP 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025
Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages ACL 2025
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads NSDI 2025
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs ACL 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024
Preparing Lessons for Progressive Training on Language Models 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
Learning symmetries via weight-sharing with doubly stochastic tensors NIPS 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024
Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model CVPR 2024
Permutation Equivariant Neural Functionals NIPS 2023
Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023
Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks NIPS 2023
ShiftNAS: Improving One-shot NAS via Probability Shift ICCV 2023
Train-Once-for-All Personalization CVPR 2023