Tag: adversarial machine learning
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int4 KV Cache Beats fp16 on Apple Silicon: Faster AI Performance
Discover how int4 KV cache outperforms fp16 on Apple Silicon, boosting AI model speed and efficiency with minimal quality loss and advanced quantization.
Temporal Functional Circuits for Accurate KAN Forecasting
Discover how Temporal Functional Circuits improve KAN forecasting with interpretable spline plots and enhanced prediction accuracy in time-series models.
Mitigating Cross-Task Interference in Multi-Task LLM Training
Discover BADIT, a novel method to reduce cross-task interference in multi-task instruct-tuning of large language models for improved performance.
EGA: Enhancing Frozen Encoders for Robust Vector Search
Discover how EGA adapts frozen encoders to improve vector search accuracy with bounded out-of-distribution degradation and robust unseen-class handling.
Nearly Optimal Attention Coresets for AI Efficiency
Discover how nearly optimal attention coresets improve AI efficiency by reducing memory use and boosting model performance in deep learning.