- Learning Group Actions on Latent Representations🔍
- NeurIPS Poster Learning Group Actions on Latent Representations🔍
- Homomorphism Autoencoder — Learning Group Structured ...🔍
- What are latent representations?🔍
- Behavior Generation with Latent Actions🔍
- Predictive learning as a network mechanism for extracting low ...🔍
- Reinforcement Learning with Slot Object|Centric Latent Dynamics🔍
- Learning Latent Representations of Users Using Their Social|Media ...🔍
Learning Group Actions on Latent Representations
Learning Group Actions on Latent Representations | OpenReview
TL;DR: A model to learn group action on latent factors, e.g. manipulating objects on 2D images. Abstract: In this work, we introduce a new ...
NeurIPS Poster Learning Group Actions on Latent Representations
Main Navigation · Learning Group Actions on Latent Representations. Yinzhu Jin · Aman Shrivastava · Tom Fletcher. [ Abstract ]. Fri 13 Dec 4:30 ...
Learning Group Actions on Latent Representations - OpenReview
[21] learn representations equivariant to the latent group actions with a contrastive loss. Wang et al. [30] propose to exploit extrinsic equivariance to model ...
Homomorphism Autoencoder — Learning Group Structured ...
information that are consistent with actions that modify it. We use an autoencoder equipped with a group representation acting on its latent space, trained ...
What are latent representations? - Data Science Stack Exchange
The latent representation is the simplified model of your input data, for example, created by a neural network. Considering an autoencoder ...
Behavior Generation with Latent Actions - arXiv
... action vectors. A ready answer is learning discrete representations using vector quantization (Van Den Oord et al., 2017) used extensively ...
Predictive learning as a network mechanism for extracting low ...
Predictive learning and latent representations: a simple example. In ... As the network learns to apply group actions ga to its representation, it ...
Reinforcement Learning with Slot Object-Centric Latent Dynamics
Furthermore, because the latent space serves as input to behavior models, the informative representations learned by the world model facilitate ...
Learning Latent Representations of Users Using Their Social-Media ...
... Learning Latent Representations of Users Using Their Social-Media Activities. ... Which nodes are in which group is determined as a function of ...
Learning joint latent representations based on information ...
... representation when changing one of the latent variables. Such actions lead to performing changes in the data corresponding to a specific factor of ...
Learning Latent Dynamics for Planning from Pixels
... learn local-linear latent transitions and plan for actions using LQR. ... arXiv preprint arXiv:1801.00690. Learning phrase representations ...
Exploration and Regularization of the Latent Action Space in ...
Yash Chandak, Georgios Theocharous, James Kostas, Scott Jordan, and Philip Thomas. 2019. Learning action representations for reinforcement learning. In ...
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual ...
However, by learning an action representation that groups semantically similar actions together in the latent action space, the agent can better generalize ...
Learning latent actions to control assistive robots
Our approach learns latent representations of dexterous robot motions, and then combines those representations with shared autonomy to ...
Unsupervised learning reveals interpretable latent representations ...
Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is ...
Understanding and constructing latent modality structures in multi-modal representation learning ... Conversational AI ModEling and Learning (CAMEL) team ...
LEARNING TO CONVERSE WITH LATENT ACTIONS
Dialog-act based representations contain one or more dialog acts for ... group just because they have similar intentions, or these two utterances ...
Learning Latent Representations to Influence Multi-Agent Interaction
... action another agent will make; instead, we can capture the latent strategy of other agents through high-level representations. We propose a ...
Unsupervised Learning of Group Invariant and Equivariant ...
... latent representation is separated in an invariant term and an equivariant group action component. The key idea is that the network learns ...
Higgins et al. - Towards a Definition of Disentangled Representations
... representation learning. Disentangled representations ... Thus, the group actions are not disentangled, and neither is the representation.