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Elenco dei risultati

• Diffusion Models Beat GANs on Image Synthesis  + (4,806)
• Chain of Thought Prompting Elicits Reasoning in Large Language Models  + (4,960)
• On the difficulty of training recurrent neural networks  + (5,031)
• GPT-4 Technical Report  + (6,249)
• A Neural Probabilistic Language Model  + (7,032)
• LLaMA: Open and Efficient Foundation Language Models  + (7,677)
• Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank  + (7,749)
• Learning long-term dependencies with gradient descent is difficult  + (7,810)
• Training language models to follow instructions with human feedback  + (7,981)
• InstructGPT: Training Language Models to Follow Instructions with Human Feedback  + (7,981)
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks  + (8,961)
• High-Resolution Image Synthesis with Latent Diffusion Models  + (8,989)
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension  + (9,070)
• An algorithm for suffix stripping  + (9,554)
• The perceptron: A probabilistic model for information storage and organization in the brain  + (10,379)
• Deep Contextualized Word Representations  + (11,008)
• None  + (11,008)
• Finding Structure in Time  + (11,242)

• Convolutional Neural Networks for Sentence Classification  + (12,819)

• Learning Transferable Visual Models From Natural Language Supervision  + (17,491)
• Neural networks and physical systems with emergent collective computational abilities  + (18,582)
• RoBERTa: A Robustly Optimized BERT Pretraining Approach  + (20,714)
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation  + (21,477)
• Highly accurate protein structure prediction with AlphaFold  + (22,112)
• BLEU: a method for automatic evaluation of machine translation  + (24,705)
• Neural Machine Translation by Jointly Learning to Align and Translate  + (25,744)
• Generative Adversarial Nets  + (27,129)
• Language Models are Few-Shot Learners  + (29,330)
• Efficient Estimation of Word Representations in Vector Space  + (29,484)
• GloVe: Global Vectors for Word Representation  + (30,138)
• Going Deeper with Convolutions  + (40,893)
• Pre-training of Deep Bidirectional Transformers for Language Understanding  + (79,644)
• Long Short-Term Memory  + (80,233)
• Very deep convolutional networks for large-scale image recognition  + (91,784)
• Attention Is All You Need (2017)  + (100,986)
• Deep Residual Learning for Image Recognition  + (169,163)