Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning | Paper Citation Record

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This paper cites Unicom: Universal and Compact Representation Learning for Image Retrieval.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Unicom: Universal and Compact Representation Learning for Image Retrieval

Reference 1

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This paper cites Practical and optimal lsh for angular distance.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Practical and optimal lsh for angular distance

Reference 2

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Observation 8b76c099-f324-49d5-aa75-dcfb97d80072 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 3

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This paper cites Deep metric learning to rank.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Deep metric learning to rank

Reference 4

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This paper cites Charikar.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Charikar

Reference 5

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This paper cites Chopra, R.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Chopra, R

Reference 6

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This paper cites Debiased contrastive learning.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Debiased contrastive learning

Reference 7

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Observation f3cde8b2-4850-4159-8262-fdcffa91e34d · outbound

This paper cites Mirrokni.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Mirrokni

Reference 8

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Observation 45b07934-e332-472b-9466-a4fe299b82bf · outbound

This paper cites Sample4geo: Hard negative sampling for cross-view geo-localisation.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Sample4geo: Hard negative sampling for cross-view geo-localisation

Reference 9

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Observation 1983c1a5-8fff-4320-92c9-bc03d30341b1 · outbound

This paper cites Orientation-guided con- trastive learning for uav-view geo-localisation.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Orientation-guided con- trastive learning for uav-view geo-localisation

Reference 10

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Observation 32175633-0c13-4a20-853b-aea292a9c4b6 · outbound

This paper cites Optimizing geo-localization with k-means re-ranking in challenging weather conditions.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Optimizing geo-localization with k-means re-ranking in challenging weather conditions

Reference 11

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This paper cites Deep feature learning with relative distance comparison for person re-identification.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Deep feature learning with relative distance comparison for person re-identification

Reference 12

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Observation b06e91fc-9e5f-4f22-962f-3fd13697187c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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Observation c81f0def-7c0c-4df4-a53b-962851df0a0e · outbound

This paper cites The faiss library.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning The faiss library

Reference 14

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Observation b11dbc3d-1b33-4fbf-9fe8-00e95ad610f3 · outbound

This paper cites Fast approximate nearest neighbor search with the navigating spreading-out graph.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Fast approximate nearest neighbor search with the navigating spreading-out graph

Reference 15

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Observation c361608d-f4e4-40a8-b053-72fbb46a3a4e · outbound

This paper cites Hard-negatives or non-negatives? a hard- negative selection strategy for cross-modal retrieval using the improved marginal ranking loss.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Hard-negatives or non-negatives? a hard- negative selection strategy for cross-modal retrieval using the improved marginal ranking loss

Reference 16

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Observation 56a68170-757c-47e3-a78b-d74320e1f6d3 · outbound

This paper cites Learning Dense Representations for Entity Retrieval.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Learning Dense Representations for Entity Retrieval

Reference 17

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Observation 189fd92a-cbc3-4291-9bb3-3419cbf8e396 · outbound

This paper cites Iterative quantiza- tion: A procrustean approach to learning binary codes for large-scale image retrieval.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Iterative quantiza- tion: A procrustean approach to learning binary codes for large-scale image retrieval

Reference 18

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Observation 1518e7cd-3a1d-497a-8919-3b75f4a72775 · outbound

This paper cites Clip-reident: Contrastive training for player re-identification.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Clip-reident: Contrastive training for player re-identification

Reference 19

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Observation e46c6d9f-2e59-41d1-bb78-397c742ee835 · outbound

This paper cites Approximate nearest neighbor: Towards removing the curse of dimensionality.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Approximate nearest neighbor: Towards removing the curse of dimensionality

Reference 20

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Observation 56541e11-53e9-495d-b765-cd4a28bb2367 · outbound

This paper cites Approximate nearest neighbor: Towards removing the curse of dimensionality.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Approximate nearest neighbor: Towards removing the curse of dimensionality

Reference 21

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Observation 261079b1-fbc2-47a0-b351-2d11666aee64 · outbound

This paper cites In Defense of the Triplet Loss for Person Re-Identification.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning In Defense of the Triplet Loss for Person Re-Identification

Reference 22

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Observation a2ced383-a87b-4a94-8165-d741ec6d0fa5 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Scaling up visual and vision-language representation learning with noisy text supervision

Reference 23

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This paper cites Product quantization for nearest neighbor search.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Product quantization for nearest neighbor search

Reference 24

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This paper cites Dense passage retrieval for open-domain question answering.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Dense passage retrieval for open-domain question answering

Reference 25

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Observation 8ad7f28c-c7ab-413a-b163-4fef439f58a9 · outbound

This paper cites Lending orientation to neural networks for cross-view geo- localization.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Lending orientation to neural networks for cross-view geo- localization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:17.550144Z

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Observation 7aa16aaf-5d78-4322-9396-f71fd4a67815 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

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This paper cites A convnet for the 2020s.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning A convnet for the 2020s

Reference 28

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Observation 3dc2ae9e-435c-477f-907c-97cdc7882d24 · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:17.386741Z

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Observation 21babe84-e040-441f-bd5f-bacec0deb0e7 · outbound

This paper cites Deep metric learning via lifted structured feature embedding.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Deep metric learning via lifted structured feature embedding

Reference 30

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Observation 2f51d460-6669-4980-821e-54c95dfff03b · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Representation Learning with Contrastive Predictive Coding

Reference 31

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This paper cites Recall@ k surrogate loss with large batches and similarity mixup.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Recall@ k surrogate loss with large batches and similarity mixup

Reference 32

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Observation aec9b96c-73ba-4226-a3dc-51f17f4fd85c · outbound

This paper cites Wordnet:: Similarity-measuring the relatedness of concepts.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Wordnet:: Similarity-measuring the relatedness of concepts

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:16.842700Z

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Observation 21cd1b9a-aeff-4632-9096-c0b0afcdeeaa · outbound

This paper cites RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 34

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This paper cites Learning transferable visual models from natural language supervision.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Learning transferable visual models from natural language supervision

Reference 35

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This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:10.806794Z

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This paper cites Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Reference 37

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This paper cites Contrastive Learning with Hard Negative Samples.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Contrastive Learning with Hard Negative Samples

Reference 38

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 39

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Observation af9d48ad-e717-4678-8d92-b335f638b1f6 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Facenet: A unified embedding for face recognition and clustering

Reference 40

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This paper cites Learning to hash for indexing big data—a survey.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Learning to hash for indexing big data—a survey

Reference 42

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This paper cites Multi-similarity loss with general pair weighting for deep metric learning.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Multi-similarity loss with general pair weighting for deep metric learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:16.471992Z

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Pytorch image models

Reference 44

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Observation 0d26ead8-7ba8-47b6-9be7-35125e51dcbd · outbound

This paper cites Wide-area image geolocalization with aerial reference imagery.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Wide-area image geolocalization with aerial reference imagery

Reference 45

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Sampling matters in deep embedding learning

Reference 46

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This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 47

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Improved embeddings with easy positive triplet mining

Reference 48

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Hard-aware deeply cascaded embedding

Reference 49

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Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Sigmoid loss for language image pre-training

Reference 50

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This paper cites Multi-camera multi-player tracking with deep player identification in sports video.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Multi-camera multi-player tracking with deep player identification in sports video

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:15.318300Z

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This paper cites Vigor: Cross-view image geo-localization beyond one-to-one retrieval.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Vigor: Cross-view image geo-localization beyond one-to-one retrieval

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:15.059231Z

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This paper cites cross" and.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning cross" and

Reference 53

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