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Mar 31, 2024
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Mar 31, 2024
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Dec 23, 2024
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Mar 31, 2024
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Mar 31, 2024
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Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Paper • 2306.12929 • Published • 13 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Paper • 2310.08041 • Published • 1 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630
Collection by Mar 31, 2024
Collection by Mar 31, 2024
Collection by Dec 23, 2024
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WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
Paper • 2303.00747 • Published • 6 -
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Paper • 2311.14836 • Published • 2 -
SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
Paper • 2308.11466 • Published • 1 -
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
Paper • 2108.06209 • Published • 1
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Mar 2
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Collection by Mar 31, 2024
Collection by Mar 31, 2024
Collection by Mar 31, 2024
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Collection by Dec 23, 2024
Collection by Dec 23, 2024
-
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
Paper • 2303.00747 • Published • 6 -
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Paper • 2311.14836 • Published • 2 -
SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
Paper • 2308.11466 • Published • 1 -
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
Paper • 2108.06209 • Published • 1
Collection by Mar 31, 2024
Collection by Mar 2
Collection by Mar 31, 2024
-
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Paper • 2306.12929 • Published • 13 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Paper • 2310.08041 • Published • 1 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630
Collection by Mar 2