十分钟看懂谷歌易筋经BERT
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[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation
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详解微软零样本语音合成VALL-E
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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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[Long Review] Axial Attention in Multidimensional Transformers
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谷歌大神科学家独家深度揭秘端到端自动语音识别算法与系统, [第一部分]:总述与建模
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CV论文阅读OPENAI CLIP(1/3):Learning Transferable Visual Models From Natural Language
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十分钟看懂谷歌W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
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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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十分钟看懂谷歌铁布衫BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised ...
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详解OpenAI GPT-3: Language Models are Few-Shot Learners（1/3）
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[Long Review]Kullback-Leibler Divergence: Listen, Attend, Spell and Adapt ASR
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[Long Review] GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
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详解OpenAI GPT-3: Language Models are Few-Shot Learners(2/3)
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[Long Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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语音文本技术论文阅读 One-Edit-Distance Network (OEDN) in Mispronunciation Detection & ASR
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必读：生成式AI Sora相关的Normalizing Flows
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[Long Review] Deduplicating Training Data Makes Language Models Better
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[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
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生成式AI神级论文：谷歌DeepMind的Variational Autoencoder (VAE) and Reparameterization
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[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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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 XLS-R: Self-supervised Cross-lingual Speech Representation Learning a
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福奇博士小声嘟囔议员蠢货，结果忘记关麦克风 -- analysis from a research perspective
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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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[Long Review] Towards Zero-Label Language Learning
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三分钟搞定ChatGPT
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Boris Johnson约翰逊辞职演讲 - 附双麦克风使用分析
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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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语音文本技术论文阅读 Scaling Laws for Neural Language Models
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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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语音文本技术论文阅读 RefineGAN - Universally Generating Waveform Better than Ground ...
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[Short Review]Conformer Convolution-augmented Transformer for Speech Recognition
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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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[Long Review]Switch Transformers: Scaling to Trillion Parameter Models with
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深度学习能靠造假发论文么？附80个即插即用的模块+论文模板+论文讲故事的方法和参考
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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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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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从入门到提示词工程师：全网最通俗易懂Prompt-Learning提示词学习教程！草履虫都学的会！
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还不会写论文？记好这个模板往里填！
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[Short Review] Deduplicating Training Data Makes Language Models Better