Abstract: Quantization-Aware Training (QAT) for vision transformers relies on expensive retraining to recover accuracy loss in non-linear layer quantization, which limits their use in ...
Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...
Baseline transformer_baseline.py Sinusoidal PE (added to embedding) Standard Scaled Dot-Product RoFormer transformer.py RoPE (rotation applied to Q·K) Standard Scaled Dot-Product Adds a sinusoidal ...
A cinematic obsessive with the filmic palate of a starving raccoon, Rob London will watch pretty much anything once. With a mind like a steel trap, he's an endless fount of movie and TV trivia, borne ...
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