Top 10 AI Research Papers to Read on 10.16.2024

Welcome to today’s edition of our AI research newsletter! As the field of Artificial Intelligence continues to evolve rapidly, it is crucial to stay informed about the latest research and developments. In this issue, we present a curated list of the top 10 AI research papers published on October 16, 2024.

These papers cover a diverse range of topics, including innovative techniques in machine learning, advancements in humanoid robotics, and novel approaches to AI explainability. Whether you are a researcher, practitioner, or enthusiast, these groundbreaking studies will provide valuable insights into the future of AI.

Join us as we delve into the cutting-edge work that is shaping the landscape of artificial intelligence today!

• MoH: Multi-Head Attention as Mixture-of-Head Attention by Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan
• GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation by Fei Tang, Yongliang Shen, Hang Zhang, Zeqi Tan, Wenqi Zhang, Guiyang Hou, Kaitao Song, Weiming Lu, Yueting Zhuang
• A Hitchhiker’s Guide to Scaling Law Estimation by Leshem Choshen, Yang Zhang, Jacob Andreas
• Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions by Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Bıyık, Joseph J. Lim
• Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies by Zixuan Chen, Xialin He, Yen-Jen Wang, Qiayuan Liao, Yanjie Ze, Zhongyu Li, S. Shankar Sastry, Jiajun Wu, Koushil Sreenath, Saurabh Gupta, Xue Bin Peng
• OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation by Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu
• Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability by Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung
• MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation by Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen
• Encoding architecture algebra by Stephane Bersier, Xinyi Chen-Lin
• Time-Series Foundation Model for Value-at-Risk by Anubha Goel, Puneet Pasricha, Juho Kanniainen