:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Oh, Myeongjun, Kim, Gwangho, Lee, Sungyoon
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.30991
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
by: Yoon, Taehoon, et al.
Published: (2025)

Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
by: Kim, Gwangho, et al.
Published: (2026)

Gradient-Free Noise Optimization for Reward Alignment in Generative Models
by: Kim, Jeongsol, et al.
Published: (2026)

Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
by: Ye, Jinyan, et al.
Published: (2026)

STAG: Structural Test-time Alignment of Gradients for Online Adaptation
by: Shin, Juhyeon, et al.
Published: (2024)

Activation Reward Models for Few-Shot Model Alignment
by: Chai, Tianning, et al.
Published: (2025)

False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
by: Oh, Jiyong, et al.
Published: (2024)

TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting
by: Kim, Hyeseong, et al.
Published: (2026)

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
by: Zhang, Youjia, et al.
Published: (2025)

Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding
by: Kim, Tae Hun, et al.
Published: (2026)

Improving Diagnostic Accuracy for Oral Cancer with inpainting Synthesis Lesions Generated Using Diffusion Models
by: Lee, Yong Oh, et al.
Published: (2025)

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
by: Lee, Hagyeong, et al.
Published: (2024)

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs
by: Chung, Hyungjin, et al.
Published: (2025)

Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models
by: Choi, Changhyun, et al.
Published: (2025)

Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
by: Bahng, Hyojin, et al.
Published: (2025)

Test-time Alignment of Diffusion Models without Reward Over-optimization
by: Kim, Sunwoo, et al.
Published: (2025)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)

STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
by: Lee, Jaewoo, et al.
Published: (2023)

Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
by: Hu, Zijing, et al.
Published: (2025)

Equivariant Latent Alignment via Flow Matching under Group Symmetries
by: Kim, Sunghyun, et al.
Published: (2026)

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
by: Zhou, Linqi, et al.
Published: (2023)

Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
by: Kim, Subin, et al.
Published: (2025)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
by: Oh, Yunhak, et al.
Published: (2025)

Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
by: Kim, Jaihoon, et al.
Published: (2025)

Video Diffusion Alignment via Reward Gradients
by: Prabhudesai, Mihir, et al.
Published: (2024)

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
by: Deria, Ankan, et al.
Published: (2025)

Machine learning approach to brain tumor detection and classification
by: Oh, Alice, et al.
Published: (2024)

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting
by: Mallinar, Neil, et al.
Published: (2022)

GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
by: He, Haoyang, et al.
Published: (2025)

Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training
by: Kim, Myunsoo, et al.
Published: (2024)

SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
by: Lian, Jiesong, et al.
Published: (2025)

Reward-Forcing: Autoregressive Video Generation with Reward Feedback
by: Zhang, Jingran, et al.
Published: (2026)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)

HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
by: Kim, Minjun, et al.
Published: (2026)

Subtask-Aware Visual Reward Learning from Segmented Demonstrations
by: Kim, Changyeon, et al.
Published: (2025)

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
by: Lee, Yongmin, et al.
Published: (2024)

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
by: Weber, Ron Shapira, et al.
Published: (2025)

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
by: Liu, Qingming, et al.
Published: (2025)