Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment | Paper Citation Record

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This paper cites J., Kriegeskorte, N.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment J., Kriegeskorte, N

Reference 1

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This paper cites On Model Stability as a Function of Random Seed.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment On Model Stability as a Function of Random Seed

Reference 2

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This paper cites Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision

Reference 3

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment ImageNet-1k benchmark

Reference 4

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This paper cites The Goldilocks zone: Towards better understanding of neural network loss landscapes.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment The Goldilocks zone: Towards better understanding of neural network loss landscapes

Reference 5

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This paper cites Accounting for Variance in Machine Learning Benchmarks.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Accounting for Variance in Machine Learning Benchmarks

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This paper cites On the Variance of Neural Network Training with respect to Test Sets and Distributions.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment On the Variance of Neural Network Training with respect to Test Sets and Distributions

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This paper cites N.et al.Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images.PloS one14, e0223792 (2019).

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment N.et al.Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images.PloS one14, e0223792 (2019)

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This paper cites N., Zheng, C.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment N., Zheng, C

Reference 9

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This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

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This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 11

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This paper cites When Does Perceptual Alignment Benefit Vision Representations?.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment When Does Perceptual Alignment Benefit Vision Representations?

Reference 12

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This paper cites Improving neural network representations using human similarity judgments.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Improving neural network representations using human similarity judgments

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This paper cites Aligning Machine and Human Visual Representations across Abstraction Levels.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Aligning Machine and Human Visual Representations across Abstraction Levels

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Shifting Attention to You: Personalized Brain-Inspired AI Models

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Philbin, J

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment A Simple Framework for Contrastive Learning of Visual Representations

Reference 19

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This paper cites URLhttp://dx.doi.org/10.1145/2812802.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment URLhttp://dx.doi.org/10.1145/2812802

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

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Learning Transferable Visual Models From Natural Language Supervision

Reference 21

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment InICML(2021)

Reference 22

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment A ConvNet for the 2020s

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

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This paper cites Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

Reference 26

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment RWKV-CLIP: A Robust Vision-Language Representation Learner

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment DataComp: In search of the next generation of multimodal datasets

Reference 29

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Song, D

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Song, D

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Jordan-H\"older with uniqueness for semimodular semilattices

Reference 32

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Shankar, V

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment In Wallach, H.et al.(eds.)Advances in Neural Information Processing Systems, vol

Reference 34

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Hinton, G

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Perona, P

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Urtasun, R

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Vedaldi, A

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Borth, D

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Zisserman, A

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment M., Vedaldi, A., Zisserman, A

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Unresolved cited work

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment InNIPS Workshop on Deep Learning and Unsupervised Feature Learning 2011(2011)

Reference 44

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment S., Linmans, J., Winkens, J., Cohen, T

Reference 45

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Fei-Fei, L

Reference 46

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Van Gool, L

Reference 47

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Fine-Grained Visual Classification of Aircraft

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment K., Winn, J

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Sim, J

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Igel, C

Reference 51

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Haffner, P

Reference 52

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment In Yarowsky, D., Baldwin, T., Korhonen, A., Livescu, K

Reference 53

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Lee, H

Reference 54

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment Microsoft COCO: Common Objects in Context

Reference 55

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Hockenmaier, J

Reference 56

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment M., Khosla, A., Pantazis, D., Torralba, A

Reference 57

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment URL https://www.biorxiv.org/content/early/2018/09/05/ 407007.https://www.biorxiv.org/content/early/2018/09/05/407007.full.pdf

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:38.261259Z

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Hebart, M

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:38.028595Z

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment & Wang, Q

Reference 60

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This paper cites URLhttps://www.nature.com/articles/s41598-024-71693-9.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment URLhttps://www.nature.com/articles/s41598-024-71693-9

Reference 61

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Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment URL https: //www.nature.com/articles/s41540-024-00401-0

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:37.599955Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

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Pith citing papers