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https://arxiv.org/abs/2207.04997v1 [2207.04997v1] A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision Abstract page for arXiv paper 2207.04997v1: A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision a closer look at https://openreview.net/forum?id=JXCH5N4Ujy Time Series Alignment with Global Invariances | OpenReview Multivariate time series are ubiquitous objects in signal processing. Measuring a distance or similarity between two such objects is of prime interest in a... time series alignment global invariances openreview https://openreview.net/forum?id=sKjcrAC4eZ Sample Complexity Bounds for Estimating Probability Divergences under Invariances | OpenReview Group-invariant probability distributions appear in many data-generative models in machine learning, such as graphs, point clouds, and images. In practice, one... sample complexity bounds estimating probability divergences invariances https://ideas.repec.org/p/use/tkiwps/0317.html Invariances and Diversities in the Evolution of Manufacturing Industries Downloadable! In this work we explore some basic properties of the size distributions of firms and of their growth processes both at aggregate and disaggregate... in the invariances diversities evolution manufacturing https://openreview.net/forum?id=XKDuHnjLFY Exploring Augmentation-Driven Invariances for Graph Self-supervised Learning in Spatial Omics |... Spatial omics technologies provide rich insights into biological processes by jointly capturing molecular profiles and the spatial organization of cells. The... self supervised learning https://openreview.net/forum?id=lhO8pJVIjh Learning with Exact Invariances in Polynomial Time | OpenReview We study the statistical-computational trade-offs for learning with exact invariances (or symmetries) using kernel regression over manifold input spaces.... polynomial time learning exact invariances openreview https://openreview.net/forum?id=VD-AYtP0dve Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language... Semantic entropy is a novel uncertainty estimation method for natural language generation that captures uncertainty over meanings rather than sequences. in natural semantic uncertainty linguistic invariances https://openreview.net/forum?id=tUVG9nGzgE Learning Conditional Invariances through Non-Commutativity | OpenReview Invariance learning algorithms that conditionally filter out domain-specific random variables as distractors, do so based only on the data semantics, and not... non commutativity learning conditional invariances openreview https://deepai.org/publication/learning-invariances-for-policy-generalization Learning Invariances for Policy Generalization | DeepAI Sep 7, 2018 - 09/07/18 - While recent progress has spawned very powerful machine learning systems, those agents remain extremely specialized and fail to tr... learning invariances policy generalization deepai