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Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling
Arxiv
0+阅读 · 10月16日
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
Arxiv
0+阅读 · 10月13日
Adaptive Execution Scheduler for DataDios SmartDiff
Arxiv
0+阅读 · 10月9日
GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control
Arxiv
0+阅读 · 10月8日
DYNAMIX: RL-based Adaptive Batch Size Optimization in Distributed Machine Learning Systems
DYNAMIX: RL-based Adaptive Batch Size Optimization in Distributed Machine Learning Systems
Arxiv
0+阅读 · 10月9日
Efficient Distributed Training via Dual Batch Sizes and Cyclic Progressive Learning
Arxiv
0+阅读 · 9月30日
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
Arxiv
0+阅读 · 9月27日
SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
Arxiv
0+阅读 · 9月29日
Fisher-Orthogonal Projection Methods for Natural Gradient Descent with Large Batches
Arxiv
0+阅读 · 8月19日
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
Arxiv
0+阅读 · 4月2日
Batch List-Decodable Linear Regression via Higher Moments
Arxiv
0+阅读 · 3月12日
BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression
Arxiv
0+阅读 · 3月4日
Updating Graph-based Index with Fine-grained Blocks for Large-scale Streaming High-dimensional Vectors
Arxiv
0+阅读 · 3月1日
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Arxiv
0+阅读 · 2月26日
Accelerated Training on Low-Power Edge Devices
Arxiv
0+阅读 · 2月25日
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