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)

Steerable Scene Generation with Post Training and Inference-Time Search CoRL 2025 Steering Guidance for Personalized Text-to-Image Diffusion Models ICCV 2025 Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction ICLR 2025 Steering Protein Family Design through Profile Bayesian Flow ICLR 2025 SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity AISTATS 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion ICLR 2025 Step-Calibrated Diffusion for Biomedical Optical Image Restoration AAAI 2025 StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization EMNLP 2025 STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search CVPR 2025 STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models CVPR 2025 StickMotion: Generating 3D Human Motions by Drawing a Stickman CVPR 2025 Stiefel Flow Matching for Moment-Constrained Structure Elucidation ICLR 2025 STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection CVPR 2025 STIV: Scalable Text and Image Conditioned Video Generation ICCV 2025 STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs AAAI 2025 Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025 Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence ICML 2025 Stochastic Deep Restoration Priors for Imaging Inverse Problems ICML 2025 Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets ICML 2025 Stochastic Interpolants: A Unifying Framework for Flows and Diffusions JMLR 2025 Stochastic Interpolants for Revealing Stylistic Flows across the History of Art ICCV 2025 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025