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Model Merging

552 directly classified papers

Papers per year

Papers

Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion ICML 2020
Combination of End-to-End and Hybrid Models for Speech Recognition INTERSPEECH 2020
The Volctrans Machine Translation System for WMT20 EMNLP 2020
TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles COLING 2020
KAFK at SemEval-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification COLING 2020
Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition SEMEVAL 2020
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models EMNLP 2020
SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020
Model Watermarking for Image Processing Networks AAAI 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Model Fusion via Optimal Transport NIPS 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NIPS 2020
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019
Transfer Learning by Adaptive Merging of Multiple Models MIDL 2019
Amalgamating Knowledge towards Comprehensive Classification AAAI 2019
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin ICML 2019
EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP 2019
Superposition of many models into one NIPS 2019
BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction SEMEVAL 2019
Improving Sentiment Classification in Slovak Language ACL 2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation IJCNLP 2019
Unifying Heterogeneous Classifiers With Distillation CVPR 2019
Collective Model Fusion for Multiple Black-Box Experts ICML 2019
Direct Neuron-Wise Fusion of Cognate Neural Networks INTERSPEECH 2019