SMOTE: Synthetic Minority Over-sampling Technique
Paper
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1106.1813
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Published
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1
papers
machine learning and neural network papers 📜
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Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
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Distributed Representations of Sentences and Documents
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Sequence to Sequence Learning with Neural Networks
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Neural Machine Translation by Jointly Learning to Align and Translate
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Text Understanding from Scratch
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XGBoost: A Scalable Tree Boosting System
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Attention Is All You Need
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
Energy and Policy Considerations for Deep Learning in NLP
Paper • 1906.02243 • Published • 1 -
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Paper • 1906.08237 • Published -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 11 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 6 -
AR-Net: A simple Auto-Regressive Neural Network for time-series
Paper • 1911.12436 • Published • 1 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 1 -
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Paper • 2003.10555 • Published -
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Paper • 1606.05250 • Published • 3 -
Mish: A Self Regularized Non-Monotonic Activation Function
Paper • 1908.08681 • Published • 1 -
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Paper • 2101.00027 • Published • 6 -
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Paper • 2101.03961 • Published • 13 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 24 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 6 -
NeuralProphet: Explainable Forecasting at Scale
Paper • 2111.15397 • Published • 1 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 11 -
Searching for Activation Functions
Paper • 1710.05941 • Published • 1