Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Residents of Ona-Ara Federal Constituency in Oyo State have called for intervention by the leadership of the All Progressives Congress (APC) in a long-standing issue of marginalization and unfair ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Perhaps the starkest image of the Partition, which created the two independent states of India and Pakistan in 1947, is that of the train massacres. In this vignette from Siyah Hashiye or Black ...

Abstract: Deep learning-based surface defect segmentation approaches have shown promising performance in recent years. However, segmenting defects with complex shapes, large variations in size, and ...

Abstract: Traditional unimodal sensing faces limitations in accuracy and capability, and its decoupled implementation with communication systems increases latency in bandwidth-constrained environments ...

HSRL is a novel reinforcement learning framework for recommender systems that addresses one of the most critical bottlenecks in RL-based recommendation — the dynamic and high-dimensional action space.

The architecture is implemented in model.py and I designed it to facilitate exparimentation, for instance by adding extra-downhills to the encoder. I trained it for less than 15 epochs on the ...