Data-Centric Audio Pre-Training for Strong Supervision
Explore a data-centric approach to audio pre-training using strong supervision, advanced captioning, and unified tagging for better audio representation.
ETA-VLA: Efficient Token Adaptation for Vision-Language-Action Models
Discover ETA-VLA, a method that reduces computation in Vision-Language-Action models by 61% while maintaining 94% accuracy for autonomous driving.
How Behavioral Variance Impacts AI Agent Accuracy
Explore how behavioral variance affects AI agent accuracy and consistency, revealing key insights for reliable LLM deployment in production environments.
CANGuard: Hybrid CNN-GRU Model for CAN Bus Intrusion Detection
CANGuard uses a hybrid CNN-GRU-attention model to detect intrusions in in-vehicle CAN networks, enhancing security in smart transportation systems.
A-SelecT: Optimized Timestep Selection for Diffusion Transformers
Discover A-SelecT, a method for dynamic timestep selection that boosts Diffusion Transformer efficiency and representation learning performance.