Context-Aware Multimodal Pretraining | Paper Citation Record

Observation 70c765bd-bb09-4136-8981-ce3cf2be048d · outbound

This paper cites Towards in-context scene understanding.

Context-Aware Multimodal Pretraining Towards in-context scene understanding

Reference 1

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Observation c0e9a56c-d66c-4990-8c39-9eac67e6e79a · outbound

This paper cites Food-101 – mining discriminative components with ran- dom forests.

Context-Aware Multimodal Pretraining Food-101 – mining discriminative components with ran- dom forests

Reference 2

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Observation 77018c0c-9f9a-4993-8ebe-d7d729fea3ab · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Context-Aware Multimodal Pretraining JAX: composable transformations of Python+NumPy programs, 2018

Reference 3

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Observation 45091425-3262-43a2-9787-d4ab8e48c3f3 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Context-Aware Multimodal Pretraining Emerging properties in self-supervised vision transformers

Reference 4

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Observation 203c6aed-dd69-44da-872c-2cc3c2938ed6 · outbound

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

Context-Aware Multimodal Pretraining A simple framework for contrastive learning of visual representations

Reference 5

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Observation 002d7e9c-d335-436e-8bfe-d192d5a83437 · outbound

This paper cites PaLI: A jointly- scaled multilingual language-image model.

Context-Aware Multimodal Pretraining PaLI: A jointly- scaled multilingual language-image model

Reference 6

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Observation 1983bc03-c6d4-4a5c-868e-40201bee3ca5 · outbound

This paper cites Meta-baseline: Exploring simple meta- learning for few-shot learning.

Context-Aware Multimodal Pretraining Meta-baseline: Exploring simple meta- learning for few-shot learning

Reference 7

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Observation efd77a6e-def5-4984-8e05-27718a21572b · outbound

This paper cites Remote sens- ing image scene classification: Benchmark and state of the art.

Context-Aware Multimodal Pretraining Remote sens- ing image scene classification: Benchmark and state of the art

Reference 8

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Observation 7cf14394-847a-4cfa-b7e4-d329de04a286 · outbound

This paper cites Cimpoi, S.

Context-Aware Multimodal Pretraining Cimpoi, S

Reference 9

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Observation caa77555-f1f3-4b56-a4f5-c5308f884a12 · outbound

This paper cites Embedding arithmetic of multi- modal queries for image retrieval.

Context-Aware Multimodal Pretraining Embedding arithmetic of multi- modal queries for image retrieval

Reference 10

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Observation 0aeefcd9-4f7b-48a5-8438-b8a75a987473 · outbound

This paper cites an unresolved cited work.

Context-Aware Multimodal Pretraining Unresolved cited work

Reference 11

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Observation be71853a-f6b3-41e6-ac97-e522472987fa · outbound

This paper cites Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation.

Context-Aware Multimodal Pretraining Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation

Reference 12

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Observation 48e47d30-883a-4748-a93a-f4daee470184 · outbound

This paper cites An im- age is worth 16x16 words: Transformers for image recog- nition at scale.

Context-Aware Multimodal Pretraining An im- age is worth 16x16 words: Transformers for image recog- nition at scale

Reference 13

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Observation 791e29dc-2e3a-4abd-88d3-8197b9bbf257 · outbound

This paper cites With a little help from my friends: Nearest-neighbor contrastive learning of vi- sual representations.

Context-Aware Multimodal Pretraining With a little help from my friends: Nearest-neighbor contrastive learning of vi- sual representations

Reference 14

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Observation b1ab9afa-8d8e-4ce1-a16f-17109cceba86 · outbound

This paper cites Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding.

Context-Aware Multimodal Pretraining Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding

Reference 15

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Observation 76b9f8e3-6223-46ff-b754-0bbe8ed0982f · outbound

This paper cites Data curation via joint example selection further accelerates multimodal learning.

Context-Aware Multimodal Pretraining Data curation via joint example selection further accelerates multimodal learning

Reference 16

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Observation 1eebf32f-e751-4382-9dac-0216922ce997 · outbound

This paper cites Data determines distributional robustness in contrastive lan- guage image pre-training (clip).

Context-Aware Multimodal Pretraining Data determines distributional robustness in contrastive lan- guage image pre-training (clip)

Reference 17

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Observation 3f82e4a1-ddc8-48d1-a892-5ea3aecd3922 · outbound

This paper cites Caption supervision enables robust learners.

Context-Aware Multimodal Pretraining Caption supervision enables robust learners

Reference 18

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Observation 3344ca7d-cb0b-4469-958f-9d0f9eb12bf9 · outbound

This paper cites Context-aware meta-learning.

Context-Aware Multimodal Pretraining Context-aware meta-learning

Reference 19

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Observation 3ecec771-1e71-44f9-9788-8068b4d7989e · outbound

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

Context-Aware Multimodal Pretraining Model- agnostic meta-learning for fast adaptation of deep networks

Reference 20

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Observation 4ce5867a-c163-46ac-90e3-90ae46b03a87 · outbound

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

Context-Aware Multimodal Pretraining Clip-adapter: Better vision-language models with feature adapters

Reference 21

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Observation ea69ba92-37d5-4ba2-ae99-f7e68baa6f06 · outbound

This paper cites Towards flexible perception with visual memory.

Context-Aware Multimodal Pretraining Towards flexible perception with visual memory

Reference 22

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Observation c1af1f92-3eac-4a0b-91d9-ba0b27715a8d · outbound

This paper cites Cyclip: Cyclic con- trastive language-image pretraining.

Context-Aware Multimodal Pretraining Cyclip: Cyclic con- trastive language-image pretraining

Reference 23

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Observation 9b34ef7e-5e95-4083-9bcb-6d08c7968367 · outbound

This paper cites kNN-CLIP: Retrieval enables training-free segmenta- tion on continually expanding large vocabularies.

Context-Aware Multimodal Pretraining kNN-CLIP: Retrieval enables training-free segmenta- tion on continually expanding large vocabularies

Reference 24

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Observation 72718a6f-1246-4ebd-941a-9664a307b1c3 · outbound

This paper cites Calip: zero-shot enhancement of clip with parameter-free attention.

Context-Aware Multimodal Pretraining Calip: zero-shot enhancement of clip with parameter-free attention

Reference 25

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Observation c3d15297-de6e-461b-895b-ae9edcc6fb1e · outbound

This paper cites Anchor-based robust finetuning of vision-language models.

Context-Aware Multimodal Pretraining Anchor-based robust finetuning of vision-language models

Reference 26

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Observation 73352938-bd53-4430-858a-da6a8b60f17d · outbound

This paper cites Dota: Dis- tributional test-time adaptation of vision-language models.

Context-Aware Multimodal Pretraining Dota: Dis- tributional test-time adaptation of vision-language models

Reference 27

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Observation 31521a41-7721-487b-b3dc-687f24777925 · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.

Context-Aware Multimodal Pretraining Momentum Contrast for Unsupervised Visual Representation Learning

Reference 28

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Observation 04fa7485-abd6-4db2-843f-8b06ca16ce79 · outbound

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

Context-Aware Multimodal Pretraining Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 29

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Observation 0f11c2db-bca9-4a8d-a902-59f97392e053 · outbound

This paper cites Ross, and Alireza Fathi.

Context-Aware Multimodal Pretraining Ross, and Alireza Fathi

Reference 30

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Observation 712c3c31-e308-433f-b43e-98f09a666d95 · outbound

This paper cites An open access repository of images on plant health to enable the development of mobile disease diagnostics.

Context-Aware Multimodal Pretraining An open access repository of images on plant health to enable the development of mobile disease diagnostics

Reference 31

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Observation 65be5d2f-e5e3-4871-8b7c-c4c697f0b0cc · outbound

This paper cites Retrieval-enhanced contrastive vision-text mod- els.

Context-Aware Multimodal Pretraining Retrieval-enhanced contrastive vision-text mod- els

Reference 32

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Observation 630f52a3-f4d3-4bba-bc2c-aabb5916cdb2 · outbound

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

Context-Aware Multimodal Pretraining Scaling up visual and vision-language representation learning with noisy text supervision

Reference 33

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Observation 301c0320-f0e9-4ad3-927e-e8c3da1ea784 · outbound

This paper cites Billion- scale similarity search with gpus.

Context-Aware Multimodal Pretraining Billion- scale similarity search with gpus

Reference 34

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Observation 4e7093eb-6566-4511-bab5-8903fb954295 · outbound

This paper cites Multi-class texture analysis in colorectal cancer histology.

Context-Aware Multimodal Pretraining Multi-class texture analysis in colorectal cancer histology

Reference 35

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Observation a12c991e-ddef-4b57-b744-3b4c493c9bdd · outbound

This paper cites Maple: Multi-modal prompt learning.

Context-Aware Multimodal Pretraining Maple: Multi-modal prompt learning

Reference 36

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Observation 3f0178d9-5fb9-4878-9322-7773ebf4b246 · outbound

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

Context-Aware Multimodal Pretraining Self-regulating prompts: Foundational model adaptation without forgetting

Reference 37

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Observation 40bbfb34-0c1b-4bb5-9f79-d237c8071b8b · outbound

This paper cites Datadream: Few-shot guided dataset generation.

Context-Aware Multimodal Pretraining Datadream: Few-shot guided dataset generation

Reference 38

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Observation 8083119b-cd98-48a2-8670-f63045aa784d · outbound

This paper cites Kirchhof, K.

Context-Aware Multimodal Pretraining Kirchhof, K

Reference 39

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Observation 21f16633-77be-402c-b7ee-a9f2837d006b · outbound

This paper cites Wilds: A benchmark of in-the-wild distri- bution shifts.

Context-Aware Multimodal Pretraining Wilds: A benchmark of in-the-wild distri- bution shifts

Reference 40

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Observation 52bea425-8108-4dfb-bd98-0a052fa4d840 · outbound

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

Context-Aware Multimodal Pretraining 3d object representations for fine-grained categorization

Reference 41

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Observation a56237f0-2a9a-4d2b-b657-7fa37b0660a4 · outbound

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

Context-Aware Multimodal Pretraining Learning multiple layers of features from tiny images

Reference 42

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This paper cites SentencePiece: A sim- ple and language independent subword tokenizer and deto- kenizer for neural text processing.

Context-Aware Multimodal Pretraining SentencePiece: A sim- ple and language independent subword tokenizer and deto- kenizer for neural text processing

Reference 43

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This paper cites Meta-learning with differentiable con- vex optimization.

Context-Aware Multimodal Pretraining Meta-learning with differentiable con- vex optimization

Reference 44

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This paper cites Universal representation learning from multiple domains for few- shot classification.

Context-Aware Multimodal Pretraining Universal representation learning from multiple domains for few- shot classification

Reference 45

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Observation cc5f9c01-79bb-4ce3-b473-f5a0519ef951 · outbound

This paper cites The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning.

Context-Aware Multimodal Pretraining The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning

Reference 46

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Observation 100e03d1-66a3-4846-938d-ae726ac4617d · outbound

This paper cites Decoupled weight de- cay regularization.

Context-Aware Multimodal Pretraining Decoupled weight de- cay regularization

Reference 47

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Observation 64fc52eb-12c5-477a-8321-317b216e4e17 · outbound

This paper cites A closer look at few-shot classification again.

Context-Aware Multimodal Pretraining A closer look at few-shot classification again

Reference 48

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Observation 66be19f4-ae75-41fa-a267-c0469a025420 · outbound

This paper cites Efficient and ro- bust approximate nearest neighbor search using hierarchi- cal navigable small world graphs.

Context-Aware Multimodal Pretraining Efficient and ro- bust approximate nearest neighbor search using hierarchi- cal navigable small world graphs

Reference 49

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This paper cites Visual classification via description from large language models.

Context-Aware Multimodal Pretraining Visual classification via description from large language models

Reference 50

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Observation 1c6ae813-cfd4-497c-915c-53081821f268 · outbound

This paper cites Understanding retrieval- augmented task adaptation for vision-language models.

Context-Aware Multimodal Pretraining Understanding retrieval- augmented task adaptation for vision-language models

Reference 51

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Observation 64f891d0-f16e-4700-9fda-89deececb47a · outbound

This paper cites Slip: Self-supervision meets language-image pre- training.

Context-Aware Multimodal Pretraining Slip: Self-supervision meets language-image pre- training

Reference 52

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Observation 34267b4b-0cd9-4537-88cb-0d25cf3faaee · outbound

This paper cites iCassava 2019 Fine-Grained Visual Categorization Challenge.

Context-Aware Multimodal Pretraining iCassava 2019 Fine-Grained Visual Categorization Challenge

Reference 53

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Observation 6a6f778a-d042-4d47-b99e-0728aea139c9 · outbound

This paper cites Revisiting knn- based image classification system with high-capacity stor- age.

Context-Aware Multimodal Pretraining Revisiting knn- based image classification system with high-capacity stor- age

Reference 54

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Observation a4ba33e8-925d-4752-8028-e3c9221f3ba8 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Context-Aware Multimodal Pretraining On First-Order Meta-Learning Algorithms

Reference 55

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This paper cites CHiLS: Zero-shot image classifica- tion with hierarchical label sets.

Context-Aware Multimodal Pretraining CHiLS: Zero-shot image classifica- tion with hierarchical label sets

Reference 56

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Observation ffc3d409-feb7-4a51-9ff2-9f8763f5a71b · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Context-Aware Multimodal Pretraining Representation Learning with Contrastive Predictive Coding

Reference 57

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This paper cites an unresolved cited work.

Context-Aware Multimodal Pretraining Unresolved cited work

Reference 58

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Observation b27edba5-7226-4014-bcc7-df36401432a1 · outbound

This paper cites Svl-adapter: Self-supervised adapter for vision-language pretrained models.

Context-Aware Multimodal Pretraining Svl-adapter: Self-supervised adapter for vision-language pretrained models

Reference 59

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Observation aad77fb2-7711-4292-a136-f79e59bc68a7 · outbound

This paper cites an unresolved cited work.

Context-Aware Multimodal Pretraining Unresolved cited work

Reference 60

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Observation fb1fd241-37be-4acc-b86f-2b62a2cce57a · outbound

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

Context-Aware Multimodal Pretraining Moment matching for multi-source domain adaptation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:58.154247Z

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Reference 62

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Context-Aware Multimodal Pretraining Online Continual Learning Without the Storage Constraint

Reference 63

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Context-Aware Multimodal Pretraining What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 64

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Context-Aware Multimodal Pretraining Learning transferable visual models from natural language supervision

Reference 65

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Reference 66

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Context-Aware Multimodal Pretraining Meta-learning with implicit gradients

Reference 67

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Context-Aware Multimodal Pretraining Towards to- tal recall in industrial anomaly detection

Reference 68

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Context-Aware Multimodal Pretraining Sophia Koepke, Oriol Vinyals, Cordelia Schmid, and Zeynep Akata

Reference 69

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Context-Aware Multimodal Pretraining A Practitioner's Guide to Continual Multimodal Pretraining

Reference 70

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Context-Aware Multimodal Pretraining Berg, and Li Fei-Fei

Reference 71

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Context-Aware Multimodal Pretraining Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, and Raia Had- sell

Reference 72

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Context-Aware Multimodal Pretraining Is a caption worth a thou- sand images? a study on representation learning

Reference 73

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Context-Aware Multimodal Pretraining Scott, Andrew C

Reference 74

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Context-Aware Multimodal Pretraining statsmodels: Econo- metric and statistical modeling with python

Reference 75

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Context-Aware Multimodal Pretraining Prototyp- ical networks for few-shot learning

Reference 76

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Context-Aware Multimodal Pretraining CLIP models are few-shot learners: Empirical stud- ies on VQA and visual entailment

Reference 77

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Context-Aware Multimodal Pretraining Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning

Reference 78

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Context-Aware Multimodal Pretraining Torr, and Timothy M

Reference 79

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Context-Aware Multimodal Pretraining A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision

Reference 80

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Context-Aware Multimodal Pretraining Reflecting on the state of rehearsal-free continual learning with pretrained models

Reference 81

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Context-Aware Multimodal Pretraining Tenenbaum, and Phillip Isola

Reference 82

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Context-Aware Multimodal Pretraining Learning a universal template for few-shot dataset generalization

Reference 83

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Context-Aware Multimodal Pretraining Sus-x: Training-free name-only transfer of vision-language models

Reference 84

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Context-Aware Multimodal Pretraining No ”zero-shot” without exponential data: Pretraining concept frequency determines multimodal model performance

Reference 85

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Context-Aware Multimodal Pretraining Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 86

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Context-Aware Multimodal Pretraining Matching networks for one shot learning

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.891598Z

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Context-Aware Multimodal Pretraining Learning robust global representations by penalizing local predictive power

Reference 88

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Context-Aware Multimodal Pretraining SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Reference 89

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Context-Aware Multimodal Pretraining A hard-to-beat baseline for training- free CLIP-based adaptation

Reference 90

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Context-Aware Multimodal Pretraining Welinder, S

Reference 91

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Context-Aware Multimodal Pretraining Cascade prompt learning for vision-language model adaptation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.846173Z

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This paper cites Yu, and Dahua Lin.

Context-Aware Multimodal Pretraining Yu, and Dahua Lin

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.835015Z

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Reference 94

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Context-Aware Multimodal Pretraining Ra-clip: Retrieval augmented contrastive language-image pre-training

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.812976Z

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This paper cites MetaFun: Meta-learning with itera- tive functional updates.

Context-Aware Multimodal Pretraining MetaFun: Meta-learning with itera- tive functional updates

Reference 96

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Observation 6127758c-8ad4-44f4-9215-885eb7169f91 · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification.

Context-Aware Multimodal Pretraining Bag-of-visual-words and spatial extensions for land-use classification

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.790291Z

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Observation 1b7a84d9-5cdd-41d1-9862-cf12abb957c2 · outbound

This paper cites TapNet: Neural network augmented with task-adaptive projection for few-shot learning.

Context-Aware Multimodal Pretraining TapNet: Neural network augmented with task-adaptive projection for few-shot learning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.777850Z

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Observation df4d8c5c-6d8b-41b0-a767-f9c6521dc099 · outbound

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Context-Aware Multimodal Pretraining Sigmoid loss for language image pre-training

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:37:57.765024Z

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Observation e6204512-50f0-4d9c-b946-a3f74601fde8 · outbound

This paper cites Deepemd: Few-shot image classification with differen- tiable earth mover’s distance and structured classifiers.

Context-Aware Multimodal Pretraining Deepemd: Few-shot image classification with differen- tiable earth mover’s distance and structured classifiers

Reference 100

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