HEM: a margin-based loss for visual categorisation tasks | Paper Citation Record

Observation 7506d456-2cb5-41c6-98da-953f12aee56d · outbound

This paper cites and Mian, A.

HEM: a margin-based loss for visual categorisation tasks and Mian, A

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.214513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5599d13b-0a69-4c9c-908d-03dba85815de · outbound

This paper cites Concrete Problems in AI Safety.

HEM: a margin-based loss for visual categorisation tasks Concrete Problems in AI Safety

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.218882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f882f63a-fd0c-4092-bae2-1df5a9dae3af · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.223280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb31278c-5526-4254-bb67-e5937847cf32 · outbound

This paper cites Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook.

HEM: a margin-based loss for visual categorisation tasks Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.227331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0bf5a8c-4f27-4b36-a18b-2bd0e85bc15c · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.232021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a0291b-f447-442a-a4f3-82cb40a64694 · outbound

This paper cites Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities.

HEM: a margin-based loss for visual categorisation tasks Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.236152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d5bf9ea-5ab4-401c-9b3e-62a6497e6ff3 · outbound

This paper cites S., Malhotra, G., Dujmovi \'c , M., Montero, M.

HEM: a margin-based loss for visual categorisation tasks S., Malhotra, G., Dujmovi \'c , M., Montero, M

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.241005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0666727-c61a-4b34-8efe-e955570081a8 · outbound

This paper cites J., Fauqueur, J., and Cipolla, R.

HEM: a margin-based loss for visual categorisation tasks J., Fauqueur, J., and Cipolla, R

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.244988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221028a5-a8d4-470d-b4b9-4cf3814ab4ff · outbound

This paper cites Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss.

HEM: a margin-based loss for visual categorisation tasks Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.248970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbcd490c-c639-4c4e-bcb4-e475880c9afe · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.253218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf29af2-0e6e-487b-a74e-69a0444a99e2 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

HEM: a margin-based loss for visual categorisation tasks On Tiny Episodic Memories in Continual Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.257140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b19c54-e7ac-4231-ae8c-7c85ff4cf7b3 · outbound

This paper cites WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis.

HEM: a margin-based loss for visual categorisation tasks WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.261253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8b12c3-bc13-4d06-a6ca-e88c06a287ce · outbound

This paper cites Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.

HEM: a margin-based loss for visual categorisation tasks Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.265420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a72e2ac-503e-4617-8ba0-eec3c3e827e5 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.269838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3babea86-ecf2-4ddc-96d7-f5b8173abb4f · outbound

This paper cites Deep Learning for Classical Japanese Literature.

HEM: a margin-based loss for visual categorisation tasks Deep Learning for Classical Japanese Literature

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.273897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39bc68b-6596-4271-a7b0-a89870b76d2a · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding.

HEM: a margin-based loss for visual categorisation tasks The Cityscapes Dataset for Semantic Urban Scene Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.278172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee3dd75-331f-4e61-958b-dbd91358421d · outbound

This paper cites and Singer, Y.

HEM: a margin-based loss for visual categorisation tasks and Singer, Y

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.282368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c1bce4-f1b1-4293-ab35-5d2d95fd3129 · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.

HEM: a margin-based loss for visual categorisation tasks Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.286102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f1bc43-8c17-4d5d-8ca2-118919a69c32 · outbound

This paper cites Decoupled Kullback-Leibler Divergence Loss.

HEM: a margin-based loss for visual categorisation tasks Decoupled Kullback-Leibler Divergence Loss

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.290233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc20e3e2-ffc2-4ad9-a7db-a1fa767061c3 · outbound

This paper cites Class-Balanced Loss Based on Effective Number of Samples.

HEM: a margin-based loss for visual categorisation tasks Class-Balanced Loss Based on Effective Number of Samples

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.294169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eadd274-61ea-4519-abc3-575c9732ea3c · outbound

This paper cites N., Bellinger, C., Roberts, M., and Chawla, N.

HEM: a margin-based loss for visual categorisation tasks N., Bellinger, C., Roberts, M., and Chawla, N

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.298198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 124dd812-9285-43b3-ae2f-5ac44f1b5964 · outbound

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

HEM: a margin-based loss for visual categorisation tasks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.301895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e40e3df-c988-4fe6-87e0-4603d84730f3 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.307135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2368f3e1-6861-4cb9-bb11-7c76a7049e23 · outbound

This paper cites Shortcut Learning in Deep Neural Networks.

HEM: a margin-based loss for visual categorisation tasks Shortcut Learning in Deep Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.311094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2502ed-9fd5-46b4-839f-f4c009b02d95 · outbound

This paper cites Generalisation in humans and deep neural networks.

HEM: a margin-based loss for visual categorisation tasks Generalisation in humans and deep neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.315060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273884bf-f210-4461-abe0-efaf621e16eb · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.319535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66e24ea-28ff-493f-b510-2196cda46fc0 · outbound

This paper cites Deep Residual Learning for Image Recognition.

HEM: a margin-based loss for visual categorisation tasks Deep Residual Learning for Image Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.323416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b82cb3-8618-4f59-9eb7-246095356dd6 · outbound

This paper cites Identity Mappings in Deep Residual Networks.

HEM: a margin-based loss for visual categorisation tasks Identity Mappings in Deep Residual Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.327583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde75584-9a00-4a21-be21-4a7daadbe68b · outbound

This paper cites Bag of Tricks for Image Classification with Convolutional Neural Networks.

HEM: a margin-based loss for visual categorisation tasks Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.331531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a647adf-56da-48dc-9ca2-f28df833f139 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.335507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81830844-2693-43d8-864c-191a1798e43a · outbound

This paper cites Scaling Out-of-Distribution Detection for Real-World Settings.

HEM: a margin-based loss for visual categorisation tasks Scaling Out-of-Distribution Detection for Real-World Settings

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.339545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4914c31f-fd41-43ba-b22f-333c56a93ca3 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

HEM: a margin-based loss for visual categorisation tasks Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.343297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdefe28c-dd5b-4c02-978a-e9f794b0d937 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

HEM: a margin-based loss for visual categorisation tasks A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.347197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc05b1d-0ccf-4b5e-b38f-568a029c98a2 · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

HEM: a margin-based loss for visual categorisation tasks Deep Anomaly Detection with Outlier Exposure

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.351331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09eee08-cfe7-4001-a485-47b4e84e5e3d · outbound

This paper cites Natural Adversarial Examples.

HEM: a margin-based loss for visual categorisation tasks Natural Adversarial Examples

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.355166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506d07df-5937-4ff1-b18b-dd393b8701be · outbound

This paper cites PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures.

HEM: a margin-based loss for visual categorisation tasks PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.359115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3c837e-cff6-4f99-9e2d-2d0f35132eaa · outbound

This paper cites Searching for MobileNetV3.

HEM: a margin-based loss for visual categorisation tasks Searching for MobileNetV3

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.363068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721f970c-8f6e-49c5-9e86-654792b8ead6 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

HEM: a margin-based loss for visual categorisation tasks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.366745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68422f1a-1d37-4249-95da-ab3ee3f11cbb · outbound

This paper cites Densely Connected Convolutional Networks.

HEM: a margin-based loss for visual categorisation tasks Densely Connected Convolutional Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.370813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f10e979-2f78-4718-a645-2c2e96d57b69 · outbound

This paper cites Adversarial Examples Are Not Bugs, They Are Features.

HEM: a margin-based loss for visual categorisation tasks Adversarial Examples Are Not Bugs, They Are Features

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.374857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e84be27-d4d6-49ae-a2ad-b053e258243d · outbound

This paper cites Training a Vision Transformer from scratch in less than 24 hours with 1 GPU.

HEM: a margin-based loss for visual categorisation tasks Training a Vision Transformer from scratch in less than 24 hours with 1 GPU

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.584949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f9d989a-e1c8-4ac0-8e6b-79ad7e2d33f7 · outbound

This paper cites Less-forgetting Learning in Deep Neural Networks.

HEM: a margin-based loss for visual categorisation tasks Less-forgetting Learning in Deep Neural Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.382654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ecf72f-047e-4386-85be-53d3fc090cef · outbound

This paper cites One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training.

HEM: a margin-based loss for visual categorisation tasks One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.557693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a27150a-72c2-4628-9ddb-62315b1a3f88 · outbound

This paper cites Adversarial Logit Pairing.

HEM: a margin-based loss for visual categorisation tasks Adversarial Logit Pairing

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.390750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6abc1486-9a89-464a-ba9a-73e8db54e047 · outbound

This paper cites Torchattacks: A PyTorch Repository for Adversarial Attacks.

HEM: a margin-based loss for visual categorisation tasks Torchattacks: A PyTorch Repository for Adversarial Attacks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.394634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346f1974-c3df-425a-8c63-0b16feceb7eb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HEM: a margin-based loss for visual categorisation tasks Adam: A Method for Stochastic Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.398641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b904a5c-425e-458a-b8e1-20eddf22194d · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.402872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c55b687-35e6-4247-a671-0b6e7071694e · outbound

This paper cites Panoptic Feature Pyramid Networks.

HEM: a margin-based loss for visual categorisation tasks Panoptic Feature Pyramid Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.406435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5969352-a01a-4b74-a1ba-5c9f7e0671b0 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R.

HEM: a margin-based loss for visual categorisation tasks A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.410610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f20e4dd0-eac5-4662-9c88-bf0e052ebd91 · outbound

This paper cites Are DNNs fooled by extremely unrecognizable images?.

HEM: a margin-based loss for visual categorisation tasks Are DNNs fooled by extremely unrecognizable images?

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.414629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28c9d2cf-da45-4583-bd38-49a1e2d7d1a7 · outbound

This paper cites M., Salakhutdinov, R., and Tenenbaum, J.

HEM: a margin-based loss for visual categorisation tasks M., Salakhutdinov, R., and Tenenbaum, J

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.419049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63baa018-079e-45ae-b7af-ade6b277211e · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.422905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346058b4-72ee-4f7d-8845-376aa04c571f · outbound

This paper cites Gradient-Based Adversarial and Out-of-Distribution Detection.

HEM: a margin-based loss for visual categorisation tasks Gradient-Based Adversarial and Out-of-Distribution Detection

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.398116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05373890-b3be-4b30-a0d0-8601a03a2da2 · outbound

This paper cites Learning without Forgetting.

HEM: a margin-based loss for visual categorisation tasks Learning without Forgetting

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.430414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4daae3-abfd-4708-9e6e-4f5e3000b2fd · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.434841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a5fd78-e758-4d2c-84d6-af24d9c65138 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

HEM: a margin-based loss for visual categorisation tasks Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.438841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8834be-03aa-44da-9de9-24e883905660 · outbound

This paper cites Avalanche: an End-to-End Library for Continual Learning.

HEM: a margin-based loss for visual categorisation tasks Avalanche: an End-to-End Library for Continual Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.356325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5ed8180-4524-4d53-94b8-3258167f1216 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.446922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af272d09-9cf4-4d6b-aa14-5b844331838f · outbound

This paper cites Metric Learning for Adversarial Robustness.

HEM: a margin-based loss for visual categorisation tasks Metric Learning for Adversarial Robustness

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.450443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed48043-c41f-4757-b570-ef666518160e · outbound

This paper cites The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence.

HEM: a margin-based loss for visual categorisation tasks The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.454186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e292c57f-73cf-46c9-adfa-7e4d60c73182 · outbound

This paper cites Long-tail learning via logit adjustment.

HEM: a margin-based loss for visual categorisation tasks Long-tail learning via logit adjustment

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.458069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d77d91-6c56-4b18-90c3-dd88717233f1 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.462289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4665d40d-574e-4f38-a467-544b70728c53 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.466256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad56aa6-a699-4b37-8bb8-0e643a1fc7fc · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 64

Resolution: verified exact; doi, observed 2026-08-10T17:30:21.757058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d31284d-9070-4d21-8ce7-56fbe14c0440 · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

HEM: a margin-based loss for visual categorisation tasks MNIST-C: A Robustness Benchmark for Computer Vision

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.473488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e73499-1510-49ad-a374-9c7226837e8f · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.477346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe2f0b21-7700-461d-a65a-dbf0104c4939 · outbound

This paper cites Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images.

HEM: a margin-based loss for visual categorisation tasks Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.481132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa54d7bf-118a-4db5-a1d1-fbd4cb421ba8 · outbound

This paper cites Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.

HEM: a margin-based loss for visual categorisation tasks Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.485172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736a5a24-abad-44a1-aa91-405fc2113bbc · outbound

This paper cites Bag of Tricks for Adversarial Training.

HEM: a margin-based loss for visual categorisation tasks Bag of Tricks for Adversarial Training

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.489243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69054c3a-fe4d-4819-9414-e81999e6b297 · outbound

This paper cites Exploring Adversarial Robustness of Deep Metric Learning.

HEM: a margin-based loss for visual categorisation tasks Exploring Adversarial Robustness of Deep Metric Learning

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:30:22.196449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12a00158-1862-4091-a883-37608fd738dc · outbound

This paper cites The Limitations of Deep Learning in Adversarial Settings.

HEM: a margin-based loss for visual categorisation tasks The Limitations of Deep Learning in Adversarial Settings

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.497875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4f09bc-da96-4326-b0c2-814eac7cf3c4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

HEM: a margin-based loss for visual categorisation tasks PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.501901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c942b0b-ddda-480f-8e0a-927b71163dab · outbound

This paper cites Balanced Meta-Softmax for Long-Tailed Visual Recognition.

HEM: a margin-based loss for visual categorisation tasks Balanced Meta-Softmax for Long-Tailed Visual Recognition

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.506449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f71852d-4c88-44e7-b5e2-8add2196cb28 · outbound

This paper cites Overfitting in adversarially robust deep learning.

HEM: a margin-based loss for visual categorisation tasks Overfitting in adversarially robust deep learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.510223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca280c1c-228b-4ce9-8e9d-7e5489d4902a · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.514024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffde9d08-aa76-4dc3-8596-3c7ec2163518 · outbound

This paper cites D., Jalaian, B., and Jha, S.

HEM: a margin-based loss for visual categorisation tasks D., Jalaian, B., and Jha, S

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.517765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5144bab6-04ae-4a46-aaa5-e08998067237 · outbound

This paper cites and Wichert, A.

HEM: a margin-based loss for visual categorisation tasks and Wichert, A

Reference 77

Resolution: malformed identifier; no resolver link, observed 2026-08-10T17:30:21.521459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d76d17-bc22-449a-b0dc-4fbef7060890 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 78

Resolution: verified exact; doi, observed 2026-08-10T17:30:21.728996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39876328-b3f1-4e06-865f-b490bbfa2efd · outbound

This paper cites A Comprehensive Assessment Benchmark for Rigorously Evaluating Deep Learning Image Classifiers.

HEM: a margin-based loss for visual categorisation tasks A Comprehensive Assessment Benchmark for Rigorously Evaluating Deep Learning Image Classifiers

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.132444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1a7c0c8-30ab-4a66-b60a-d06ad4015dc4 · outbound

This paper cites Going Deeper with Convolutions.

HEM: a margin-based loss for visual categorisation tasks Going Deeper with Convolutions

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.533639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 242f410c-fcec-4444-a463-79b5c47a0a0a · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

HEM: a margin-based loss for visual categorisation tasks Rethinking the Inception Architecture for Computer Vision

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.537714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd782578-5152-4dcf-b2cf-a8fbe3a4c8a6 · outbound

This paper cites Consistency Regularization for Adversarial Robustness.

HEM: a margin-based loss for visual categorisation tasks Consistency Regularization for Adversarial Robustness

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.086683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4031c83f-5eb1-45f8-94b2-94d74cc96c94 · outbound

This paper cites Equalization Loss for Long-Tailed Object Recognition.

HEM: a margin-based loss for visual categorisation tasks Equalization Loss for Long-Tailed Object Recognition

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:22.067328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe902136-6838-43d8-b746-6bdf953d956d · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

HEM: a margin-based loss for visual categorisation tasks EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.550230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ece948d-b892-4cb4-8c6b-04ef79157e67 · outbound

This paper cites The iNaturalist Species Classification and Detection Dataset.

HEM: a margin-based loss for visual categorisation tasks The iNaturalist Species Classification and Detection Dataset

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.554364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866d114d-51f9-46ec-8cf8-fb2ee5260847 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.558557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47f39bf-3f2b-4006-9cff-d9bbe65e42c8 · outbound

This paper cites Open-Set Recognition: a Good Closed-Set Classifier is All You Need?.

HEM: a margin-based loss for visual categorisation tasks Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.563104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9eb5e7-03c6-478c-92c2-7c5096249f88 · outbound

This paper cites Mitigating Neural Network Overconfidence with Logit Normalization.

HEM: a margin-based loss for visual categorisation tasks Mitigating Neural Network Overconfidence with Logit Normalization

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.568645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd341d83-b965-45d6-9623-2624023f2e83 · outbound

This paper cites ResNet strikes back: An improved training procedure in timm.

HEM: a margin-based loss for visual categorisation tasks ResNet strikes back: An improved training procedure in timm

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.573164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70ba8b0-faa1-4fa5-8f43-8489fae9b20e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

HEM: a margin-based loss for visual categorisation tasks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.577654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6b6224-a1c3-4d10-bd9b-249fc1825aff · outbound

This paper cites Aggregated Residual Transformations for Deep Neural Networks.

HEM: a margin-based loss for visual categorisation tasks Aggregated Residual Transformations for Deep Neural Networks

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.582379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5e5495-8f58-4da4-9e6c-e4ab000547d1 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.586330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfea63bd-0b64-493f-a105-a2fd18077f64 · outbound

This paper cites OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

HEM: a margin-based loss for visual categorisation tasks OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.590507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd2d40f3-dea9-48b7-9a07-d891b9d6067a · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 94

Resolution: verified exact; doi, observed 2026-08-10T17:30:21.715677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b79adbe-1d62-4349-a8cb-698348627003 · outbound

This paper cites and Xu, C.-Z.

HEM: a margin-based loss for visual categorisation tasks and Xu, C.-Z

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.601826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43212556-3bc9-4e72-b160-4a1bc54ca996 · outbound

This paper cites an unresolved cited work.

HEM: a margin-based loss for visual categorisation tasks Unresolved cited work

Reference 96

Resolution: verified exact; doi, observed 2026-08-10T17:30:21.702977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1abea07f-ab31-470e-93c8-9bfc8bf12fac · outbound

This paper cites Wide Residual Networks.

HEM: a margin-based loss for visual categorisation tasks Wide Residual Networks

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.610758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a680a4-eae5-4846-92ab-0738225927e0 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

HEM: a margin-based loss for visual categorisation tasks Continual Learning Through Synaptic Intelligence

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.615286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09f6f81-3afc-4108-a670-2c02aa954e9f · outbound

This paper cites Theoretically Principled Trade-off between Robustness and Accuracy.

HEM: a margin-based loss for visual categorisation tasks Theoretically Principled Trade-off between Robustness and Accuracy

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.621042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76870452-ca75-42dd-8c5c-f8f463ae7db7 · outbound

This paper cites Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection.

HEM: a margin-based loss for visual categorisation tasks Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:30:21.843423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers