In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication
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- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→In-Kernel Aggregation and Broadcast Acceleration for Distributed CommunicationLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Momentum Contrast for Unsupervised Visual Representation LearningLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Librispeech: An ASR corpus based on public domain audio booksLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Connectionist temporal classificationLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Categorical Reparameterization with Gumbel-SoftmaxLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Gaussian Error Linear Units (GELUs)Legacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→TIMIT Acoustic-Phonetic Continuous Speech CorpusLegacy edge — source detail unavailable
- In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Neural Discrete Representation LearningLegacy edge — source detail unavailable
- Gaussian Error Linear Units (GELUs)→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Librispeech: An ASR corpus based on public domain audio booksLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Gaussian Error Linear Units (GELUs)Legacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- Momentum Contrast for Unsupervised Visual Representation Learning→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- Momentum Contrast for Unsupervised Visual Representation Learning→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→Librispeech: An ASR corpus based on public domain audio booksLegacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→Connectionist temporal classificationLegacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing | 2022 | 1,843 |
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Speech Recognition and Synthesis | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Music and Audio Processing | Computer Science |
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- supports1 author record(s) attached.
- supports57 reference(s) recorded.
- weakensThe DOI names 2026 but the record dates this to 2,020. One of the two is about a different paper.
- supportsA title is present.
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