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)

Deeply Supervised Flow-Based Generative Models ICCV 2025 Deep MMD Gradient Flow without adversarial training ICLR 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning EMNLP 2025 DeepShade: Enable Shade Simulation by Text-conditioned Image Generation IJCAI 2025 DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI 2025 Deep-Union Completion AAAI 2025 Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025 Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics ACL 2025 DeFoG: Discrete Flow Matching for Graph Generation ICML 2025 DeFSS: Image-to-Mask Denoising Learning for Few-shot Segmentation ICCV 2025 Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography ICCV 2025 Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network AAAI 2025 Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models COLING 2025 Demeter: A Parametric Model of Crop Plant Morphology from the Real World ICCV 2025 Democratizing High-Fidelity Co-Speech Gesture Video Generation ICCV 2025 Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens ICCV 2025 Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025 DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement AAAI 2025 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training ICLR 2025 Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration ICLR 2025 Denoising Autoregressive Transformers for Scalable Text-to-Image Generation ICLR 2025 Denoising Diffusion Models are Good General Gaze Feature Learners IJCAI 2025 Denoising Diffusion Models for High-Resolution Microscopy Image Restoration WACV 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025