Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
In this paper, we introduce ML-Decoder, a new attention-based classification head. ML-Decoder predicts the existence of class labels via queries, and enables better utilization of spatial data ...
Read full article about: Zhipu AI launches ZCode to challenge Claude Code and OpenAI Codex at a fraction of the cost Z.ai is already competing with Western models on price with GLM-5.2, and now it's ...
We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...
Read full article about: Cohere Transcribe Arabic is an open-source model built for Arabic's toughest transcription problems Cohere has released Cohere Transcribe Arabic, an open-source model built ...
Abstract: A new method is given for performing approximate maximum-likelihood (ML) decoding of an arbitrary binary linear code based on observations received from any discrete memoryless symmetric ...
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