Co-occurring keywords · papers mentioning both
Papers
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
ICCV 2025
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
ACL 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
IJCAI 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
CVPR 2025
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach
AAAI 2025
Population Normalization for Federated Learning
CVPR 2025
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
ICLR 2025
The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence
ACL 2025
Understanding Silent Data Corruption in LLM Training
ACL 2025
Adapted Weighted Aggregation in Federated Learning
AAAI 2024
A Primal-Dual Algorithm for Hybrid Federated Learning
AAAI 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning
EMNLP 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
NeurIPS 2024
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains
IJCAI 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience
NeurIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NeurIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NeurIPS 2024
Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models
EMNLP 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization
NeurIPS 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
AAAI 2024
RepAn: Enhanced Annealing through Re-parameterization
CVPR 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
NeurIPS 2024
The GAN is dead; long live the GAN! A Modern GAN Baseline
NeurIPS 2024
Efficient Dynamic Batch Adaptation (Student Abstract)
AAAI 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
NeurIPS 2023