sample_data.csv

Title,Abstract,DOI
Deep Learning for Natural Language Processing,This paper surveys deep learning methods applied to natural language processing tasks including text classification and sentiment analysis. We review transformer architectures and their applications.,10.1000/sample.001
BERT: Pre-training of Deep Bidirectional Transformers,We introduce BERT a language representation model designed to pre-train deep bidirectional representations from unlabeled text. BERT achieves state-of-the-art results on NLP benchmarks.,10.1000/sample.002
Attention Is All You Need,The dominant sequence transduction models are based on complex recurrent or convolutional neural networks. We propose a new network architecture the Transformer based solely on attention mechanisms.,10.1000/sample.003
GPT-3: Language Models are Few-Shot Learners,We train GPT-3 an autoregressive language model with 175 billion parameters and test performance on few-shot tasks. GPT-3 achieves strong performance on NLP datasets.,10.1000/sample.004
Knowledge Graph Embedding for Link Prediction,We study the problem of learning embeddings for knowledge graphs. Our method learns entity and relation embeddings jointly and achieves top results on link prediction benchmarks.,10.1000/sample.005
Reinforcement Learning for Robotics,This work presents a comprehensive study of reinforcement learning algorithms applied to robotic manipulation tasks. We evaluate policy gradient methods and Q-learning approaches.,10.1000/sample.006
Graph Neural Networks for Drug Discovery,We present a graph neural network framework for molecular property prediction and drug-target interaction modeling in computational drug discovery.,10.1000/sample.007
Computer Vision with Convolutional Networks,We present advances in image recognition using deep convolutional neural networks trained on large-scale datasets. Our model achieves top accuracy on ImageNet classification.,10.1000/sample.008
Federated Learning for Privacy-Preserving AI,We propose federated learning approaches that enable machine learning model training across decentralized devices while preserving user privacy.,10.1000/sample.009
Quantum Computing Algorithms,This paper reviews quantum algorithms including Shor's factoring algorithm and Grover's search algorithm and their implications for cryptography and optimization.,10.1000/sample.010