Index of papers
69 reviewed papers · 30 tags
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BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
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Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
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QLoRA: Efficient Finetuning of Quantized LLMs
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Classifier-Free Diffusion Guidance
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Flamingo: a Visual Language Model for Few-Shot Learning
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
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High-Resolution Image Synthesis with Latent Diffusion Models
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Large Language Models are Zero-Shot Reasoners
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Training Compute-Optimal Large Language Models
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Training Language Models to Follow Instructions with Human Feedback
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Diffusion Models Beat GANs on Image Synthesis
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Improved Denoising Diffusion Probabilistic Models
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Learning Transferable Visual Models from Natural Language Supervision
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LoRA: Low-Rank Adaptation of Large Language Models
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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Zero-Shot Text-to-Image Generation
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An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Denoising Diffusion Implicit Models
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Denoising Diffusion Probabilistic Models
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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Language Models are Few-Shot Learners
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Scaling Laws for Neural Language Models
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Score-Based Generative Modeling through Stochastic Differential Equations
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A Style-Based Generator Architecture for Generative Adversarial Networks
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Decoupled Weight Decay Regularization
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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Language Models are Unsupervised Multitask Learners
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A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-Play
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Deep Contextualized Word Representations
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Group Normalization
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Improving Language Understanding by Generative Pre-Training
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Attention Is All You Need
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Deep Reinforcement Learning from Human Preferences
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Densely Connected Convolutional Networks
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Density Estimation using Real NVP
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Instance Normalization: The Missing Ingredient for Fast Stylization
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Mask R-CNN
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Proximal Policy Optimization Algorithms
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Deep Residual Learning for Image Recognition
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Layer Normalization
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Mastering the Game of Go with Deep Neural Networks and Tree Search
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You Only Look Once: Unified, Real-Time Object Detection
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Going Deeper with Convolutions
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Human-Level Control through Deep Reinforcement Learning
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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Adam: A Method for Stochastic Optimization
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
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Generative Adversarial Networks
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GloVe: Global Vectors for Word Representation
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
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Neural Machine Translation by Jointly Learning to Align and Translate
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Sequence to Sequence Learning with Neural Networks
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Auto-Encoding Variational Bayes
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Efficient Estimation of Word Representations in Vector Space
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Representation Learning: A Review and New Perspectives
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ImageNet Classification with Deep Convolutional Neural Networks
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A Fast Learning Algorithm for Deep Belief Nets
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Gradient-based learning applied to document recognition
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Long Short-Term Memory
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Learning Representations by Back-propagating Errors
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The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain