Continual Knowledge Consolidation LORA for Domain Incremental Learning | Paper Citation Record

Observation 20378d9c-b18c-483e-8a62-4525ee355c79 · outbound

This paper cites Chen and B.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Chen and B

Reference 1

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Observation 335ba3ab-f5d1-4c05-a21a-27f21943c06e · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual lifelong learning with neural networks: A review,

Reference 2

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Observation a5ee6e02-2588-4700-a67e-c91375270966 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class-incremental learning: Survey and performance evaluation on image classification,

Reference 3

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Observation 52907483-1af8-440c-859f-a563d4361090 · outbound

This paper cites Class-incremental learning: A survey.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class-incremental learning: A survey

Reference 4

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Observation a849921f-aa16-4a8f-b09b-1fc0d08d9f6b · outbound

This paper cites On the stability-plasticity dilemma of class- incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning On the stability-plasticity dilemma of class- incremental learning,

Reference 5

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Observation 83f0f88f-77e5-4419-aa84-8b240904ce46 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Overcoming catastrophic forgetting in neural networks,

Reference 6

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Observation de09f504-d75b-4620-9b9e-73add8826291 · outbound

This paper cites Continual Learning via Inter-Task Synaptic Mapping.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual Learning via Inter-Task Synaptic Mapping

Reference 7

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Observation b3c596bc-0472-4757-bacb-e6386667419a · outbound

This paper cites Overcoming catastrophic forgetting by neuron-level plasticity control,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Overcoming catastrophic forgetting by neuron-level plasticity control,

Reference 8

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Observation 4d1228cb-90ac-461d-ba39-019a6517eb2a · outbound

This paper cites Continual learning through synaptic intelligence,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning through synaptic intelligence,

Reference 9

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Observation 9695ca68-8885-48b1-9313-c726cb8b7180 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Memory aware synapses: Learning what (not) to forget,

Reference 10

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Observation 77fac399-12cc-42ed-be0f-03f17ccb72a4 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Reference 11

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Observation 71da59ee-9d29-4aa9-b161-f82f93bd7dc9 · outbound

This paper cites Progress & Compress: A scalable framework for continual learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Progress & Compress: A scalable framework for continual learning

Reference 12

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Observation 31f21202-42b1-45e4-88c1-7d76640009a7 · outbound

This paper cites CPR: Classifier-Projection Regularization for Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning CPR: Classifier-Projection Regularization for Continual Learning

Reference 13

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Observation b8a579b5-f405-4ef1-9ec6-e3a01746e95b · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Efficient Lifelong Learning with A-GEM

Reference 14

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Observation 63388370-d3a4-43ad-980e-62cccd735c14 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning icarl: Incremental classifier and representation learning,

Reference 15

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Observation 322f66ea-6e98-4033-8f22-b90d2152b347 · outbound

This paper cites On tiny episodic memories in continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning On tiny episodic memories in continual learning,

Reference 16

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Observation 4db97b2d-6a3b-482e-a4bd-885cfa870ff7 · outbound

This paper cites Using hindsight to anchor past knowledge in continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Using hindsight to anchor past knowledge in continual learning,

Reference 17

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Observation 3a103d4b-5a39-481b-9ffc-9b592a5ea190 · outbound

This paper cites Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dark Experience for General Continual Learning: a Strong, Simple Baseline

Reference 18

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Observation cd3f3d40-c139-4f0a-b953-ccaf304074d4 · outbound

This paper cites Scalable adversarial online continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Scalable adversarial online continual learning,

Reference 19

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Observation f304af27-e1ba-4f4b-925d-7898b2908142 · outbound

This paper cites Class- incremental learning via knowledge amalgamation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class- incremental learning via knowledge amalgamation,

Reference 20

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Observation fbcc3812-f5d5-4f78-9ade-7f5ba1d0b699 · outbound

This paper cites Assessor-guided learning for continual environments,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Assessor-guided learning for continual environments,

Reference 21

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Observation 6389b27d-47c4-416d-97f3-47810151732f · outbound

This paper cites Gradient episodic memory for continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Gradient episodic memory for continual learning,

Reference 22

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Observation 1b701a10-ff98-482e-97d9-76fc141c4bc2 · outbound

This paper cites Continual learning with deep generative replay,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning with deep generative replay,

Reference 23

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Observation 10426cc3-3478-4ada-8247-c34a6e68cbd0 · outbound

This paper cites Adaptive progressive continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Adaptive progressive continual learning,

Reference 24

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Observation d48f348b-4417-4774-abc0-1a86ed9ea0b2 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 252090326.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252090326

Reference 25

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Observation e1723379-5bb2-4f36-bf17-86d15b820574 · outbound

This paper cites Unsupervised continual learning in streaming environments,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unsupervised continual learning in streaming environments,

Reference 26

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Observation 95145d65-61bf-433f-8f55-d5b7e31d3d52 · outbound

This paper cites Unsupervised continual learning via self-adaptive deep clustering approach,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unsupervised continual learning via self-adaptive deep clustering approach,

Reference 27

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Observation b63f27f3-12e3-4b5c-a896-51fc7806b6dc · outbound

This paper cites Reinforced continual learning for graphs,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Reinforced continual learning for graphs,

Reference 28

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Observation 733b565c-0472-4d89-9323-e2226afb0469 · outbound

This paper cites Learning to prompt for continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Learning to prompt for continual learning,

Reference 29

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Observation 790d3e05-89b2-4f23-a61e-c0014767efd5 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 30

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Observation 4a737c83-0562-45a7-94c1-262f4a14d27c · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Lifelong Learning with Dynamically Expandable Networks

Reference 31

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Observation 0f6ca6a9-db8c-4b7c-8956-b9698bf172c0 · outbound

This paper cites Continual learning using a kernel-based method over foundation models,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning using a kernel-based method over foundation models,

Reference 32

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Observation 4bcf2150-ad34-4ed6-9863-2a7e5296008f · outbound

This paper cites Continual learning with pre-trained models: A survey,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning with pre-trained models: A survey,

Reference 33

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Observation 6039cbf8-f4cb-4282-a185-7ed7cd3001a3 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 235658071.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 235658071

Reference 34

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Observation 7d3e7a3d-2b07-4f6f-9d9a-261b75307425 · outbound

This paper cites LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning

Reference 35

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Observation 9d5374e5-8cba-4083-9c97-bdc8c6c23deb · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 252089650.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252089650

Reference 36

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Observation 210973c8-ab9e-4a84-bab0-fc416b08f277 · outbound

This paper cites Three scenarios for continual learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Three scenarios for continual learning

Reference 37

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Observation 060fb5b7-2a33-4be4-a9d9-d83c9d10268c · outbound

This paper cites Compositional prompting for anti-forgetting in domain incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Compositional prompting for anti-forgetting in domain incremental learning,

Reference 38

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Observation 9766dd77-aad9-4dac-89ef-ae6e7251ff0f · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 248085201.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 248085201

Reference 39

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Observation 4e222073-45e2-422b-9a0d-8c73bff554eb · outbound

This paper cites Vision and language synergy for rehearsal free continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Vision and language synergy for rehearsal free continual learning,

Reference 40

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Observation bbd9340d-b4ee-445a-abdf-34de79402715 · outbound

This paper cites Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 41

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Observation ee7788c4-26af-4b7f-a134-99b51c72ba45 · outbound

This paper cites Few-shot class incremental learning via robust transformer approach,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Few-shot class incremental learning via robust transformer approach,

Reference 42

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Observation a7909ed8-6b73-40d3-b32b-42ebcba2132b · outbound

This paper cites Ad- dressing imbalanced domain-incremental learning through dual- balance collaborative experts,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Ad- dressing imbalanced domain-incremental learning through dual- balance collaborative experts,

Reference 43

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Observation 60576c79-3702-46d6-a611-6c1dae8d0af2 · outbound

This paper cites CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

Reference 44

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Observation 60eb1aff-da33-4c3c-8051-24582a6470ff · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Continual Knowledge Consolidation LORA for Domain Incremental Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 45

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 277313510.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 277313510

Reference 46

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Observation b1eec1a1-64ef-400f-98d0-1f8243654f3d · outbound

This paper cites Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

Reference 47

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Observation 25b91af0-b140-42da-a119-acc804e5b788 · outbound

This paper cites Calculating the singular values and pseudo- inverse of a matrix,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Calculating the singular values and pseudo- inverse of a matrix,

Reference 48

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Observation d0a23439-a163-4cc2-8594-f7d671fa458a · outbound

This paper cites Improving continual learning performance and efficiency with auxiliary classifiers,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Improving continual learning performance and efficiency with auxiliary classifiers,

Reference 49

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Observation bc170c42-76a0-4976-8f18-9d6a77fad75a · outbound

This paper cites Dualcp: Rehearsal-free domain-incremental learning via dual-level concept prototype,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dualcp: Rehearsal-free domain-incremental learning via dual-level concept prototype,

Reference 50

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 277272564.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 277272564

Reference 51

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Observation 5232f059-4817-442b-a4e3-f290abc5e234 · outbound

This paper cites Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

Reference 52

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Observation ffbf5cff-ae3e-4e52-8663-b6a36d306b58 · outbound

This paper cites Core50: a new dataset and benchmark for continuous object recognition,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Core50: a new dataset and benchmark for continuous object recognition,

Reference 53

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Observation d5a773bc-82f5-47d8-8610-7690ddd33c62 · outbound

This paper cites A continual deepfake detection benchmark: Dataset, methods, and essentials,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning A continual deepfake detection benchmark: Dataset, methods, and essentials,

Reference 54

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Observation 1f05d8bc-89af-4adf-b59d-456143c473ed · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Deep hashing network for unsupervised domain adaptation,

Reference 55

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Observation cc062dd3-f1b8-4c9b-8a9f-dcf3d92fd4f3 · outbound

This paper cites Componential prompt- knowledge alignment for domain incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Componential prompt- knowledge alignment for domain incremental learning,

Reference 56

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Observation 7c6ebaf8-af43-424c-b3f2-d7eb2ac45b58 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:53.893449Z

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Observation 8e34910f-8b6a-4846-90cb-736e62eb01c6 · outbound

This paper cites S3c: Self-supervised stochastic classifiers for few-shot class-incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning S3c: Self-supervised stochastic classifiers for few-shot class-incremental learning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:53.108999Z

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Observation 55ae5af7-7311-4085-a09f-dd06f661bfc6 · outbound

This paper cites Asymmetry in Low-Rank Adapters of Foundation Models.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Asymmetry in Low-Rank Adapters of Foundation Models

Reference 59

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Observation 517e09a4-bb95-4589-b756-48a8390523fd · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,

Reference 60

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Observation 278522ee-078a-4671-83f6-8d7bd19270ed · outbound

This paper cites A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:54.163876Z

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Observation 608a9599-8048-45f7-8601-581198c27321 · outbound

This paper cites an unresolved cited work.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unresolved cited work

Reference 62

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This paper cites Few-shot continual learning via flat-to-wide approaches,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Few-shot continual learning via flat-to-wide approaches,

Reference 63

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This paper cites Moment matching for multi-source domain adaptation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Moment matching for multi-source domain adaptation,

Reference 64

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This paper cites S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Reference 68

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This paper cites RanPAC: Random Projections and Pre-trained Models for Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning RanPAC: Random Projections and Pre-trained Models for Continual Learning

Reference 70

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning,

Reference 71

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning icarl: Incremental classifier and representation learning,

Reference 74

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This paper cites Connectionist models of recognition memory: constraints imposed by learning and forgetting functions.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Connectionist models of recognition memory: constraints imposed by learning and forgetting functions

Reference 75

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This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Continual Knowledge Consolidation LORA for Domain Incremental Learning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 76

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 37308416.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 37308416

Reference 2017

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 4254748.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 4254748

Reference 2018

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Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 234353728

Reference 2020

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Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 233710658

Reference 2021

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Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252089827

Reference 2022

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Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 278602871

Reference 2025

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