CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance | Paper Citation Record

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This paper cites Contrastive learning of medical visual representations from paired images and text,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Contrastive learning of medical visual representations from paired images and text,

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This paper cites Learning transferable visual models from natural language supervision,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning transferable visual models from natural language supervision,

Reference 2

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This paper cites Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,

Reference 3

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Scaling up visual and vision-language representation learning with noisy text supervision,

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This paper cites ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data

Reference 5

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This paper cites Reproducible scaling laws for contrastive language-image learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Reproducible scaling laws for contrastive language-image learning,

Reference 6

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This paper cites Scaling language- image pre-training via masking,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Scaling language- image pre-training via masking,

Reference 7

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This paper cites An inverse scaling law for clip training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An inverse scaling law for clip training,

Reference 8

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This paper cites Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm,

Reference 9

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This paper cites Too large; data reduction for vision-language pre-training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Too large; data reduction for vision-language pre-training,

Reference 10

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Slip: Self-supervision meets language-image pre-training,

Reference 11

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 12

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This paper cites Microsoft coco: Common objects in context,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Microsoft coco: Common objects in context,

Reference 13

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This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image cap- tioning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image cap- tioning,

Reference 14

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This paper cites Image as a foreign language: Beit pretraining for vision and vision-language tasks,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Image as a foreign language: Beit pretraining for vision and vision-language tasks,

Reference 15

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This paper cites The crucial role of data collection in research: Techniques, challenges, and best practices,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The crucial role of data collection in research: Techniques, challenges, and best practices,

Reference 16

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Observation 8288412d-19ea-4192-9e22-fd875dd932ea · outbound

This paper cites Tinyclip: Clip distillation via affinity mimicking and weight inheritance,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Tinyclip: Clip distillation via affinity mimicking and weight inheritance,

Reference 17

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Observation 512d4a61-f85b-45fc-934b-32f5880b9690 · outbound

This paper cites Clip-kd: An empirical study of clip model distillation,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Clip-kd: An empirical study of clip model distillation,

Reference 18

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This paper cites Mobileclip: Fast image-text models through multi-modal reinforced training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Mobileclip: Fast image-text models through multi-modal reinforced training,

Reference 19

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Observation abced0f7-245b-4d67-89f8-3de1d07393e5 · outbound

This paper cites ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model

Reference 20

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This paper cites CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

Reference 21

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This paper cites Module-wise adaptive distillation for multimodality foun- dation models,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Module-wise adaptive distillation for multimodality foun- dation models,

Reference 22

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This paper cites Self-supervised co-training for video representation learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Self-supervised co-training for video representation learning,

Reference 23

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This paper cites Improving generalization via scalable neighborhood component analysis,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Improving generalization via scalable neighborhood component analysis,

Reference 24

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance With a little help from my friends: Nearest-neighbor contrastive learning of visual representations,

Reference 25

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This paper cites Promoting semantic connectivity: Dual nearest neighbors contrastive learning for unsupervised domain generalization,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Promoting semantic connectivity: Dual nearest neighbors contrastive learning for unsupervised domain generalization,

Reference 26

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This paper cites Imagenet: A large-scale hierarchical image database,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Imagenet: A large-scale hierarchical image database,

Reference 27

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This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,

Reference 28

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This paper cites Vision-language models for vision tasks: A survey,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vision-language models for vision tasks: A survey,

Reference 29

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This paper cites A Survey of Vision-Language Pre-Trained Models.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance A Survey of Vision-Language Pre-Trained Models

Reference 30

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This paper cites Vlp: A survey on vision-language pre-training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vlp: A survey on vision-language pre-training,

Reference 31

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This paper cites Self- supervised learning of visual features through embedding images into text topic spaces,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Self- supervised learning of visual features through embedding images into text topic spaces,

Reference 32

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This paper cites Beyond instance-level image retrieval: Lever- aging captions to learn a global visual representation for semantic retrieval,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Beyond instance-level image retrieval: Lever- aging captions to learn a global visual representation for semantic retrieval,

Reference 33

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This paper cites Learning visual n-grams from web data,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning visual n-grams from web data,

Reference 34

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This paper cites Virtex: Learning visual representations from textual annotations,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Virtex: Learning visual representations from textual annotations,

Reference 35

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This paper cites Learning visual representa- tions with caption annotations,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning visual representa- tions with caption annotations,

Reference 36

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This paper cites Combined scaling for zero-shot transfer learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Combined scaling for zero-shot transfer learning,

Reference 37

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This paper cites SimVLM: Simple visual language model pretraining with weak supervision,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance SimVLM: Simple visual language model pretraining with weak supervision,

Reference 38

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This paper cites Florence: A New Foundation Model for Computer Vision.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Florence: A New Foundation Model for Computer Vision

Reference 39

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This paper cites Lit: Zero-shot transfer with locked-image text tuning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Lit: Zero-shot transfer with locked-image text tuning,

Reference 40

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This paper cites Compressing visual-linguistic model via knowledge distillation,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Compressing visual-linguistic model via knowledge distillation,

Reference 41

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This paper cites Distilling large vision-language model with out-of-distribution generalizability,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Distilling large vision-language model with out-of-distribution generalizability,

Reference 42

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This paper cites Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

Reference 43

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Representation Learning with Contrastive Predictive Coding

Reference 44

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Pytorch: An imperative style, high-performance deep learning library,

Reference 45

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Pytorch image models,

Reference 46

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This paper cites MobileBERT: a compact task-agnostic BERT for resource-limited devices,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance MobileBERT: a compact task-agnostic BERT for resource-limited devices,

Reference 47

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance A convnet for the 2020s,

Reference 48

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 49

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Big transfer (bit): General visual representation learning,

Reference 50

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This paper cites Identity mappings in deep residual networks,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Identity mappings in deep residual networks,

Reference 51

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 52

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Decoupled weight decay regularization,

Reference 53

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Algorithm 799: revolve: an implementa- tion of checkpointing for the reverse or adjoint mode of computational differentiation,

Reference 54

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Training Deep Nets with Sublinear Memory Cost

Reference 55

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Mixed precision training,

Reference 56

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An analysis of single-layer networks in unsupervised feature learning,

Reference 57

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning multiple layers of features from tiny images,

Reference 58

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Human action recognition by learning bases of action attributes and 14 parts,

Reference 59

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Do imagenet clas- sifiers generalize to imagenet?

Reference 60

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 61

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Natural adversarial examples,

Reference 62

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning robust global representations by penalizing local predictive power,

Reference 63

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Cats and dogs,

Reference 64

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 65

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Automated flower classification over a large number of classes,

Reference 66

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Fine-Grained Visual Classification of Aircraft

Reference 67

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Food-101–mining discriminative components with random forests,

Reference 68

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Describing textures in the wild,

Reference 69

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Sun database: Large-scale scene recognition from abbey to zoo,

Reference 70

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Collecting a large-scale dataset of fine-grained cars,

Reference 71

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance 3d object representations for fine-grained categorization,

Reference 72

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Adam: A Method for Stochastic Optimization

Reference 73

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Knowledge distillation: A good teacher is patient and consistent,

Reference 74

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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The efficiency misnomer,

Reference 75

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