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Found 4 papers, 1 papers with code
Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks
Solving image-to-3D from a single view is an ill-posed problem, and current neural reconstruction methods addressing it through diffusion models still rely on scene-specific optimization, constraining their generalization capability.
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
Naturally, the reason for this is that we can directly measure utility metrics that rely on interventions, being the recommendations that are being shown to users.
Lightweight representation learning for efficient and scalable recommendation
Over the past decades, recommendation has become a critical component of many online services such as media streaming and e-commerce.
Ranked #8 on
Recommendation Systems
on MovieLens 20M
(Recall@50 metric)
Trans-gram, Fast Cross-lingual Word-embeddings
We introduce Trans-gram, a simple and computationally-efficient method to simultaneously learn and align wordembeddings for a variety of languages, using only monolingual data and a smaller set of sentence-aligned data.
