Tag: artificial neural networks
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Emergence Transformer: Enhancing Coherence with Temporal Attention
Discover how the Emergence Transformer uses dynamical temporal attention to boost coherence in complex systems and enable continual learning.
AI Engines for Extreme-Edge Scientific Computing: Design Tips
Explore design rules and optimizations for deploying neural networks on AI Engines in extreme-edge scientific computing with low latency and high throughpu...
Product-of-Experts Training Cuts Dataset Bias in NLI
Discover how Product-of-Experts training reduces dataset artifacts and improves accuracy in Natural Language Inference models for better reasoning.
Neural Language Interpreter for Gradient-Based Program Synthesis
Discover how Neural Language Interpreter enables efficient gradient-based program synthesis with compositional generalization and rapid test-time adaptatio...
Enhancing LLM Security with Sparse Autoencoders
Discover how integrating Sparse Autoencoders boosts Large Language Models' robustness, reducing jailbreak attacks by up to 5x without altering weights.