However, the integration of heterogeneous multimodal data poses a significant challenge, as confounding effects and dependencies among such heterogeneous data sources introduce unwanted variability and bias, leading to suboptimal performance of multimodal models. Therefore, it becomes crucial to normalize the low-or high-level features extracted from data modalities before their fusion takes place.

Visitors at the Tokyo Game Show 2025 held in the city of Chiba in September. The government has set a target of boosting annual overseas sales of Japanese content such as anime and video games to ¥20 trillion by 2033. The government will step up support for the overseas expansion of content industries such as video games and anime, while also investing more in related human resources development. Overseas sales of Japanese content reached around ¥5.8 trillion ($37.6 billion) in 2023, surpassing Japan's semiconductor exports. In 2025, global box-office revenue for the anime movie Demon Slayer: Kimetsu no Yaiba the Movie: Infinity Castle -- Part 1: Akaza Returns topped ¥100 billion, marking the first time a Japanese movie has achieved this milestone.

Recently there has been significant theoretical progress on understanding the convergence andgeneralization ofgradient-based methods onnonconvexlosses withoverparameterized models. Nevertheless, manyaspectsofoptimization and generalization and in particular the critical role of small random initialization are not fully understood.

Recently there has been significant theoretical progress on understanding the convergence andgeneralization ofgradient-based methods onnonconvexlosses withoverparameterized models. Nevertheless, manyaspectsofoptimization and generalization and in particular the critical role of small random initialization are not fully understood.

These authors contributed equally to this work 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

Perception, in theoretical neuroscience, has been modeled as the encoding of external stimuli into internal signals, which are then decoded.

Existing image-text modality alignment in Vision Language Models (VLMs) treats each text token equally in an autoregressive manner.