“LLM decoding is bottlenecked for large batches and long contexts by loading the key-value (KV) cache from high-bandwidth memory, which inflates per-token latency, while the sequential nature of ...
[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...
This project presents a hybrid lossless compression system that combines an LSTM-based Recurrent Neural Network (RNN) with Arithmetic Coding. Traditional algorithms like Shannon–Fano use static ...
Abstract: In this paper, residual redundancy in compressed videos is exploited to alleviate transmission errors using joint source channel arithmetic decoding. A new method is proposed to estimate a ...
Abstract: In order to improve the error resistance and security of JPEG2000 standard, a joint source channel and security arithmetic coding/decoding scheme for EBCOT ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback