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08/05/2023
DeDrift: Robust Similarity Search under Content Drift
The statistical distribution of content uploaded and searched on media s...
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04/10/2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Recent advances in diffusion models enable many powerful instruments for...
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09/30/2022
TabDDPM: Modelling Tabular Data with Diffusion Models
Denoising diffusion probabilistic models are currently becoming the lead...
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09/02/2022
Petals: Collaborative Inference and Fine-tuning of Large Models
Many NLP tasks benefit from using large language models (LLMs) that ofte...
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05/08/2022
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
Despite the broad range of algorithms for Approximate Nearest Neighbor S...
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12/06/2021
Label-Efficient Semantic Segmentation with Diffusion Models
Denoising diffusion probabilistic models have recently received much res...
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06/24/2021
Distilling the Knowledge from Normalizing Flows
Normalizing flows are a powerful class of generative models demonstratin...
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11/27/2019
Towards Similarity Graphs Constructed by Deep Reinforcement Learning
Similarity graphs are an active research direction for the nearest neigh...
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05/27/2019
Learning to Route in Similarity Graphs
Recently similarity graphs became the leading paradigm for efficient nea...
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02/07/2018
