Tag: causal machine learning
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LeWorldModel: Stable End-to-End Predictive Architecture
Discover LeWorldModel, a stable end-to-end joint-embedding predictive architecture from pixels offering efficient AI world modeling and faster planning.
FedPBS: Robust Federated Learning for Non-IID Data
Discover FedPBS, a federated learning model enhancing personalized training and stability for non-IID data with dynamic batch sizing and proximal correctio...
AceGRPO: Adaptive Policy Optimization for Autonomous MLE
Discover AceGRPO, an adaptive curriculum method boosting autonomous machine learning with enhanced policy optimization and dynamic task sampling.
ProFit: Enhancing SFT with Probability-Guided Token Selection
Discover ProFit, a novel method improving Supervised Fine-Tuning by masking low-probability tokens to boost LLM alignment and reasoning performance.
ODMA: Efficient Memory Allocation for LLMs on LPDDR Accelerators
Discover ODMA, an on-demand memory allocation strategy improving LLM serving efficiency on LPDDR-class accelerators with better utilization and throughput.