Memory-efficient Continual Learning with Neural Collapse Contrastive | Paper Citation Record

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This paper cites Gradient based sample selection for online continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Gradient based sample selection for online continual learning

Reference 1

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This paper cites Mudur, Rahaf Aljundi, and Eugene Belilovsky.

Memory-efficient Continual Learning with Neural Collapse Contrastive Mudur, Rahaf Aljundi, and Eugene Belilovsky

Reference 2

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This paper cites Dark experience for general continual learning: a strong, simple baseline.

Memory-efficient Continual Learning with Neural Collapse Contrastive Dark experience for general continual learning: a strong, simple baseline

Reference 3

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This paper cites New insights on reducing abrupt representation change in online continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive New insights on reducing abrupt representation change in online continual learning

Reference 4

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This paper cites Co$ˆ2$L: Con- trastive Continual Learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Co$ˆ2$L: Con- trastive Continual Learning

Reference 5

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This paper cites Regu- larizing with pseudo-negatives for continual self-supervised learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Regu- larizing with pseudo-negatives for continual self-supervised learning

Reference 6

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This paper cites Dokania, Thalaiyasingam Ajan- than, and Philip H.

Memory-efficient Continual Learning with Neural Collapse Contrastive Dokania, Thalaiyasingam Ajan- than, and Philip H

Reference 7

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This paper cites A simple framework for contrastive learning of visual representations.

Memory-efficient Continual Learning with Neural Collapse Contrastive A simple framework for contrastive learning of visual representations

Reference 8

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Observation 15808145-bfd7-4b6e-9b97-27cda85dd480 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Improved Baselines with Momentum Contrastive Learning

Reference 9

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This paper cites Driscoll, Lea Duncker, and Christopher D.

Memory-efficient Continual Learning with Neural Collapse Contrastive Driscoll, Lea Duncker, and Christopher D

Reference 10

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Observation dfe1ebab-4bb2-4104-873c-a69b2d347998 · outbound

This paper cites Explor- ing deep neural networks via layer-peeled model: Minority collapse in imbalanced training.

Memory-efficient Continual Learning with Neural Collapse Contrastive Explor- ing deep neural networks via layer-peeled model: Minority collapse in imbalanced training

Reference 11

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Observation 7c5922ae-ab8e-421b-b613-6f85b25269c0 · outbound

This paper cites Turrisi da Costa, Xavier Alameda- Pineda, Elisa Ricci, Karteek Alahari, and Julien Mairal.

Memory-efficient Continual Learning with Neural Collapse Contrastive Turrisi da Costa, Xavier Alameda- Pineda, Elisa Ricci, Karteek Alahari, and Julien Mairal

Reference 12

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This paper cites On the role of neural collapse in transfer learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive On the role of neural collapse in transfer learning

Reference 13

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This paper cites Hofer, Marc Niethammer, and Roland Kwitt.

Memory-efficient Continual Learning with Neural Collapse Contrastive Hofer, Marc Niethammer, and Roland Kwitt

Reference 14

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

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This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Momentum contrast for unsupervised visual rep- resentation learning

Reference 16

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This paper cites Deep residual learning for image recognition.

Memory-efficient Continual Learning with Neural Collapse Contrastive Deep residual learning for image recognition

Reference 17

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This paper cites Hinton, Oriol Vinyals, and Jeffrey Dean.

Memory-efficient Continual Learning with Neural Collapse Contrastive Hinton, Oriol Vinyals, and Jeffrey Dean

Reference 18

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This paper cites Learning a unified classifier incrementally via rebalancing.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learning a unified classifier incrementally via rebalancing

Reference 19

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 20

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This paper cites Continual learning with node-importance based adap- tive group sparse regularization.

Memory-efficient Continual Learning with Neural Collapse Contrastive Continual learning with node-importance based adap- tive group sparse regularization

Reference 21

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Observation d7791d45-2ca1-41a5-a09e-1a6f5ce1768b · outbound

This paper cites Supervised contrastive learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Supervised contrastive learning

Reference 22

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This paper cites Learning multiple layers of features from tiny images.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learning multiple layers of features from tiny images

Reference 23

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This paper cites Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes.

Memory-efficient Continual Learning with Neural Collapse Contrastive Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes

Reference 24

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 25

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This paper cites Contrastive continual learning with importance sampling and prototype-instance relation distillation.

Memory-efficient Continual Learning with Neural Collapse Contrastive Contrastive continual learning with importance sampling and prototype-instance relation distillation

Reference 26

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This paper cites Tcp: Triplet contrastive-relationship preserving for class-incremental learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Tcp: Triplet contrastive-relationship preserving for class-incremental learning

Reference 27

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Observation 213342eb-36c5-4981-9d2e-7bc2203c8e3c · outbound

This paper cites Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Reference 28

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This paper cites Loss decoupling for task- agnostic continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Loss decoupling for task- agnostic continual learning

Reference 29

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This paper cites Focal loss for dense object detection.

Memory-efficient Continual Learning with Neural Collapse Contrastive Focal loss for dense object detection

Reference 30

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This paper cites Gradient episodic memory for continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Gradient episodic memory for continual learning

Reference 31

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This paper cites Learning with mixture of prototypes for out-of-distribution detection.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learning with mixture of prototypes for out-of-distribution detection

Reference 32

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This paper cites Neural Collapse with Cross-Entropy Loss.

Memory-efficient Continual Learning with Neural Collapse Contrastive Neural Collapse with Cross-Entropy Loss

Reference 33

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This paper cites Representational continuity for unsu- pervised continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Representational continuity for unsu- pervised continual learning

Reference 34

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 35

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 36

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This paper cites Neu- ral collapse inspired contrastive continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Neu- ral collapse inspired contrastive continual learning

Reference 37

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 38

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This paper cites Continual learning by asymmetric loss approximation with single-side overestimation.

Memory-efficient Continual Learning with Neural Collapse Contrastive Continual learning by asymmetric loss approximation with single-side overestimation

Reference 39

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This paper cites Explicit regularization and implicit bias in deep network classifiers trained with the square loss.

Memory-efficient Continual Learning with Neural Collapse Contrastive Explicit regularization and implicit bias in deep network classifiers trained with the square loss

Reference 40

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 41

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 42

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This paper cites Learning to learn without forgetting by maximizing transfer and minimizing interference.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learning to learn without forgetting by maximizing transfer and minimizing interference

Reference 43

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 44

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Observation 6dedba1f-7293-4277-b6da-157133501423 · outbound

This paper cites Progressive Neural Networks.

Memory-efficient Continual Learning with Neural Collapse Contrastive Progressive Neural Networks

Reference 45

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This paper cites Learning equi-angular rep- resentations for online continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Learning equi-angular rep- resentations for online continual learning

Reference 46

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This paper cites Szatkowski, M.

Memory-efficient Continual Learning with Neural Collapse Contrastive Szatkowski, M

Reference 47

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 48

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Observation 29987bcb-a920-4bb7-b289-5b8c0fc6f7be · outbound

This paper cites Extended unconstrained features model for exploring deep neural collapse.

Memory-efficient Continual Learning with Neural Collapse Contrastive Extended unconstrained features model for exploring deep neural collapse

Reference 49

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This paper cites Gcr: Gradient coreset based replay buffer selection for continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Gcr: Gradient coreset based replay buffer selection for continual learning

Reference 50

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This paper cites Representation Learning with Contrastive Predictive Coding.

Memory-efficient Continual Learning with Neural Collapse Contrastive Representation Learning with Contrastive Predictive Coding

Reference 51

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 52

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This paper cites Provable contrastive continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Provable contrastive continual learning

Reference 53

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Observation 4c5d9198-b98a-4dc6-93fe-3c2c0dfa09a6 · outbound

This paper cites Inducing neural collapse in imbalanced learning: Do we really need a learnable clas- sifier at the end of deep neural network? In NeurIPS, 2022.

Memory-efficient Continual Learning with Neural Collapse Contrastive Inducing neural collapse in imbalanced learning: Do we really need a learnable clas- sifier at the end of deep neural network? In NeurIPS, 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.710227Z

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Observation 8915e45e-6bee-49cd-a6f6-5dd9c318b032 · outbound

This paper cites Neural collapse inspired feature- classifier alignment for few-shot class-incremental learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Neural collapse inspired feature- classifier alignment for few-shot class-incremental learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.693629Z

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Observation c3f07008-ee8e-49d8-a67d-73f503dc341c · outbound

This paper cites Neural collapse terminus: A unified so- lution for class incremental learning and its variants, 2023.

Memory-efficient Continual Learning with Neural Collapse Contrastive Neural collapse terminus: A unified so- lution for class incremental learning and its variants, 2023

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This paper cites Lifelong Learning with Dynamically Expandable Networks.

Memory-efficient Continual Learning with Neural Collapse Contrastive Lifelong Learning with Dynamically Expandable Networks

Reference 57

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Memory-efficient Continual Learning with Neural Collapse Contrastive Unresolved cited work

Reference 58

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This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Memory-efficient Continual Learning with Neural Collapse Contrastive Barlow twins: Self-supervised learning via redundancy reduction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.626057Z

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This paper cites Contin- ual learning through synaptic intelligence.

Memory-efficient Continual Learning with Neural Collapse Contrastive Contin- ual learning through synaptic intelligence

Reference 60

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This paper cites Integrating present and past in unsupervised continual learning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Integrating present and past in unsupervised continual learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.591785Z

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Observation 669b937e-71dd-4b36-bd33-74b615043445 · outbound

This paper cites Unleashing the power of contrastive self-supervised visual models via contrast-regularized fine-tuning.

Memory-efficient Continual Learning with Neural Collapse Contrastive Unleashing the power of contrastive self-supervised visual models via contrast-regularized fine-tuning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.574754Z

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Observation 0fd26bbe-0e35-4aa9-b334-da00aa4ad1ba · outbound

This paper cites On the optimization landscape of neural col- lapse under mse loss: Global optimality with unconstrained features.

Memory-efficient Continual Learning with Neural Collapse Contrastive On the optimization landscape of neural col- lapse under mse loss: Global optimality with unconstrained features

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.557174Z

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Observation c29f2854-7042-4873-b7dc-79758541dfb0 · outbound

This paper cites A geometric analysis of neu- ral collapse with unconstrained features.

Memory-efficient Continual Learning with Neural Collapse Contrastive A geometric analysis of neu- ral collapse with unconstrained features

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:57.537913Z

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