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Elenco dei risultati

• Generating Sequences With Recurrent Neural Networks  + (2014)
• Going Deeper with Convolutions  + (2014)
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation  + (2014)
• GloVe: Global Vectors for Word Representation  + (2014)
• Neural Machine Translation by Jointly Learning to Align and Translate  + (2014)
• Convolutional Neural Networks for Sentence Classification  + (2014)
• FANNG: Fast Approximate Nearest Neighbour Graphs  + (2014)
• A Neural Algorithm of Artistic Style (2015)  + (2015)
• The Unreasonable Effectiveness of Recurrent Neural Networks  + (2015)
• Deep Unsupervised Learning using Nonequilibrium Thermodynamics  + (2015)
• Deep Residual Learning for Image Recognition  + (2015)
• Very deep convolutional networks for large-scale image recognition  + (2015)
• Automatic Stylistic Composition of Bach Chorales With Deep LSTM (2017)  + (2016)
• Attention Is All You Need (2017)  + (2017)
• Reading Wikipedia to Answer Open-Domain Questions  + (2017)
• DeepJ: Style-Specific Music Generation (2018)  + (2018)
• Deep Contextualized Word Representations  + (2018)
• None  + (2018)
• The Natural Language Decathlon: Multitask Learning as Question Answering  + (2018)
• The Schema-Guided Dialogue Dataset  + (2019)
• Pre-training of Deep Bidirectional Transformers for Language Understanding  + (2019)
• How to Fine Tune Bert for Sequence Classification?  + (2019)
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks  + (2019)
• A Large-Scale Document-Level Relation Extraction Dataset  + (2019)
• HellaSwag: Can a Machine Really Finish Your Sentence?  + (2019)
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension  + (2019)
• RoBERTa: A Robustly Optimized BERT Pretraining Approach  + (2019)
• Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer  + (2020)
• XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization  + (2020)
• Highly accurate protein structure prediction with AlphaFold  + (2020)
• Language Models are Few-Shot Learners  + (luglio 22, 2020)

• Dense Passage Retrieval for Open-Domain Question Answering  + (2021)
• Diffusion Models Beat GANs on Image Synthesis  + (2021)
• Guiding Attention with Evidence for Improving Document-Level Relation Extraction (DREEAM)  + (2021)
• Learning Transferable Visual Models From Natural Language Supervision  + (2021)
• M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation  + (2021)
• Massive Multitask Language Understanding  + (2021)
• Prefix-tuning: Optimizing continuous prompts for generation  + (2021)
• Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index  + (2021)
• Survey of Hallucination in Natural Language Generation  + (2021)
• Taming Transformers for High-Resolution Image Synthesis  + (2021)
• Training Compute-Optimal Large Language Models  + (2021)
• Unsupervised Dense Information Retrieval with Contrastive Learning  + (2021)
• ValueNet: A New Dataset for Human Value Driven Dialogue System  + (2021)
• Vision Transformers for Dense Prediction  + (2021)
• What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?  + (2021)

• Training language models to follow instructions with human feedback  + (2022)
• Classifier-Free Diffusion Guidance  + (2022)
• High-Resolution Image Synthesis with Latent Diffusion Models  + (2022)
• LAION-5B: An open large-scale dataset for training next generation image-text models  + (2022)
• InstructGPT: Training Language Models to Follow Instructions with Human Feedback  + (2022)
• Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets  + (2022)
• Chain of Thought Prompting Elicits Reasoning in Large Language Models  + (2022)
• Crawling the Internal Knowledge-Base of Language Models  + (2022)
• Is Power-Seeking AI an Existential Risk?  + (2022)
• Deep Reinforcement Learning from Human Preferences  + (2023)
• MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation  + (2023)
• GPT-4 Technical Report  + (2023)
• Gorilla: Large Language Model Connected with Massive APIs  + (2023)
• LLaMA: Open and Efficient Foundation Language Models  + (2023)
• Technical Report, Palm 2  + (2023)
• Are We Done with MMLU?  + (2023)
• How Many Data Points is a Prompt Worth?  + (2023)
• Emergent Abilities of Large Language Models  + (2023)