I am student of ms computer science. I am currently working on zero-shot learning. I have done most of the literature review about this topic and I have found almost 18 good methods for zero-shot learning. Now my question is should I work on these methods or should work on creating some new techniques for this. I am new to research that's why my question is very simple
Hassan Nazeer Chaudhry
There are several open areas in which you can work such as,
- Zero-shot Learning for Different Modalities: Extending ZSL to handle multiple modalities, such as combining visual data with text or audio, is an ongoing challenge. Developing models that can be generalized across modalities is an open area of research.
- Hybrid Approaches: Combining traditional supervised learning with zero-shot learning techniques can help bridge the performance gap. Developing effective hybrid models and techniques is an open area of research.
- Robustness and Adversarial Attacks: Zero-shot learning models can be vulnerable to adversarial attacks. Research into making these models more robust to such attacks is important, especially for applications where security is a concern.
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