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Home/Authors/Rio Yokota

Rio Yokota

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 8:58 AM AMS

10

papers

210

total citations

papers (10)

RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering

Variational Learning is Effective for Large Deep Networks

Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

Pre-training Vision Transformers with Very Limited Synthesized Images

Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization

Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation

Variational Learning Finds Flatter Solutions at the Edge of Stability

NEURIPS 2025arXiv

Replacing Labeled Real-Image Datasets With Auto-Generated Contours

Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models