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conftrace_

model convergence

40 papers

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