Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning | Paper Citation Record

Observation f4c94c7d-ad29-4430-9f7f-ffd30b84545b · outbound

This paper cites Multi-label auroral image classification based on cnn and transformer,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Multi-label auroral image classification based on cnn and transformer,

Reference 1

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Observation 7609d7b7-1f0a-41b2-9120-a478c9f12f59 · outbound

This paper cites Rectified noise: A generative model using positive-incentive noise,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Rectified noise: A generative model using positive-incentive noise,

Reference 3

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This paper cites Detector with classifier2: An end-to-end multi-stream feature aggregation network for fine-grained object detection in remote sensing images,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Detector with classifier2: An end-to-end multi-stream feature aggregation network for fine-grained object detection in remote sensing images,

Reference 4

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Observation c43d303a-7d2c-4d8b-8c83-0c81d679b724 · outbound

This paper cites Catastrophic forgetting in connectionist net- works,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Catastrophic forgetting in connectionist net- works,

Reference 5

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Observation 88b3395b-9626-472b-93b6-f43880664935 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Overcoming catastrophic forgetting in neural networks,

Reference 6

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Observation ebc83a71-d6a4-425c-b99c-c193fcedc41f · outbound

This paper cites Multimodal continual learning with mllms from multi- scenario perspectives,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Multimodal continual learning with mllms from multi- scenario perspectives,

Reference 7

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This paper cites Multi-target pan- class intrinsic relevance driven model for improving semantic segmentation in autonomous driving,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Multi-target pan- class intrinsic relevance driven model for improving semantic segmentation in autonomous driving,

Reference 8

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Observation 0fef04de-d475-4065-b0f4-779b1ffd2345 · outbound

This paper cites Adaptive dual-axis style-based recalibration network with class-wise statistics loss for imbalanced medical image classification,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Adaptive dual-axis style-based recalibration network with class-wise statistics loss for imbalanced medical image classification,

Reference 9

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Observation 46e20f78-51af-4fb4-abac-e20b7a7e16a8 · outbound

This paper cites A continual learning survey: Defy- ing forgetting in classification tasks,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning A continual learning survey: Defy- ing forgetting in classification tasks,

Reference 10

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Observation dcb808a2-d66f-4128-a316-bd5969d7185e · outbound

This paper cites Online continual learning in image classification: An empir- ical survey,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Online continual learning in image classification: An empir- ical survey,

Reference 11

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Observation 51f25637-977b-4c96-90db-d385725e8650 · outbound

This paper cites Class-incremental learning: Sur- vey and performance evaluation on image classification,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class-incremental learning: Sur- vey and performance evaluation on image classification,

Reference 12

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Observation fe2b88a0-f507-44de-bb02-db736b0a32dc · outbound

This paper cites Class incremental learning via contrastive complementary augmen- tation,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class incremental learning via contrastive complementary augmen- tation,

Reference 13

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Observation a1d20013-97ab-4cf5-a1c7-f000fce0cae9 · outbound

This paper cites Ntk-guided few-shot class incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Ntk-guided few-shot class incremental learning,

Reference 14

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Observation 9ff23532-70a9-4d75-82af-6f3fc72be45b · outbound

This paper cites Viewmask-1-to-3: Multi-view consistent image generation via multimodal discrete diffusion models,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Viewmask-1-to-3: Multi-view consistent image generation via multimodal discrete diffusion models,

Reference 15

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This paper cites Learning without forgetting,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Learning without forgetting,

Reference 16

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Observation 76e9b3ab-0738-4095-aab0-3f9e4820bc4e · outbound

This paper cites Expert gate: Lifelong learning with a network of experts,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Expert gate: Lifelong learning with a network of experts,

Reference 17

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Observation e85e16af-3a99-44bc-b585-ddbda2942159 · outbound

This paper cites Semantic drift compensation for class- incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Semantic drift compensation for class- incremental learning,

Reference 18

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Observation 27bd8106-0bd6-4efa-8b74-be1217094a96 · outbound

This paper cites Icarl: Incremental classifier and representation learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Icarl: Incremental classifier and representation learning,

Reference 19

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Observation 5a6110ff-8bf9-42cb-8adf-440144052f90 · outbound

This paper cites Rmm: Reinforced memory management for class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Rmm: Reinforced memory management for class-incremental learning,

Reference 20

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Observation ca632852-bd9e-4fea-a0fa-212a41b477b4 · outbound

This paper cites Class-incremental exemplar compression for class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class-incremental exemplar compression for class-incremental learning,

Reference 21

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Observation 6181748b-e840-4110-84db-522c8fa1f82b · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Der: Dynamically expandable representation for class incremental learning,

Reference 22

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Observation 950462fc-d954-420d-a2ef-7e400c1d1144 · outbound

This paper cites Foster: Feature boosting and compression for class-incremental learn- ing,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Foster: Feature boosting and compression for class-incremental learn- ing,

Reference 23

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This paper cites Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion,

Reference 24

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Observation 1a192a70-3305-4195-af4e-8c53a6f4b55d · outbound

This paper cites A model or 603 exemplars: Towards memory-efficient class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning A model or 603 exemplars: Towards memory-efficient class-incremental learning,

Reference 25

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This paper cites Large-margin contrastive learning with distance polarization regularizer,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Large-margin contrastive learning with distance polarization regularizer,

Reference 26

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Observation 3df52747-456e-4293-9be4-5d16b8ec3afe · outbound

This paper cites Enhance vision-language alignment with noise,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Enhance vision-language alignment with noise,

Reference 27

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This paper cites Learning contrastive embedding in low-dimensional space,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Learning contrastive embedding in low-dimensional space,

Reference 28

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Observation b5fc3620-d82a-4e75-8469-f1205f360082 · outbound

This paper cites Re- visiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Re- visiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,

Reference 29

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This paper cites Continual Learning with Pre-Trained Models: A Survey.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 30

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Observation 1ef3892a-1605-46a8-9ba3-171cfff3be89 · outbound

This paper cites Deep metric learning for few-shot image classification: A review of recent develop- ments,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Deep metric learning for few-shot image classification: A review of recent develop- ments,

Reference 31

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Observation 44b9c05d-4648-4729-b206-b7d75c44f7bd · outbound

This paper cites Prototypical networks for few-shot learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Prototypical networks for few-shot learning,

Reference 32

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This paper cites Lora: Low-rank adaptation of large language models.,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Lora: Low-rank adaptation of large language models.,

Reference 33

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This paper cites Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise

Reference 34

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This paper cites Visual prompt tuning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Visual prompt tuning,

Reference 35

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Observation c79e286f-d253-4bc8-a8fc-7216f9c84468 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Adaptformer: Adapting vision transformers for scalable visual recognition,

Reference 36

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This paper cites Expand- able subspace ensemble for pre-trained model-based class- incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Expand- able subspace ensemble for pre-trained model-based class- incremental learning,

Reference 37

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This paper cites Podnet: Pooled outputs distillation for small-tasks incremen- tal learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Podnet: Pooled outputs distillation for small-tasks incremen- tal learning,

Reference 38

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Observation 17e35861-c566-4341-9d6a-9d12f523c102 · outbound

This paper cites Class- incremental learning with cross-space clustering and con- trolled transfer,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class- incremental learning with cross-space clustering and con- trolled transfer,

Reference 39

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This paper cites Improving global generalization and local personalization for federated learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Improving global generalization and local personalization for federated learning,

Reference 40

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Observation 7ee3b73d-5ab0-42bc-9b6c-97d1aafa070a · outbound

This paper cites Model atten- tion expansion for few-shot class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Model atten- tion expansion for few-shot class-incremental learning,

Reference 41

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Observation 00edd391-cc72-4816-9094-1187aa470b75 · outbound

This paper cites Class incremental learning with multi-teacher distillation,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class incremental learning with multi-teacher distillation,

Reference 42

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Observation 08aef56c-1a1c-4baf-beef-b5e21e84bb8a · outbound

This paper cites Protoconnet: Prototypical augmentation and alignment for open-set few-shot image classification,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Protoconnet: Prototypical augmentation and alignment for open-set few-shot image classification,

Reference 43

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Observation 23d08ff8-8822-47fb-945e-212b55ab1d97 · outbound

This paper cites Class- wise balancing data replay for federated class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Class- wise balancing data replay for federated class-incremental learning,

Reference 44

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Observation 09175e7a-37d7-4f4f-a971-b3a791df9ba8 · outbound

This paper cites Rainbow memory: Continual learning with a memory of diverse sam- ples,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Rainbow memory: Continual learning with a memory of diverse sam- ples,

Reference 45

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This paper cites Memorizing com- plementation network for few-shot class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Memorizing com- plementation network for few-shot class-incremental learning,

Reference 46

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Observation 284b2e2e-96f8-4a92-a6c0-2ea28a88c368 · outbound

This paper cites Dytox: Transformers for continual learning with dynamic token ex- pansion,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Dytox: Transformers for continual learning with dynamic token ex- pansion,

Reference 47

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This paper cites Overcoming recency bias of normalization statistics in continual learning: Balance and adaptation,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Overcoming recency bias of normalization statistics in continual learning: Balance and adaptation,

Reference 48

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Observation 192e5f8b-a2b2-41dc-b549-2f2f5b16f313 · outbound

This paper cites Explore how to inject beneficial noise in mllms,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Explore how to inject beneficial noise in mllms,

Reference 49

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Observation 85f1d3e0-aebd-4c25-bc3a-41e29f49f97e · outbound

This paper cites Learning to prompt for continual learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Learning to prompt for continual learning,

Reference 50

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Observation e103fca1-c1ec-4094-8f0c-19ba43c7041d · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 51

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Observation 1b4cc93e-88a3-4b63-94cc-3b03aa23dffc · outbound

This paper cites Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learn- ing,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learn- ing,

Reference 52

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This paper cites Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,

Reference 53

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Observation 0e2869a4-f687-4026-ad0b-e4d10861b752 · outbound

This paper cites Weighted ensemble models are strong continual learners,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Weighted ensemble models are strong continual learners,

Reference 54

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Observation 6388ed11-d6d8-4b72-ba82-11509538e880 · outbound

This paper cites Gradient reweighting: Towards imbalanced class- incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Gradient reweighting: Towards imbalanced class- incremental learning,

Reference 55

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Observation ec398c03-5293-4dea-a8e4-53b6e0ba3477 · outbound

This paper cites Recurrent network expansion for class incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Recurrent network expansion for class incremental learning,

Reference 56

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Observation d92aabdf-849d-428b-a8d4-d89e3ceeb45a · outbound

This paper cites Boosting multiple views for pretrained-based continual learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Boosting multiple views for pretrained-based continual learning,

Reference 57

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This paper cites Mixture of noise for pre-trained model-based class-incremental learning,.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Mixture of noise for pre-trained model-based class-incremental learning,

Reference 58

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Integrating task-specific and universal adapters for pre-trained model-based class- incremental learning,

Reference 59

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Knowledge memorization and rumination for pre-trained model-based class-incremental learning,

Reference 60

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Safe: Slow and fast parameter-efficient tuning for continual learning with pre-trained models,

Reference 61

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

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 62

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Learning multiple layers of features from tiny images,

Reference 63

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning The caltech-ucsd birds-200-2011 dataset,

Reference 64

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Benchmarking omni- vision representation through the lens of visual realms,

Reference 65

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Natural adversarial examples,

Reference 66

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 67

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Food-101– mining discriminative components with random forests,

Reference 68

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Un- certainty modeling for out-of-distribution generalization,

Reference 69

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Harnessing out-of-distribution examples via augmenting content and style,

Reference 70

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Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Distribution shift inversion for out-of-distribution prediction,

Reference 71

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