One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning | Paper Citation Record

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This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Foundational Models Defining a New Era in Vision: A Survey and Outlook

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This paper cites On the Opportunities and Risks of Foundation Models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning On the Opportunities and Risks of Foundation Models

Reference 2

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This paper cites Food-101--mining discriminative components with random forests.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Food-101--mining discriminative components with random forests

Reference 3

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This paper cites Describing textures in the wild.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Describing textures in the wild

Reference 4

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This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Parameter-efficient fine-tuning of large-scale pre-trained language models

Reference 5

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 6

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This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 7

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This paper cites One-shot learning of object categories.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning One-shot learning of object categories

Reference 8

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This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Model-agnostic meta-learning for fast adaptation of deep networks

Reference 9

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Observation fa95dbc5-b0dc-4b91-874b-86f65b3efc9b · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Clip-adapter: Better vision-language models with feature adapters

Reference 10

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This paper cites Domain aligned clip for few-shot classification.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Domain aligned clip for few-shot classification

Reference 11

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This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 12

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This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 13

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 14

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This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning The many faces of robustness: A critical analysis of out-of-distribution generalization

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This paper cites Natural adversarial examples.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Natural adversarial examples

Reference 16

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This paper cites Parameter-efficient transfer learning for nlp.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Parameter-efficient transfer learning for nlp

Reference 17

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This paper cites Lo RA : Low-rank adaptation of large language models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Lo RA : Low-rank adaptation of large language models

Reference 18

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This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Scaling up visual and vision-language representation learning with noisy text supervision

Reference 19

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This paper cites Maple: Multi-modal prompt learning.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Maple: Multi-modal prompt learning

Reference 20

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This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Self-regulating prompts: Foundational model adaptation without forgetting

Reference 21

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This paper cites 3d object representations for fine-grained categorization.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning 3d object representations for fine-grained categorization

Reference 22

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This paper cites Human-like systematic generalization through a meta-learning neural network.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Human-like systematic generalization through a meta-learning neural network

Reference 23

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Human-level concept learning through probabilistic program induction

Reference 24

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This paper cites Graphadapter: Tuning vision-language models with dual knowledge graph.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Graphadapter: Tuning vision-language models with dual knowledge graph

Reference 25

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This paper cites Patch-prompt aligned bayesian prompt tuning for vision-language models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Patch-prompt aligned bayesian prompt tuning for vision-language models

Reference 26

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This paper cites Vision-and-Language Pretrained Models: A Survey.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Vision-and-Language Pretrained Models: A Survey

Reference 27

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Fine-Grained Visual Classification of Aircraft

Reference 28

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Foundation models for generalist medical artificial intelligence

Reference 29

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Automated flower classification over a large number of classes

Reference 30

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Cats and dogs

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Learning transferable visual models from natural language supervision

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This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389--5400.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389--5400

Reference 33

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Imagenet large scale visual recognition challenge

Reference 34

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Unresolved cited work

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Meta-adapter: An online few-shot learner for vision-language model

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 37

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Meta-adam: An meta-learned adaptive optimizer with momentum for few-shot learning

Reference 38

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Matching networks for one shot learning

Reference 39

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Learning robust global representations by penalizing local predictive power

Reference 40

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Generalizing from a few examples: A survey on few-shot learning

Reference 41

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Sun database: Large-scale scene recognition from abbey to zoo

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Information-theoretic analysis of generalization capability of learning algorithms

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Low-rank few-shot adaptation of vision-language models

Reference 44

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Tip-adapter: Training-free adaption of clip for few-shot classification

Reference 45

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Metadiff: Meta-learning with conditional diffusion for few-shot learning

Reference 47

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Vision-language models for vision tasks: A survey

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Conditional prompt learning for vision-language models

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Learning to prompt for vision-language models

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This paper cites A comprehensive survey on pretrained foundation models: A history from bert to chatgpt.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning A comprehensive survey on pretrained foundation models: A history from bert to chatgpt

Reference 51

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This paper cites Less is more: A closer look at semantic-based few-shot learning.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Less is more: A closer look at semantic-based few-shot learning

Reference 52

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This paper cites Transductive few-shot learning with prototype-based label propagation by iterative graph refinement.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Transductive few-shot learning with prototype-based label propagation by iterative graph refinement

Reference 53

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This paper cites Asymmetry in low-rank adapters of foundation models.

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Asymmetry in low-rank adapters of foundation models

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One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning write newline

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