2 citations · 4 across the 7 of their papers we have counts for
7 papers
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
Xiliang Yang, Shenyang Deng, Shicong Liu +3
Data augmentation is an important technique in training deep neural networks as it enhances their ability to generalize and remain robust. While data augmentation is commonly used…
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search
Shicong Liu, Hongtao Lu
Recent advance of large scale similarity search involves using deeply learned representations to improve the search accuracy and use vector quantization methods to increase the sea…
Generalized residual vector quantization for large scale data
Shicong Liu, Junru Shao, Hongtao Lu
Vector quantization is an essential tool for tasks involving large scale data, for example, large scale similarity search, which is crucial for content-based information retrieval…
Accelerated Distance Computation with Encoding Tree for High Dimensional Data
Shicong Liu, Junru Shao, Hongtao Lu
We propose a novel distance to calculate distance between high dimensional vector pairs, utilizing vector quantization generated encodings. Vector quantization based methods are su…
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search
Shicong Liu, Hongtao Lu, Junru Shao
Quantization methods have been introduced to perform large scale approximate nearest search tasks. Residual Vector Quantization (RVQ) is one of the effective quantization methods.…
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search
Shicong Liu, Junru Shao, Hongtao Lu
Vector quantization-based approaches are successful to solve Approximate Nearest Neighbor (ANN) problems which are critical to many applications. The idea is to generate effective…
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing
Shicong Liu, Hongtao Lu
We introduce a novel dictionary optimization method for high-dimensional vector quantization employed in approximate nearest neighbor (ANN) search. Vector quantization methods firs…