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Models

20,488 papers (23 classified directly here)

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Papers (including subtopics)

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile AAAI 2024 Specular Object Reconstruction Behind Frosted Glass by Differentiable Rendering WACV 2024 Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration NeurIPS 2024 Speech Self-Supervised Learning Using Diffusion Model Synthetic Data ICML 2024 SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NeurIPS 2024 SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model AAAI 2024 Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution AAAI 2024 SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream CVPR 2024 Spiking Denoising Diffusion Probabilistic Models WACV 2024 SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024 SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM CVPR 2024 SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation NeurIPS 2024 SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NeurIPS 2024 sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows ICLR 2024 SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling CVPR 2024 SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening NeurIPS 2024 SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation AAAI 2024 SSP: Semi-Signed Prioritized Neural Fitting for Surface Reconstruction From Unoriented Point Clouds WACV 2024 SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation CVPR 2024 SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space ACL 2024 Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics NeurIPS 2024 Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective NeurIPS 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process ICML 2024 Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024 Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ICLR 2024