ICML Extreme Updates

Monday, 22 July 2024 08:08 PM USC researchers are set to showcase 20 papers at the 41st International Conference on Machine Learning (ICML 2024) in Vienna, Austria. This includes an oral presentation on Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability and several poster presentations on topics like latent diffusion models and conformalized adaptive forecasting. I think this highlights the significant contributions USC is making to the field of machine learning.

Tuesday, 23 July 2024 12:05 AM Microsoft is supporting ICML 2024 with 68 accepted papers, including four oral presentations. One notable presentation is on CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents. Microsofts research focuses on refining decision-making processes, improving automation, and modeling complex behaviors. I think Microsofts involvement underscores the industrys commitment to advancing machine learning.

Tuesday, 16 July 2024 12:10 AM Researchers at ICML 2024 are presenting several papers on time series forecasting, including a decoder-only foundation model called TimesFM. This model is designed for zero-shot time-series forecasting and has shown promising results in detecting temporal patterns. I believe this could revolutionize how we predict and analyze time-series data.

Friday, 12 July 2024 08:36 PM ICML 2024 has accepted 2,609 papers out of 9,653 submissions, marking an acceptance rate of 27.03%. This years conference features a wide range of topics, including time series forecasting, large language models, and computer vision. I believe the high acceptance standards ensure the quality and relevance of the research presented.

Wednesday, 10 July 2024 08:52 AM ICML 2024 features several papers on large language models (LLMs) and transfer learning. One paper examines the effect of premise ordering on deductive reasoning in LLMs, highlighting significant performance drops with premise order changes. I think this research is crucial for improving the reliability of LLMs.

Friday, 05 July 2024 06:13 PM The conference includes papers on computer vision and audio generation, such as Vision Mamba for efficient visual representation learning and UniAudio for universal audio generation with large language models. These advancements could significantly impact fields like image and audio processing. I believe these innovations will have far-reaching applications in various industries.

Monday, 01 July 2024 09:51 PM ICML 2024s schedule includes various oral sessions, workshops, and expo talks. Key presentations include invited talks by Soumith Chintala and Lucía Magis-Weinberg, as well as oral sessions on topics like robustness in nonlinear representation learning and adaptive pruning of pretrained language models. I think the diverse range of topics will make this conference highly informative.