Notion : https://bearstew.notion.site/BearStew-Paper-Study-6aa195dfc3f84d849c4e63b12da689b9 Presentation Paper Conference Year Task Presenter Presentation References Attention is all you need NeurIPS '17 NLP 임동주 📎 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT) ICLR '21 CV 김나훈 📎 BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding NAACL '19 NLP 윤세환 📎 GPT: Improving Language Understanding by Generative Pre-Training '18 NLP 이하준 📎 Pointer Networks NeurIPS '15 김현우 📎 LLaMA: Open and Efficient Foundation Language Models '23 NLP 김수 📎 RoFormer: Enhanced Transformer with Rotary Position Embedding '21 NLP 윤세환 📎 Donut: Document Understanding Transformer without OCR ECCV '22 CV 김나훈 📎 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows ICCV '21 CV 임동주 📎 Flamingo: A Visual Language Model for Few-Shot Learning NeurIPS '22 NLP 이하준 📎 Mistral AI '23 NLP 김수 📎 Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks EMNLP '19 NLP 임동주 📎 ODIN: Enhancing the Reliability of Out-of-Distribution Image Detection in Neural Networks ICLR '18 OOD 김나훈 📎 Image Style Transfer using Convolutional Neural Networks CVPR '16 CV 윤세환 📎 wav2vec2.0: A Framework for Self-Supervised Learning of Speech Representations NeurIPS '20 STT 김수 📎 Can Large Language Models Be an Alternative to Human Evaluations? '23 NLP 이하준 📎 Neural Speech Synthesis with Transformer Network AAAI '19 TTS 임동주 📎 Building robust Korean speech recognition model by fine-tuning large pretrained model 한국음성학회지 '23 STT 최갑주 📎 Make-A-Video: Text-to-Video Generation withou Text-Video Data '22 CV 김나훈 📎 Denoising Diffusion Probabilistic Models NeurIPS '20 CV 윤세환 📎 Learning Transferable Visual Models From Natural Language Supervision Openai '21 CV 이하준 📎 Robust Speech Recognition via Large-Scale Weak Supervision '22 STT 김수 📎 TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data '22 Anomaly Detection 임동주 📎 Neural Machine Translation for Mathematical Formulae ACL '23 NLP 최갑주 📎 Model-Agnostic Meta-Learning for Fast Adaption of Deep Networks PMLR '17 Meta Learning 김나훈 📎 1, 2, 3 Structured Denoising Diffusion Models in Discrete State-Spaces (D3PM) NeurIPS '21 LG 윤세환 📎 SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling NAACL '24 LLM 이하준 📎 Session-Based Recommendation with Graph Neural Networks AAAI '19 Recommendation 임동주 📎 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NeurIPS '20 NLP 최갑주 📎 한글_정리본 Efficient Memory Management for Large Language Model Serving with PagedAttention SOSP '23 LLM, Optimization 김나훈 📎 1, 2, 3, 4 High-Resolution Image Synthesis with Latent Diffusion Models CVPR '22 CV 윤세환 📎 TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models '21 CV 김수 📎 Masked Autoencoders as Spatiotemporal Learners NeurIPS '22 CV, Video 김나훈 📎 1 ReLU Strikes Back:Exploiting Activation Sparsity in Large Language Models ICLR '24 LLM 최갑주 📎 Make Yout LLM Fully Utilize the Context arXiv '24 LLM 윤세환 📎 논문제목 학회 '연도 분야 발표자 발표자료 참고자료