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Found 10 papers, 4 papers with code
Towards Controllable Time Series Generation
This underscores its adeptness in seamlessly integrating latent features with external conditions.
Diversity-Aware $k$-Maximum Inner Product Search Revisited
To bridge this gap, we revisit and refine the diversity-aware $k$MIPS (D$k$MIPS) problem by incorporating two well-known diversity objectives -- minimizing the average and maximum pairwise item similarities within the results -- into the original relevance objective.
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
In this paper, we concentrate on the domain of tabular data and introduce a novel methodology, Local Distribution Shifting Synthesis (\textsc{LDSS}), to detect leaked data that are used to train classification models.
TSGBench: Time Series Generation Benchmark
Synthetic Time Series Generation (TSG) is crucial in a range of applications, including data augmentation, anomaly detection, and privacy preservation.
Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search
Finding the nearest neighbor to a hyperplane (or Point-to-Hyperplane Nearest Neighbor Search, simply P2HNNS) is a new and challenging problem with applications in many research domains.
SAH: Shifting-aware Asymmetric Hashing for Reverse $k$-Maximum Inner Product Search
To speed up the Maximum Inner Product Search (MIPS) on item vectors, we design a shifting-invariant asymmetric transformation and develop a novel sublinear-time Shifting-Aware Asymmetric Locality Sensitive Hashing (SA-ALSH) scheme.
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
Furthermore, to better fit with convolutions, we suggest to first aggregate traffic flows according to pre-conceived regions or self-organized regions based on traffic flows, then dispose to sequentially organized raster images for network input.
Robust Federated Recommendation System
We argue that the key to Byzantine detection is monitoring of gradients of the model parameters of clients.
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?
Multi-hop question answering (QA) requires a model to retrieve and integrate information from different parts of a long text to answer a question.
A Generic Inverted Index Framework for Similarity Search on the GPU - Technical Report
We propose a novel generic inverted index framework on the GPU (called GENIE), aiming to reduce the programming complexity of the GPU for parallel similarity search of different data types.
