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Found 10 papers, 2 papers with code
Hybrid Forecasting of Geopolitical Events
To improve crowdsourced forecasting accuracy, we developed SAGE, a hybrid forecasting system that combines human and machine generated forecasts.
UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos
We present UniPlane, a novel method that unifies plane detection and reconstruction from posed monocular videos.
OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control
This process is achieved through the distillation of pretrained large-scale text-to-image diffusion models.
PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields
Through extensive experiments, we demonstrate the effectiveness of PlanarNeRF in various scenarios and remarkable improvement over existing works.
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Our study highlights the importance of measuring the bias of LLMs in downstream applications to understand the potential for harm and inequitable outcomes.
Statistical Equity: A Fairness Classification Objective
We formalize our definition of fairness, and motivate it with its appropriate contexts.
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM).
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks.
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis
A novel text data dimension reduction technique, called the tree-structured multi-linear principal component anal- ysis (TMPCA), is proposed in this work.
Dependent Bidirectional RNN with Extended-long Short-term Memory
Based on the analysis, we propose a new design, called the extended-long short-term memory (ELSTM), to extend the memory length of a cell.
