Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions (2020.acl-main)
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| Challenge: | Experimental results show that N3 can out-perform previous natural-language based zero-shot learning methods across 4 different zero- shot image classification benchmarks. |
| Approach: | They propose a new paradigm for synthesizing task-specific neural networks from language descriptions and a generic pre-trained model from natural language. |
| Outcome: | The proposed model outperforms natural-language based zero-shot learning methods across 4 zero- shot image classification benchmarks. |
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