parameter sharing

Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024 Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024 Multi-Task Learning Improves Performance in Deep Argument Mining Models ACL 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML 2024 Parameter Competition Balancing for Model Merging NeurIPS 2024 Parameter-Efficient Adapter Based on Pre-trained Models for Speech Translation Interspeech 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024 SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NeurIPS 2024 STTATTS: Unified Speech-To-Text And Text-To-Speech Model EMNLP 2024 VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks NeurIPS 2024 Weight-Entanglement Meets Gradient-Based Neural Architecture Search AutoML 2024 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning AAAI 2023 Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023 A Simple Concatenation can Effectively Improve Speech Translation ACL 2023 A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods EACL 2023 Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration ICCV 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network ICCV 2023 Efficient Computation Sharing for Multi-Task Visual Scene Understanding ICCV 2023 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023 Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP 2023