Interesting AI papers
- Yang, Chao-Han Huck, Yun-Yun Tsai, and Pin-Yu Chen. "Voice2series: Reprogramming acoustic models for time series classification." International conference on machine learning. PMLR, 2021.
- Jin, Ming, et al. "Time-llm: Time series forecasting by reprogramming large language models." arXiv preprint arXiv:2310.01728 (2023).
- Kumar, Rithesh, et al. "High-Fidelity Audio Compression with Improved RVQGAN." arXiv preprint arXiv:2306.06546 (2023).
- Gu, Albert, and Tri Dao. "Mamba: Linear-time sequence modeling with selective state spaces." arXiv preprint arXiv:2312.00752 (2023).
- Park, Jongho, et al. "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks." arXiv preprint arXiv:2402.04248 (2024).
- Shahriari, Yalda, et al. "Electrocardiogram signal quality assessment based on structural image similarity metric." IEEE Transactions on Biomedical Engineering 65.4 (2017): 745-753.
- Zhao, Jiawei et al. “GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.” (2024).