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Foundation Models

4,860 papers

Papers per year

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2
123
1821
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Papers

BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task EMNLP 2020
NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets EMNLP 2020
DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks EMNLP 2020
IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT EMNLP 2020
SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models EMNLP 2020
MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model IJCAI 2020
From Statistical Relational to Neuro-Symbolic Artificial Intelligence IJCAI 2020
Evolved Speech-Transformer: Applying Neural Architecture Search to End-to-End Automatic Speech Recognition INTERSPEECH 2020
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification INTERSPEECH 2020
To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection INTERSPEECH 2020
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings SEMEVAL 2020
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes SEMEVAL 2020
ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION) SEMEVAL 2020
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning SEMEVAL 2020
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE SEMEVAL 2020
CS-NLP Team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task SEMEVAL 2020
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension and Generation SEMEVAL 2020
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
NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation SEMEVAL 2020
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation SEMEVAL 2020
UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a SEMEVAL 2020
YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU SEMEVAL 2020