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Found 7 papers, 3 papers with code
A diverse Multilingual News Headlines Dataset from around the World
Babel Briefings is a novel dataset featuring 4. 7 million news headlines from August 2020 to November 2021, across 30 languages and 54 locations worldwide with English translations of all articles included.
CLadder: Assessing Causal Reasoning in Language Models
Much of the existing work in natural language processing (NLP) focuses on evaluating commonsense causal reasoning in LLMs, thus failing to assess whether a model can perform causal inference in accordance with a set of well-defined formal rules.
On the interventional consistency of autoencoders
Autoencoders have played a crucial role in the field of representation learning since its inception, proving to be a flexible learning scheme able to accommodate various notions of optimality of the representation.
Exploring the Latent Space of Autoencoders with Interventional Assays
Autoencoders exhibit impressive abilities to embed the data manifold into a low-dimensional latent space, making them a staple of representation learning methods.
Structure by Architecture: Structured Representations without Regularization
We study the problem of self-supervised structured representation learning using autoencoders for downstream tasks such as generative modeling.
Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
In this work, we bridge the gap between recent pose estimation and tracking work to develop a powerful method for robots to track objects in their surroundings.
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control
In this work, we present an approach to deep visuomotor control using structured deep dynamics models.
