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Collections including paper arxiv:2404.10407
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 45 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44
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Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Paper • 2110.05909 • Published • 2 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 6 -
Wide Residual Networks
Paper • 1605.07146 • Published • 2 -
Comprehensive Survey of Model Compression and Speed up for Vision Transformers
Paper • 2404.10407 • Published • 1
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 3 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 6 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2