Copertina

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferbach, Damien, Bertrand, Quentin, Bose, Avishek Joey, Gidel, Gauthier
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning 68T10 I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neural Encoding for Image Recall: Human-Like Memory
di: Foussereau, Virgile, et al.
Pubblicazione: (2024)

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation
di: Qian, Wenxu, et al.
Pubblicazione: (2025)

VA-$π$: Variational Policy Alignment for Pixel-Aware Autoregressive Generation
di: Liao, Xinyao, et al.
Pubblicazione: (2025)

Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing
di: Komurcu, Kursat, et al.
Pubblicazione: (2026)

Do Generative Metrics Predict YOLO Performance? An Evaluation Across Models, Augmentation Ratios, and Dataset Complexity
di: Marian, Vasile, et al.
Pubblicazione: (2026)

Training a Student Expert via Semi-Supervised Foundation Model Distillation
di: Taghavi, Pardis, et al.
Pubblicazione: (2026)

CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method
di: Koh, Hyunseo, et al.
Pubblicazione: (2026)

Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization
di: Tu, Songjun, et al.
Pubblicazione: (2025)

The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
di: Lotfi, Ali, et al.
Pubblicazione: (2026)

NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
di: Huang, Zhihao, et al.
Pubblicazione: (2025)

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video
di: Moore, Alexander, et al.
Pubblicazione: (2025)

Optimized Gradient Clipping for Noisy Label Learning
di: Ye, Xichen, et al.
Pubblicazione: (2024)

Self-Attention And Beyond the Infinite: Towards Linear Transformers with Infinite Self-Attention
di: Roffo, Giorgio, et al.
Pubblicazione: (2026)

Predictive Modeling of Maritime Radar Data Using Transformer Architecture
di: Qesaraku, Bjorna, et al.
Pubblicazione: (2025)

AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
di: Cui, Zhipu, et al.
Pubblicazione: (2025)

MRI Brain Tumor Detection with Computer Vision
di: Krolik, Jack, et al.
Pubblicazione: (2025)

Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
di: Popov, Alexander, et al.
Pubblicazione: (2024)

CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models
di: Yao, Dongyu, et al.
Pubblicazione: (2024)

Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
di: Marcos-Manchón, Pablo, et al.
Pubblicazione: (2026)

Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
di: Thoreau, Romain, et al.
Pubblicazione: (2022)

The Power of Next-Frame Prediction for Learning Physical Laws
di: Winterbottom, Thomas, et al.
Pubblicazione: (2024)

WaveMAE: Wavelet decomposition Masked Auto-Encoder for Remote Sensing
di: Bernuzzi, Vittorio, et al.
Pubblicazione: (2025)

IDOL: Instant Photorealistic 3D Human Creation from a Single Image
di: Zhuang, Yiyu, et al.
Pubblicazione: (2024)

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
di: Liu, Zihan, et al.
Pubblicazione: (2025)

Short-Window Sliding Learning for Real-Time Violence Detection via LLM-based Auto-Labeling
di: Jung, Seoik, et al.
Pubblicazione: (2025)

Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
di: Buchnajzer, Zuzanna, et al.
Pubblicazione: (2024)

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
di: Islam, Md. Farhadul, et al.
Pubblicazione: (2024)

Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
di: Chang, Yu-Tang, et al.
Pubblicazione: (2025)

Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
di: Rajput, Vishal
Pubblicazione: (2026)

Method of UAV Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion
di: Lysyi, Andrii, et al.
Pubblicazione: (2025)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment
di: Cui, Hejie, et al.
Pubblicazione: (2024)

Adaptive Self-Training for Object Detection
di: Vandeghen, Renaud, et al.
Pubblicazione: (2022)

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation
di: Nauen, Tobias Christian, et al.
Pubblicazione: (2025)

Balanced conic rectified flow
di: Kim, Shin Seong, et al.
Pubblicazione: (2025)

Tell me why: Visual foundation models as self-explainable classifiers
di: Turbé, Hugues, et al.
Pubblicazione: (2025)

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
di: Sajjadi, Arash, et al.
Pubblicazione: (2025)

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures
di: Dobrzycki, Andrzej D., et al.
Pubblicazione: (2025)

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
di: Ott, Joachim, et al.
Pubblicazione: (2024)

Salient Concept-Aware Generative Data Augmentation
di: Zhao, Tianchen, et al.
Pubblicazione: (2025)

OR-VSKC: Resolving Visual-Semantic Knowledge Conflicts in Operating Rooms with Synthetic Data-Guided Alignment
di: Zhao, Weiyi, et al.
Pubblicazione: (2025)