AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning | Paper Citation Record

Observation bc7e6967-2bae-4d84-8e35-23cfe296e2d4 · outbound

This paper cites Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models

Reference 1

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Observation 68b06fd7-c44e-425d-b381-f9ac5b99915b · outbound

This paper cites Layer Normalization.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Layer Normalization

Reference 2

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Observation 7850b16d-0bcb-49af-a46e-9bb0c15f84be · outbound

This paper cites Rainbow memory: Continual learning with a memory of diverse samples.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Rainbow memory: Continual learning with a memory of diverse samples

Reference 3

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Observation 0c46bc8b-5c9d-4c0d-9e9b-79f89b36ab4f · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.arXiv preprint arXiv:2106.10199, 2022.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.arXiv preprint arXiv:2106.10199, 2022

Reference 4

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Observation b42182fd-6713-43b9-ac2f-86281b6293dd · outbound

This paper cites Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning

Reference 5

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Observation 4f9203b4-9ea4-42ba-9d20-ae94e7487ad4 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning On Tiny Episodic Memories in Continual Learning

Reference 6

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Observation a19d4f70-c1bb-4fdb-86eb-054895bca8be · outbound

This paper cites Dual-teacher class-incremental learning with data- free generative replay.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Dual-teacher class-incremental learning with data- free generative replay

Reference 7

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Observation 3fa75caa-a336-4c4e-9dc3-b89284086cc6 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning A continual learning survey: Defying forgetting in classification tasks

Reference 8

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Observation 2ae3959b-8d48-438a-8f25-b7d296f71e10 · outbound

This paper cites Beyond Classification: Dynamic Adapter Routing for Continual Multimodal Retrieval.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Beyond Classification: Dynamic Adapter Routing for Continual Multimodal Retrieval

Reference 9

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Observation bc1c92c3-1b42-4c65-9619-2b4dd228b2cc · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Podnet: Pooled outputs distillation for small-tasks incremental learning

Reference 10

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Observation 3cbc8192-4401-47b2-903e-716c1660c812 · outbound

This paper cites Prompt-based exemplar super-compression and regeneration for class-incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Prompt-based exemplar super-compression and regeneration for class-incremental learning

Reference 11

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Observation bbd8fc2c-a019-477e-a01a-fed63f6cb271 · outbound

This paper cites inemo: Incremental neural mesh models for robust class-incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning inemo: Incremental neural mesh models for robust class-incremental learning

Reference 12

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Observation 294e0897-6b51-483f-82a3-20c3a159ec62 · outbound

This paper cites Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 13

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Observation b937c0cc-8930-4260-a5eb-8926a84c208f · outbound

This paper cites Gemmeke, Daniel P.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Gemmeke, Daniel P

Reference 14

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Observation 8eeb4785-dba7-400a-97bc-01df1b8d7591 · outbound

This paper cites ImageBind: One Embedding Space To Bind Them All.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning ImageBind: One Embedding Space To Bind Them All

Reference 15

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Observation 9e3e0bc7-dbeb-4b61-8af5-f292d4474a80 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 16

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Observation e6d3211c-603c-45b6-96c1-8ce12780e139 · outbound

This paper cites AudioCLIP: Extending CLIP to Image, Text and Audio.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning AudioCLIP: Extending CLIP to Image, Text and Audio

Reference 17

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Observation 47ee11aa-43b7-4716-a0ad-6c65dcb8966f · outbound

This paper cites ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio

Reference 18

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Observation 2b0536eb-8bca-4e3f-b61d-2f99f7605b93 · outbound

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

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 19

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Observation fd396283-0e5a-4c10-9d5e-0721cd7aaf5c · outbound

This paper cites Editing Models with Task Arithmetic.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Editing Models with Task Arithmetic

Reference 20

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Observation 1264e866-796f-4cb4-b048-da2060442de0 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

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Observation ed3f9cbb-ca34-4c62-b47c-bb4a926f1b58 · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Averaging Weights Leads to Wider Optima and Better Generalization

Reference 22

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Observation 603a4212-97f0-4677-b8c2-a0ba49f14428 · outbound

This paper cites Energy-based latent aligner for incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Energy-based latent aligner for incremental learning

Reference 23

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Observation ff9cc464-cdd7-4e43-b585-78e1b9be50f7 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.PNAS, 2017.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Overcoming catastrophic forgetting in neural networks.PNAS, 2017

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Observation 8205d905-38fc-435a-8b0b-153fdc27a2a9 · outbound

This paper cites Continual Learning with Weight Interpolation.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual Learning with Weight Interpolation

Reference 25

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Observation 0ff26b55-9274-43bd-9ba5-263cd156cfbc · outbound

This paper cites Online optimal control with linear dynamics and predictions: Algorithms and regret analysis.NeurIPS, 2019.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Online optimal control with linear dynamics and predictions: Algorithms and regret analysis.NeurIPS, 2019

Reference 26

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Observation bc06b0ab-1772-4419-8597-971ddef9d8f2 · outbound

This paper cites Online optimization with predictions and switching costs: Fast algorithms and the fundamental limit.IEEE TAC, 2020.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Online optimization with predictions and switching costs: Fast algorithms and the fundamental limit.IEEE TAC, 2020

Reference 27

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Observation dee321ae-4e3a-4d67-b53f-84320a01c36f · outbound

This paper cites Online optimal control with affine constraints.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Online optimal control with affine constraints

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Observation ae5f4ca8-6b14-40cf-bf4f-ea8858631274 · outbound

This paper cites Learning without Forgetting.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Learning without Forgetting

Reference 29

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Observation 49fb1aa0-e6fa-4d2e-b2c1-97b1da5f8499 · outbound

This paper cites Mnemonics training: Multi-class incremental learning without forgetting.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Mnemonics training: Multi-class incremental learning without forgetting

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Observation 4f5feac5-e437-4f63-8efd-6f69a4fb7a82 · outbound

This paper cites Adaptive aggregation networks for class-incremental learn- ing.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Adaptive aggregation networks for class-incremental learn- ing

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Observation f9490241-c0e8-408a-9979-65584d058418 · outbound

This paper cites Rmm: Reinforced memory management for class- incremental learning.NeurIPS, 34:3478–3490, 2021.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Rmm: Reinforced memory management for class- incremental learning.NeurIPS, 34:3478–3490, 2021

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Observation bf433aed-301c-46f9-bd6b-081dc29dbd7f · outbound

This paper cites Online hyperparameter optimization for class-incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Online hyperparameter optimization for class-incremental learning

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Observation 3534c86f-210d-48d2-a5e9-281534c341c1 · outbound

This paper cites Continual detection transformer for incremental object detection.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual detection transformer for incremental object detection

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Observation bdefc932-37b1-4721-99c2-1ec10ad6cf8b · outbound

This paper cites Wakening past concepts without past data: Class-incremental learning from online placebos.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Wakening past concepts without past data: Class-incremental learning from online placebos

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Observation d80dd701-4a69-4437-a073-5db1a855d715 · outbound

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

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Class-incremental exemplar compression for class-incremental learning

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Observation 4252e2bf-f7eb-4504-bf31-6ec5974d4e41 · outbound

This paper cites Merging Models with Fisher-Weighted Averaging.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Merging Models with Fisher-Weighted Averaging

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Observation 54bea47b-4fbe-4521-8dc5-c1e34eddcb00 · outbound

This paper cites Continual Vision-Language Representation Learning with Off-Diagonal Information.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual Vision-Language Representation Learning with Off-Diagonal Information

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Observation efe7e52f-e0b8-42a1-976c-a300fac7fc56 · outbound

This paper cites Continual Normalization: Rethinking Batch Normalization for Online Continual Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual Normalization: Rethinking Batch Normalization for Online Continual Learning

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Observation a93210ce-69be-45d5-9532-df173b9c625b · outbound

This paper cites Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning

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Observation 858f206e-3574-43c9-b57f-1d305503c658 · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Gdumb: A simple approach that questions our progress in continual learning

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Observation 616174c8-faa3-4041-86da-07eb84510d50 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Learning Transferable Visual Models From Natural Language Supervision

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Observation 1d2e5bc3-444c-4916-b00b-6b23a78853a9 · outbound

This paper cites iCaRL: Incre- mental classifier and representation learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning iCaRL: Incre- mental classifier and representation learning

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Observation 9f4ddd8a-5254-4f73-b1db-0ff103c59196 · outbound

This paper cites Continual learning with deep generative replay.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual learning with deep generative replay

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Observation 2c7c4112-b1c7-4e9e-a001-b051ab5586e6 · outbound

This paper cites On learning the geodesic path for incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning On learning the geodesic path for incremental learning

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Observation 344c8d19-e5fb-4029-bfce-383ca101885b · outbound

This paper cites Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning

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Observation 40eae3ef-4a7b-4ad6-ad8a-33cde96b428c · outbound

This paper cites Topology-preserving class- incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Topology-preserving class- incremental learning

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Observation 5114ee85-480b-425c-8d11-593a3efe69d8 · outbound

This paper cites C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap

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Observation 03715d29-359f-4e49-b5a1-7a992ea9b10c · outbound

This paper cites Foster: Feature boosting and compres- sion for class-incremental learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Foster: Feature boosting and compres- sion for class-incremental learning

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Observation ac5d0e8b-08a8-45ca-9025-6a32aa50683d · outbound

This paper cites Continual learning in cross-modal retrieval.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual learning in cross-modal retrieval

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Observation 74eae1e4-59fd-4d6f-83cf-86a405841c26 · outbound

This paper cites DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

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Observation f815908f-4f04-4d3e-ab0d-1a2d17958f11 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

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Resolution: unresolved; no resolver link, observed 2026-08-02T00:14:56.914549Z

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Observation a07aab5c-b3ea-4501-a9cc-fd2b3b49e25d · outbound

This paper cites Robust fine-tuning of zero-shot models.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Robust fine-tuning of zero-shot models

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Observation befbc630-ec18-4279-a73a-62958dcdf794 · outbound

This paper cites Memory replay gans: Learning to generate new categories without forgetting.NeurIPS, 2018.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Memory replay gans: Learning to generate new categories without forgetting.NeurIPS, 2018

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Observation b1f2c7ae-eaac-49a9-8238-c86604d361e1 · outbound

This paper cites Wav2CLIP: Learning Robust Audio Representations From CLIP.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Wav2CLIP: Learning Robust Audio Representations From CLIP

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Observation e697233c-4304-4514-afa3-70cf8bd3663d · outbound

This paper cites Group Normalization.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Group Normalization

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Observation 53ac5a98-5034-4020-b53b-255f85075aea · outbound

This paper cites Generative negative text replay for continual vision-language pretraining.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Generative negative text replay for continual vision-language pretraining

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Observation 49ec1ff5-4612-4fff-a6da-3b2deefe22fe · outbound

This paper cites Low-rank Prompt Interaction for Continual Vision-Language Retrieval.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Low-rank Prompt Interaction for Continual Vision-Language Retrieval

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This paper cites Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

Reference 59

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

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Semantic drift compensation for class-incremental learning

Reference 60

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This paper cites Continual learning for abdominal multi-organ and tumor segmentation.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual learning for abdominal multi-organ and tumor segmentation

Reference 61

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This paper cites Learning without forgetting for vision-language models.TPAMI, 2025.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Learning without forgetting for vision-language models.TPAMI, 2025

Reference 62

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This paper cites Anytime Continual Learning for Open Vocabulary Classification.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Anytime Continual Learning for Open Vocabulary Classification

Reference 63

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This paper cites Continual Learning in Open-vocabulary Classification with Complementary Memory Systems.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Continual Learning in Open-vocabulary Classification with Complementary Memory Systems

Reference 64

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This paper cites How to teach large multimodal models new skills? InECCV, 2026.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning How to teach large multimodal models new skills? InECCV, 2026

Reference 65

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