Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors | Paper Citation Record

Observation d08ede99-210d-4f98-8039-49b4ba155a2f · outbound

This paper cites In: International Conference on Learning Representations (2018).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2018)

Reference 1

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This paper cites In: ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models (2023).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models (2023)

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

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This paper cites In: International Conference on Machine Learning (2020).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning (2020)

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This paper cites Flavors of geometry 31(59-115), 2 (1997).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Flavors of geometry 31(59-115), 2 (1997)

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This paper cites Journal of the American Statisti- cal Association 112(520), 1684–1696 (2017).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Journal of the American Statisti- cal Association 112(520), 1684–1696 (2017)

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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This paper cites IEEE Transactions on Multimedia (2023).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE Transactions on Multimedia (2023)

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This paper cites In: The Eleventh Inter- national Conference on Learning Representa- tions (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: The Eleventh Inter- national Conference on Learning Representa- tions (2022)

Reference 9

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This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 10

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This paper cites IEEE signal processing magazine 29(6), 141–142 (2012).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE signal processing magazine 29(6), 141–142 (2012)

Reference 11

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This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 12

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp

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This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

Reference 14

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This paper cites In: Computer Vision and Pattern Recognition (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Computer Vision and Pattern Recognition (2022)

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This paper cites In: International Conference on Learning Representations (2023) Ghadimi Atigh, M., Keller-Ressel, M., Mettes, P.: Hyperbolic busemann learning with ideal pro- totypes.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2023) Ghadimi Atigh, M., Keller-Ressel, M., Mettes, P.: Hyperbolic busemann learning with ideal pro- totypes

Reference 16

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This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

Reference 17

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This paper cites IEEE trans- actions on pattern analysis and machine intelli- gence 43(10), 3614–3631 (2020).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE trans- actions on pattern analysis and machine intelli- gence 43(10), 3614–3631 (2020)

Reference 18

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This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

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This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recog- nition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recog- nition, pp

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This paper cites In: International Conference on Computer Vision (2021).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Computer Vision (2021)

Reference 21

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This paper cites In: International Confer- ence on Machine Learning (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Confer- ence on Machine Learning (2022)

Reference 22

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This paper cites IEEE Transac- tions on Neural Networks and Learning Systems (2023).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE Transac- tions on Neural Networks and Learning Systems (2023)

Reference 23

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This paper cites In: International Con- ference on Learning Representations (2016).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Con- ference on Learning Representations (2016)

Reference 24

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This paper cites In: Advances in Neural Information Processing Systems (2021).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Advances in Neural Information Processing Systems (2021)

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 26

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This paper cites In: Proceed- ings of the IEEE International Conference on Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceed- ings of the IEEE International Conference on Computer Vision, pp

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Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Unresolved cited work

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 29

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 30

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:24.703600Z

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This paper cites In: Computer Vision and Pattern Recognition (2020).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Computer Vision and Pattern Recognition (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:24.504485Z

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This paper cites In: The Twelfth International Conference on Learning Representations (2024).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: The Twelfth International Conference on Learning Representations (2024)

Reference 33

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This paper cites In: Interna- tional Conference on Learning Representations (2016).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Interna- tional Conference on Learning Representations (2016)

Reference 34

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Observation c0c5215b-4f47-47ea-866b-35d0430ce41b · outbound

This paper cites 21 Advances in neural information processing sys- tems 31 (2018).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors 21 Advances in neural information processing sys- tems 31 (2018)

Reference 35

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:23.618891Z

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This paper cites In: International Conference on Learning Representations (2018).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2018)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:23.366494Z

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This paper cites In: International Conference on Machine Learn- ing, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learn- ing, pp

Reference 38

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 39

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Observation 064d5e23-6178-4fde-9d04-9c2276fbe73d · outbound

This paper cites In: Com- puter Vision and Pattern Recognition (2020).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Com- puter Vision and Pattern Recognition (2020)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:22.780507Z

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Observation 8d3e39eb-b1a7-4222-8a60-e5c19925fcfd · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Towards Out-Of-Distribution Generalization: A Survey

Reference 41

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This paper cites Advances in Neural Information Processing Systems (2020).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Advances in Neural Information Processing Systems (2020)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:22.555566Z

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Observation 1b8785ff-95d7-479c-b59d-b5a81f86135e · outbound

This paper cites Stanford University (2015).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Stanford University (2015)

Reference 43

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Observation 38b7b8a5-fa1b-472f-83df-95981658ea5c · outbound

This paper cites HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition

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This paper cites In: Conference on Lifelong Learning Agents, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Conference on Lifelong Learning Agents, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:22.036554Z

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This paper cites arXiv (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors arXiv (2022)

Reference 46

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Observation f802b596-abee-423d-bb4f-b60aedcc8199 · outbound

This paper cites Hyperbolic Deep Learning in Computer Vision: A Survey.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Hyperbolic Deep Learning in Computer Vision: A Survey

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This paper cites In: AAAI Conference on Artificial Intelligence (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: AAAI Conference on Artificial Intelligence (2022)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:21.544609Z

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Observation b4592f8b-8f14-4bb2-8609-5ea0d1164b94 · outbound

This paper cites Communications of the ACM 38(11), 39–41 (1995).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Communications of the ACM 38(11), 39–41 (1995)

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This paper cites In: Advances in Neural Information Processing Systems, vol.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Advances in Neural Information Processing Systems, vol

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:21.293091Z

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Observation 8d26bcc0-f5e7-4ef2-9ef5-380918f2aabb · outbound

This paper cites How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

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This paper cites https://openreview.net/forum? id=aEFaE0W5pAd.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors https://openreview.net/forum? id=aEFaE0W5pAd

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:21.013483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0827927f-6495-4891-bf42-97e674b3c41b · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Advances in neural information processing systems 30 (2017)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:20.715504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65e3fba3-c687-4de8-9973-010b9d3048fc · outbound

This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:20.506069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 753a1e42-a386-4644-914e-bd234fd1448e · outbound

This paper cites In: International Conference on Machine Learning (2019) 22.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning (2019) 22

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:20.213470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20f87923-ee1a-4342-a51f-4d94fd911f84 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:19.909916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f60aaf0-80f5-4702-9693-612e5b9cb9a2 · outbound

This paper cites IEEE Transactions on pattern analysis and machine intelligence 44(12), 10023–10044 (2021).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE Transactions on pattern analysis and machine intelligence 44(12), 10023–10044 (2021)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:19.638345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f64800b-351c-44bd-abff-c4fa3088fb52 · outbound

This paper cites In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:19.339243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a6481fb-c160-4ae0-8b30-24f1356d00d0 · outbound

This paper cites University of Pennsyl- vania, ??? (2005).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors University of Pennsyl- vania, ??? (2005)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:19.139866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed16019e-0dba-4954-a73b-a771e38727c8 · outbound

This paper cites SSD: A Unified Framework for Self-Supervised Outlier Detection.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:09.346614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ccedd5-8d48-4482-8868-ed161909fd00 · outbound

This paper cites In: Inter- national Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Inter- national Conference on Machine Learning, pp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:18.970070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7016655c-03f7-4279-bab3-193d0e1a7e72 · outbound

This paper cites In: Euro- pean Conference on Computer Vision (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Euro- pean Conference on Computer Vision (2022)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:18.715441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08f7c4b2-3f1b-4bb4-be6f-8f6fcf5d5880 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:18.519143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 092059e1-e7fc-4d0c-b82e-cd05acc83853 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Machine Learning, pp

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:18.270480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bbc9486-f3e8-4532-84d4-412e0d2cf759 · outbound

This paper cites Advances in Neural Information Process- ing Systems 35 (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Advances in Neural Information Process- ing Systems 35 (2022)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:18.004781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 757c2224-929f-43d2-94b5-83cb4af798a7 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: The Eleventh International Conference on Learning Representations (2022)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:17.712814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edd76312-ee6a-44bc-8d69-438bda707ec9 · outbound

This paper cites Springer, ??? (2022) Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y.,.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Springer, ??? (2022) Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y.,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:17.484259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33ffaaab-6bb5-4e1b-b9bd-074b74a35df9 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:17.256717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed6a2c44-249f-4250-ab31-09348ed7c100 · outbound

This paper cites In: International Conference on Learning Representations (2021).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2021)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:17.044081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6dc7cb04-3ca2-4f16-9157-b8897b3f6c12 · outbound

This paper cites In: ICCV (2023).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: ICCV (2023)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.815606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12caf08c-6b32-4286-bfe8-65dbfefb560b · outbound

This paper cites Contrastive Training for Improved Out-of-Distribution Detection.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Contrastive Training for Improved Out-of-Distribution Detection

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:10.743596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e818ec87-3e29-4815-93c9-fc0a8422aaeb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.615581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 527c1b7f-a1c0-44a4-8aef-6f9e8df14347 · outbound

This paper cites an unresolved cited work.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:39:16.407214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4110f84-91c3-4f82-9eba-2272e1e4206d · outbound

This paper cites Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:11.182955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52470d80-091d-41b5-b9fc-d15c96dfc7e1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, 23 pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF International Conference on Computer Vision, 23 pp

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.157141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87c61ad9-f07a-4798-9cd4-854707d6adb1 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:15.967025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 008c8762-20a3-49e6-b679-199b73a9bf63 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Interven- tion (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Medical Image Computing and Computer-Assisted Interven- tion (2022)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:15.648219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3ead691-9357-40a1-b13e-8ffbaad8905d · outbound

This paper cites In: Proceedings of the NIPS Workshop on Deep Learning and Unsupervised Feature Learning (2011).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the NIPS Workshop on Deep Learning and Unsupervised Feature Learning (2011)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:15.451406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba0537b6-7478-4f37-8c21-ec8a73b2f1f4 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:15.225610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8aa88b49-e20f-4193-a966-b57a3b48ffd3 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 32598–32611 (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Advances in Neural Information Processing Systems 35, 32598–32611 (2022)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:14.928027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c4fb040-4860-4a7c-b10f-f008fe93e338 · outbound

This paper cites In: International Conference on Learning Representations (2023).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2023)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:14.638732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e97094a8-60f5-435e-8a8c-179d2aadba0f · outbound

This paper cites In: International Conference on Learning Representations (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: International Conference on Learning Representations (2022)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:14.398508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8b56b9d-5dac-4a67-8b92-5deb3d5c38d9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:14.153823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edef6847-a468-480b-b843-665fea5eb508 · outbound

This paper cites In: Interna- tional Joint Conference on Artificial Intelligence (2022).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Interna- tional Joint Conference on Artificial Intelligence (2022)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:13.813804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c351cb5b-1ccc-4d09-b491-a9d11005866b · outbound

This paper cites IEEE transac- tions on pattern analysis and machine intelli- gence 40(6), 1452–1464 (2017).

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors IEEE transac- tions on pattern analysis and machine intelli- gence 40(6), 1452–1464 (2017)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:13.608290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d452d75d-dead-4588-841e-e2f2a1be14b2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:13.299273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01e8dd0f-6fcb-428e-9d67-a19c3a62e25a · outbound

This paper cites OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:12.958137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers