Co-occurring keywords · papers mentioning both
Papers
Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective
CVPR 2026
Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models
CVPR 2026
Does YOLO Really Need to See Every Training Image in Every Epoch?
CVPR 2026
NTK-Guided Implicit Neural Teaching
CVPR 2026
Accelerating Diffusion-based Text-to-Speech Model Trainingwith Dual Modality Alignment
Interspeech 2025
Accelerating Training with Neuron Interaction and Nowcasting Networks
ICLR 2025
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
CVPR 2025
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training
EMNLP 2025
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
ICCV 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration
ICCV 2025
Accelerating Neural Field Training via Soft Mining
CVPR 2024
A General and Efficient Training for Transformer via Token Expansion
CVPR 2024
A Multi-Level Framework for Accelerating Training Transformer Models
ICLR 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
NeurIPS 2024
Fast Forwarding Low-Rank Training
EMNLP 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
NeurIPS 2024
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
ICLR 2024
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model
EMNLP 2024
Accelerating the Training of Video Super-resolution Models
AAAI 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping
AAAI 2023
Curvature-Aware Training for Coordinate Networks
ICCV 2023
Embedding Recycling for Language Models
EACL 2023
FFCV: Accelerating Training by Removing Data Bottlenecks
CVPR 2023
Learning to Boost Training by Periodic Nowcasting Near Future Weights
ICML 2023