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parameter sharing
parameter sharing
205 papers
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Also known as
PSS
Co-occurring keywords
multi-task learning
(2575)
model compression
(3302)
transfer learning
(5449)
neural machine translation
(2310)
neural network
(6616)
neural architecture search
(666)
parameter efficiency
(417)
convolutional neural network
(4226)
efficient computing
(781)
multilingual translation
(294)
Papers
Does Self-Attention Need Separate Weights in Transformers?
NAACL 2025
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
NIPS 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
NIPS 2024
Learning To Compose SuperWeights for Neural Parameter Allocation Search
WACV 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NIPS 2024
Parameter-Efficient Adapter Based on Pre-trained Models for Speech Translation
INTERSPEECH 2024
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning
IJCAI 2024
STTATTS: Unified Speech-To-Text And Text-To-Speech Model
EMNLP 2024
MoEUT: Mixture-of-Experts Universal Transformers
NIPS 2024
Multi-Task Learning Improves Performance in Deep Argument Mining Models
ACL 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
NIPS 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NIPS 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
CVPR 2024
Can Transformers Learn n-gram Language Models?
EMNLP 2024
ShareBERT: Embeddings Are Capable of Learning Hidden Layers
AAAI 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
NIPS 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
AAAI 2024
FLY-TTS: Fast, Lightweight and High-Quality End-to-End Text-to-Speech Synthesis
INTERSPEECH 2024
Monomial Matrix Group Equivariant Neural Functional Networks
NIPS 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data
AISTATS 2024
Parameter Competition Balancing for Model Merging
NIPS 2024
LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing
ACL 2023
Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation
ACL 2023
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