← Application Areas
Machine Learning › Application Areas ›

Model Merging

552 directly classified papers

Papers per year

Papers

Towards Reusable Network Components by Learning Compatible Representations AAAI 2021
Model Linkage Selection for Cooperative Learning JMLR 2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking CVPR 2021
Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction ACL 2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers EMNLP 2021
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction SEMEVAL 2021
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection SEMEVAL 2021
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models SEMEVAL 2021
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables ACL 2021
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection ACL 2021
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles SEMEVAL 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021
Continual Learning via Local Module Composition NIPS 2021
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction ACL 2021
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection SEMEVAL 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling ICML 2021
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation EMNLP 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021
Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection ACL 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation INTERSPEECH 2021
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction ACL 2021