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

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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

Reference 13

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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

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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)

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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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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

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

Reference 30

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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

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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)

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

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

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

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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

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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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Unavailable: canonical work link unavailable.

Observation b5db7f3d-aa5c-4876-8368-bef6b6800d46 · outbound

This paper cites & Hockenmaier, J.

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

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:38.659149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cdb7c845-1b7e-4f9c-ac9b-1778d65bf7e4 · outbound

This paper cites M., Khosla, A., Pantazis, D., Torralba, A.

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

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:38.449469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6896df45-b00f-4d29-b344-f69c3f130448 · outbound

This paper cites URL https://www.biorxiv.org/content/early/2018/09/05/ 407007.https://www.biorxiv.org/content/early/2018/09/05/407007.full.pdf.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94e80c1b-dfd5-433e-af6a-1ab6c3fa6926 · outbound

This paper cites & Hebart, M.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd654510-0bfd-4b4a-a1f1-8fc5f179146b · outbound

This paper cites & Wang, Q.

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

Reference 60

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:42:35.869620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ecf2d708-00ef-4280-8d63-f7bae70b7672 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:37.844969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90047ecd-1058-493c-9bbc-934c946e8970 · outbound

This paper cites URL https: //www.nature.com/articles/s41540-024-00401-0.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers