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Papers
Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation
SemEval 2020
Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies
ACL 2020
LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier
COLING 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
NeurIPS 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
ICML 2020
Modality-Balanced Models for Visual Dialogue
AAAI 2020
NMF Ensembles? Not for Text Summarization!
EMNLP 2020
Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets
EMNLP 2020
Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers
SemEval 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier
SemEval 2020
Sarcasm Detection Using an Ensemble Approach
ACL 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
NeurIPS 2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
SemEval 2020
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
ACL 2020
SnapBoost: A Heterogeneous Boosting Machine
NeurIPS 2020
Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers
Interspeech 2020
SU-NLP at WNUT-2020 Task 2: The Ensemble Models
EMNLP 2020
TeamJUST at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Ensembling Techniques
SemEval 2020
Tencent Neural Machine Translation Systems for the WMT20 News Translation Task
EMNLP 2020
The Implicit Regularization of Ordinary Least Squares Ensembles
AISTATS 2020
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
AISTATS 2020
Volctrans Parallel Corpus Filtering System for WMT 2020
EMNLP 2020
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network
SemEval 2020
A Benchmark for Interpretability Methods in Deep Neural Networks
NeurIPS 2019