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https://deepai.org/publication/recovering-petaflops-in-contrastive-semi-supervised-learning-of-visual-representations Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations | DeepAI Jun 18, 2020 - 06/18/20 - We investigate a strategy for improving the computational efficiency of contrastive learning of visual representations by leveragi... semi supervised learning visual representations recovering petaflops contrastive https://openreview.net/forum?id=Bal7a2Rkuc&referrer=%5Bthe%20profile%20of%20Mohamed%20S.%20Shehata%5D(%2Fprofile%3Fid%3D~Mohamed_S._Shehata1) DMTrack: learning deformable masked visual representations for single object tracking | OpenReview Single object tracking is still challenging because it requires localizing an arbitrary object in a sequence of frames, given only its appearance in the first... visual representations object tracking learning deformable masked https://openreview.net/forum?id=om8Xk6DkX4&referrer=%5Bthe%20profile%20of%20Alex%20Gittens%5D(%2Fprofile%3Fid%3D~Alex_Gittens1) Simple Disentanglement of Style and Content in Visual Representations | OpenReview Learning visual representations with interpretable features, i.e., disentangled representations, remains a challenging problem. Existing methods demonstrate... style and content visual representations simple disentanglement openreview https://deepai.org/publication/revisiting-contrastive-methods-for-unsupervised-learning-of-visual-representations Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations | DeepAI Jun 10, 2021 - 06/10/21 - Contrastive self-supervised learning has outperformed supervised pretraining on many downstream tasks like segmentation and object... unsupervised learning visual representations revisiting contrastive methods https://arxiv.org/html/2604.08068v1 Brain3D: EEG-to-3D Decoding of Visual Representations via Multimodal Reasoning visual representations eeg 3d decoding https://openreview.net/forum?id=pa3zBGDMAd Hidden-Layer Self-Distillation Yields Drift-Resilient Visual Representations | OpenReview The choice of pretraining strategy has a direct impact on how well visual representations withstand distribution shift at deployment. We study Bootleg, a... hidden layer visual representations self distillation yields https://openreview.net/forum?id=y8qGOvUn1r LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations | OpenReview Contrastive instance discrimination methods outperform supervised learning in downstream tasks such as image classification and object detection. However,... original images contrastive learning visual representations leveraging https://openreview.net/forum?id=4cOfD2qL6T Exploring perceptual straightness in learned visual representations | OpenReview Humans have been shown to use a ''straightened'' encoding to represent the natural visual world as it evolves in time (Henaff et al. 2019). In the context of... visual representations exploring perceptual straightness learned https://www.sri.com/publication/education-learning-pubs/stem-and-computer-science-pubs/visual-representations-in-the-collaborative-learning-of-chemistry/ Visual Representations in the Collaborative Learning of Chemistry - SRI visual representations in the collaborative learning chemistry sri https://www.osti.gov/pages/biblio/2311603-numerical-visual-representations-uncertainty-lead-different-patterns-decision-making Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making... The U.S. Department of Energy's Office of Scientific and Technical Information visual representations https://openreview.net/forum?id=xQz5oGS4Njt Learning in Factored Domains with Information-Constrained Visual Representations | OpenReview High sample efficiency in visual learning can be achieved with factored task representations learned with disentangled visual information. visual representations learning factored domains information https://elifesciences.org/reviewed-preprints/91685v2/figures Factorized visual representations in the primate visual system and deep neural networks visual representations in the https://openreview.net/forum?id=7kpmIkHVpHu&referrer=%5Bthe%20profile%20of%20David%20Jacobs%5D(%2Fprofile%3Fid%3D~David_Jacobs1) Hyperbolic Contrastive Learning for Visual Representations beyond Objects | OpenReview We use hyperbolic objective to learn scene-object hypernymy, and show significant improvements for multiple datasets across multiple SSL tasks. contrastive learning visual representations hyperbolic beyond objects https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/ Revisiting Feature Prediction for Learning Visual Representations from Video | Research - AI at Meta This paper explores feature prediction as a stand-alone objective for unsupervised learning from video and introduces V-JEPA, a collection of vision... https://arxiv.org/abs/2410.07486v1 [2410.07486v1] Visual Writing: Writing by Manipulating Visual Representations of Stories Abstract page for arXiv paper 2410.07486v1: Visual Writing: Writing by Manipulating Visual Representations of Stories visual writing 2410 manipulating representations stories https://openreview.net/forum?id=xppLmXCbOw1 Self-supervised Visual Reinforcement Learning with Object-centric Representations | OpenReview Autonomous agents need large repertoires of skills to act reasonably on new tasks that they have not seen before. However, acquiring these skills using only a... self supervised reinforcement learning visual object centric https://openreview.net/forum?id=R3O1mD9lyZ Learning Visual-Semantic Subspace Representations | OpenReview Learning image representations that capture rich semantic relationships remains a significant challenge. Existing approaches are either contrastive, lacking... learning visual semantic subspace representations https://www.scstatehouse.gov/sess126_2025-2026/bills/3045.htm 2025-2026 Bill 3045: Obscene visual representations of child sexual abuse - South Carolina... https://aclanthology.org/2024.acl-long.768/ LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems... Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick. Proceedings of the 62nd Annual Meeting of the Association for Computational... comparing visual textual https://arxiv.org/abs/2503.17142 [2503.17142] Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language... Abstract page for arXiv paper 2503.17142: Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/neuro.10.015.2009/full Frontiers | Experience-driven formation of parts-based representations in a model of layered visual... Growing neuropsychological and neurophysiological evidence suggests that the visual cortex uses parts-based representations to encode, store and retrieve rel...