京东 11.11 红包
十分钟看懂谷歌W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
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[Long Review] GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
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十分钟看懂谷歌铁布衫BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised ...
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十分钟看懂脸书太极拳法Wav2Vec2.0 -- 语音预训练模型就像绝命毒师老白教杰西
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详解OpenAI GPT-3: Language Models are Few-Shot Learners(2/3)
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[Long Review] Conformer: Convolution-augmented Transformer for Speech Recogniti
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[Long Review] Xception: Deep Learning with Depthwise Separable Convolution
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[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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十分钟看懂脸书虎爪绝户手 - 虎BERT - HuBERT: Self-Supervised Speech Representation Learning
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[Long Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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十分钟看懂谷歌金钟罩Transformer以及语音的LAS模型
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[Long Review] Deduplicating Training Data Makes Language Models Better
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语音文本技术论文阅读 XLS-R: Self-supervised Cross-lingual Speech Representation Learning a
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[Long Review]Switch Transformers: Scaling to Trillion Parameter Models with
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详解AudioLM: a Language Modeling Approach to Audio Generation
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语音文本技术论文阅读 RefineGAN - Universally Generating Waveform Better than Ground ...
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CV论文阅读OpenAI CLIP(2/3):Learning Transferable Visual Models From Natural Language
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语音文本技术论文阅读 Improving Speech Recognition Accuracy of Local POI Using Geographical
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语音文本技术论文阅读 SNRi Target Training for Joint Speech Enhancement and Recognition
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语音文本技术论文阅读 Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recogni
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三分钟搞定ChatGPT
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[Short Review] Xception: Deep Learning with Depthwise Separable Convolution
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[Short Review] Axial Attention in Multidimensional Transformers
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语音NLP论文阅读 Token-level Sequence Labeling for SLU using Compositional E2E Models
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语音文本技术论文阅读 RNN-T: Sequence Transduction with Recurrent Neural Networks
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[Short Review] Deduplicating Training Data Makes Language Models Better
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语音文本技术论文阅读 Branchformer: Parallel MLP-Attention Architectures and E-Branchformer
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十分钟看懂微软大力金刚掌WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack
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福建舰上面的雷达是如何工作的？和语音波束处理什么关系？
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[Short Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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[Long Review] Axial Attention in Multidimensional Transformers
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[Long Review]Kullback-Leibler Divergence: Listen, Attend, Spell and Adapt ASR
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用NLP培养你的“男性能量”：强大的现实感。成为自然吸引女人的男人。
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[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
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详解微软零样本语音合成VALL-E
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击败OpenAI GPT-4的Claude 3有什么秘密武器？Opus, Sonnet, and Haiku Models, Constitutional AI
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语音文本技术论文阅读 Scaling Laws for Neural Language Models
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CV论文阅读OPENAI CLIP(1/3):Learning Transferable Visual Models From Natural Language
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超全超简单！一口气学完CNN、RNN、GAN、GNN、DQN、Transformer、LSTM、DBN等八大深度学习神经网络算法！存下吧，真的比啃书快多了！！
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语音文本技术论文阅读 OpenAI最新的Whisper ASR也会像GPT-3一样火起来吗？
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语音文本技术论文阅读 UniSpeech-SAT - Universal Speech Representation Learning with Speaker