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A General and Efficient Querying Method for Learning to Hash
Summary: Introduces quantization distance (QD), a fine-grained similarity indicator to replace Hamming distance in learning-to-hash for ANN. Proposes two efficient QD-based querying methods that surpass Hamming ranking and generalize across L2H algorithms, delivering noticeable gains with a simpler design.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5470
- Venue
- SIGMOD
- Year
- 2018
- Pagerank
- 6.0528541e-05
- Overall Rank
- 4,609 | 67.94%
- DOI
-
10.1145/3183713.3183750
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,181 |
PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search |
2020 |
VLDB |
9.3451821e-05 |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-05 |
| 2,811 |
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations |
2023 |
SIGMOD |
8.0806307e-05 |
| 5,707 |
FARGO: Fast Maximum Inner Product Search via Global Multi-Probing |
2023 |
VLDB |
5.3611041e-05 |
| 8,485 |
Maximum Inner Product is Query-Scaled Nearest Neighbor |
2025 |
VLDB |
4.4999394e-05 |
| 8,497 |
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph |
2025 |
SIGMOD |
4.4981377e-05 |
| 10,124 |
TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,201 |
RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,237 |
Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,743 |
NaviX: A Native Vector Index Design for Graph DBMSs With Robust Predicate-Agnostic Search Performance |
2025 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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