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Models

20,488 papers (23 classified directly here)

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Papers (including subtopics)

Scaling Properties of Speech Language Models EMNLP 2024 Scaling Rectified Flow Transformers for High-Resolution Image Synthesis ICML 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Sentence Embeddings with Large Language Models EMNLP 2024 Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% NeurIPS 2024 Scaling Tractable Probabilistic Circuits: A Systems Perspective ICML 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 Scaling Up Dynamic Human-Scene Interaction Modeling CVPR 2024 Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild CVPR 2024 SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing CVPR 2024 SceneCraft: Layout-Guided 3D Scene Generation NeurIPS 2024 SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models IJCAI 2024 SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout NeurIPS 2024 Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation NeurIPS 2024 SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors CVPR 2024 Scene Text Image Super-Resolution Based on Text-Conditional Diffusion Models WACV 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing NeurIPS 2024 Schema-Driven Information Extraction from Heterogeneous Tables EMNLP 2024 Schrodinger Bridge Flow for Unpaired Data Translation NeurIPS 2024 SciCode: A Research Coding Benchmark Curated by Scientists NeurIPS 2024 SciMON: Scientific Inspiration Machines Optimized for Novelty ACL 2024 SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image CVPR 2024 SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions ICLR 2024