Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Attention is All you Need

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Deformable DETR: Deformable Transformers for End-to-End Object Detection

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Support-Vector Networks

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Learning Deep Architectures for AI

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

An Introduction to Support Vector Machines

Model-agnostic meta-learning for fast adaptation of deep networks

Semi-supervised learning using Gaussian fields and harmonic functions

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

Support vector machine learning for interdependent and structured output spaces

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data

Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference

Learning Transferable Visual Models From Natural Language Supervision

Unified Pre-training for Program Understanding and Generation

Semantic memory: A review of methods, models, and current challenges

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios.

Foundations of Statistical Natural Language Processing

A framework for representing knowledge

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognitio

Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language

Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks