parameter sharing

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NeurIPS 2021 Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks NeurIPS 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021 Hierarchical Transformer for Multilingual Machine Translation EACL 2021 Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task ACL 2021 Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs EMNLP 2021 Learning Language Specific Sub-network for Multilingual Machine Translation ACL 2021 Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021 Lossless Compression of Structured Convolutional Models via Lifting ICLR 2021 Maximum Roaming Multi-Task Learning AAAI 2021 Meta-learning Symmetries by Reparameterization ICLR 2021 Model Linkage Selection for Cooperative Learning JMLR 2021 Multimodal Phased Transformer for Sentiment Analysis EMNLP 2021 Multi-Task Recurrent Modular Networks AAAI 2021 One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ACL 2021 Parameter Efficient Multimodal Transformers for Video Representation Learning ICLR 2021 Personalized Federated Learning using Hypernetworks ICML 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices NeurIPS 2021 Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers EMNLP 2021 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders EMNLP 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters AAAI 2021 Towards Impartial Multi-task Learning ICLR 2021 UniT: Multimodal Multitask Learning With a Unified Transformer ICCV 2021 12-in-1: Multi-Task Vision and Language Representation Learning CVPR 2020