Tag
decoding
- Aug 17, 2026 Encoder-Decoder Sequence Models and the Teacher Forcing Assumption How a pair of recurrent networks maps a sequence to a differently sized sequence, what the fixed-size conditioning vector costs, and why training with gold prefixes diverges from inference. deep learning
- Jan 24, 2024 Beam Search Decoding: Scoring, Length Normalization, and Pruning How a decoder searches over sequences instead of choosing per step, why accumulated log-probabilities need a length term, and how beam width trades compute for coverage. deep learning