Decoder
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Benchmarks
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Most implemented
Attention Is All You Need
Neural Machine Translation by Jointly Learning to Align and Translate
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Searching for MobileNetV3
Masked Autoencoders Are Scalable Vision Learners
Papers
LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression
Existing AI-based point cloud compression methods struggle with dependence on specific training data distributions, which limits their real-world deployment. Implicit Neural Representation (INR) methods solve the above p…
DecoderModel CompressionMaking Language Model a Hierarchical Classifier and Generator
Decoder-only language models, such as GPT and LLaMA, generally decode on the last layer. Motivated by human's hierarchical thinking capability, we propose that a hierarchical decoder architecture could be built with diff…
DecoderLanguage ModelingLanguage Modellingmodel+3Boosting Team Modeling through Tempo-Relational Representation Learning
Team modeling remains a fundamental challenge at the intersection of Artificial Intelligence and the Social Sciences. Social Science research emphasizes the need to jointly model dynamics and relations, while practical a…
DecoderRepresentation LearningThe Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting
Transformer-based models have recently become dominant in Long-term Time Series Forecasting (LTSF), yet the variations in their architecture, such as encoder-only, encoder-decoder, and decoder-only designs, raise a cruci…
DecoderTime SeriesTime Series ForecastingContext-Aware Search and Retrieval Over Erasure Channels
This paper introduces and analyzes a search and retrieval model that adopts key semantic communication principles from retrieval-augmented generation. We specifically present an information-theoretic analysis of a remote…
DecoderRetrievalRetrieval-augmented GenerationSemantic CommunicationSeq vs Seq: An Open Suite of Paired Encoders and Decoders
The large language model (LLM) community focuses almost exclusively on decoder-only language models, since they are easier to use for text generation. However, a large subset of the community still uses encoder-only mode…
DecoderLarge Language ModelRetrievalText Generation