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Model Merging

592 papers

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Papers

Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing ACL 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning ICLR 2020 Black-Box Adaptation of ASR for Accented Speech Interspeech 2020 CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models EMNLP 2020 CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations SemEval 2020 Collegial Ensembles NeurIPS 2020 Combination of End-to-End and Hybrid Models for Speech Recognition Interspeech 2020 Cornac: A Comparative Framework for Multimodal Recommender Systems JMLR 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 Fully Nested Neural Network for Adaptive Compression and Quantization IJCAI 2020 FusionDN: A Unified Densely Connected Network for Image Fusion AAAI 2020 Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition SemEval 2020 Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020 Knowledge Distillation from Internal Representations AAAI 2020 Learning Sparse Sharing Architectures for Multiple Tasks AAAI 2020 Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion ICML 2020 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Model Fusion via Optimal Transport NeurIPS 2020 Model Watermarking for Image Processing Networks AAAI 2020 Robot Action Selection Learning via Layered Dimension Informed Program Synthesis CoRL 2020 RTM Ensemble Learning Results at Quality Estimation Task EMNLP 2020 Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles SemEval 2020 Sparse Mixture of Local Experts for Efficient Speech Enhancement Interspeech 2020 SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020