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Models

20,488 papers (23 classified directly here)

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Papers (including subtopics)

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception AAAI 2024 OneBit: Towards Extremely Low-bit Large Language Models NeurIPS 2024 One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications CVPR 2024 On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning EMNLP 2024 OneLLM: One Framework to Align All Modalities with Language CVPR 2024 One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits CoRL 2024 One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls CVPR 2024 One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation ACL 2024 One-Prompt to Segment All Medical Images CVPR 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 On Error Propagation of Diffusion Models ICLR 2024 One-Shot Open Affordance Learning with Foundation Models CVPR 2024 One-Shot Structure-Aware Stylized Image Synthesis CVPR 2024 One-Step Diffusion Distillation through Score Implicit Matching NeurIPS 2024 One-step Diffusion with Distribution Matching Distillation CVPR 2024 One-Step Effective Diffusion Network for Real-World Image Super-Resolution NeurIPS 2024 One Style Is All You Need To Generate a Video WACV 2024 One Thousand and One Pairs: A “novel” challenge for long-context language models EMNLP 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024 On Exact Inversion of DPM-Solvers CVPR 2024 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models ICLR 2024 On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models NeurIPS 2024