What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …
models offers new potential for examining how different inductive biases impact …
A large-scale examination of inductive biases shaping high-level visual representation in brains and machines
The rapid release of high-performing computer vision models offers new potential to study
the impact of different inductive biases on the emergent brain alignment of learned …
the impact of different inductive biases on the emergent brain alignment of learned …
Layerwise complexity-matched learning yields an improved model of cortical area V2
Human ability to recognize complex visual patterns arises through transformations
performed by successive areas in the ventral visual cortex. Deep neural networks trained …
performed by successive areas in the ventral visual cortex. Deep neural networks trained …
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning
Self-supervised learning (SSL) is a popular paradigm for representation learning. Recent
multiview methods can be classified as sample-contrastive, dimension-contrastive, or …
multiview methods can be classified as sample-contrastive, dimension-contrastive, or …
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Maximum Manifold Capacity Representations (MMCR) is a recent multi-view self-supervised
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
An information-theoretic understanding of maximum manifold capacity representations
Maximum Manifold Capacity Representations (MMCR) is a recent multi-view self-supervised
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
An information-theoretic understanding of maximum manifold capacity representations
Maximum Manifold Capacity Representations (MMCR) is a recent multi-view self-supervised
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR …
Non-agriculturalization Detection Based on Vector Polygons and Contrastive Learning with High Resolution Remote Sensing Images
H Zhang, W Liu, C Zhu, H Niu, P Yin… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The conversion of agricultural lands, termed “nonagriculturalization,” poses profound threats
to food security and ecological stability. Remote sensing image change detection offers an …
to food security and ecological stability. Remote sensing image change detection offers an …
Learning predictable and robust neural representations by straightening image sequences
X Niu, C Savin, EP Simoncelli - arXiv preprint arXiv:2411.01777, 2024 - arxiv.org
Prediction is a fundamental capability of all living organisms, and has been proposed as an
objective for learning sensory representations. Recent work demonstrates that in primate …
objective for learning sensory representations. Recent work demonstrates that in primate …
Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization
A number of different architectures and loss functions have been applied to the problem of
self-supervised learning (SSL), with the goal of developing embeddings that provide the …
self-supervised learning (SSL), with the goal of developing embeddings that provide the …