conftrace_

progressive training

45 papers

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Also known as

PT

Co-occurring keywords · papers mentioning both

transfer learning (7) diffusion model (6) knowledge distillation (5) curriculum learning (5) multimodal learning (4) self-supervised learning (4) model compression (4) vision transformer (3) image classification (3) prompt tuning (2)

Papers

Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation AAAI 2026 Dereflection Any Image with Diffusion Priors and Diversified Data AAAI 2026 GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search WACV 2026 Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering AAAI 2026 Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026 Progressive Supernet Training for Efficient Visual Autoregressive Modeling CVPR 2026 ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models AAAI 2026 Seeing Depth Through Frequency and Motion: A Progressive Training Paradigm for Monocular Depth Estimation CVPR 2026 DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance ICCV 2025 EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM ICML 2025 LayerLock: Non-collapsing Representation Learning with Progressive Freezing ICCV 2025 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework ICCV 2025 ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning EMNLP 2025 ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models IJCNLP 2025 Towards Robust Overlapping Speech Detection: A Speaker-Aware Progressive Approach Using WavLM Interspeech 2025 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images CVPR 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 Matryoshka Diffusion Models ICLR 2024 OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NeurIPS 2024 PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation AAAI 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024 Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs ICML 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024