conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis NeurIPS 2024 UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion CVPR 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NeurIPS 2024 UDPM: Upsampling Diffusion Probabilistic Models NeurIPS 2024 UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs CVPR 2024 UGPNet: Universal Generative Prior for Image Restoration WACV 2024 UltraEdit: Instruction-based Fine-Grained Image Editing at Scale NeurIPS 2024 UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks NeurIPS 2024 UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures CVPR 2024 UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation COLING 2024 Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation ICLR 2024 Uncertainty-Aware GAN for Single Image Super Resolution AAAI 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Understanding and Improving Training-free Loss-based Diffusion Guidance NeurIPS 2024 Understanding Diffusion Models by Feynman’s Path Integral ICML 2024 Understanding Entropic Regularization in GANs JMLR 2024 Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NeurIPS 2024 Understanding Hallucinations in Diffusion Models through Mode Interpolation NeurIPS 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing EMNLP 2024 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks NeurIPS 2024 Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data AAAI 2024