Future shocks: 17 technology predictions for 2025 | World Economic …
Jun 23, 2020 · We asked our 2020 intake of Technology Pioneers for their views on how technology will change the world in the next five years. Here are their predictions.
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Predic…
Risk assessment algorithms have been correctly criticized for potential unfairness, and there is an active cottage industry trying to make repairs. In this paper, we adopt a framework from conformal prediction sets to remove unfairness from risk algo...
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
We describe DeepMachining, a deep learning-based AI system for online prediction of machining errors of lathe machine operations. We have built and evaluated DeepMachining based on manufacturing data from factories. Specifically, we first pretrain a...
xiextong/HER2-Prediction
Implementation of HER2 type diagnostics (⭐ 5)
An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction
Discourse relation classification is an especially difficult task without explicit context markers (Prasad et al., 2008). Current approaches to implicit relation prediction solely rely on two neighboring sentences being targeted, ignoring the broader...
Global climate predictions show temperatures expected to remain at …
Global climate predictions show temperatures are expected to continue at or near record levels in the next five years, increasing climate risks and impacts on societies, economies and sustainable …
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of containing the true class. However, it typically relies on a calibration set with clean labels. We address privacy-sensitive scenarios where the aggregator...
Feature representations useful for predicting image memorability
Prediction of image memorability has attracted interest in various fields. Consequently, the prediction accuracy of convolutional neural network (CNN) models has been approaching the empirical upper bound estimated based on human consistency. However...
Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech f…
We train a MOS prediction model based on wav2vec 2.0 using the open-access data sets BVCC and SOMOS. Our test with neural TTS data in the low-resource language (LRL) West Frisian shows that pre-training on BVCC before fine-tuning on SOMOS leads to th...
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer. This is in contrast to previous approaches, that either used reinfor...
Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues that humans subconsciously communicate when navigating the space. In...
The ECMWF Ensemble Prediction System: Looking Back (more than) 25 Years and Projecting For…
This paper has been written to mark 25 years of operational medium-range ensemble forecasting. The origins of the ECMWF Ensemble Prediction System are outlined, including the development of the precursor real-time Met Office monthly ensemble forecast...
Complete predictions for high-energy neutrino propagation in matter
We present predictions for the interactions of energetic neutrinos with matter as they propagate through Earth towards large-volume detectors. Our results are based on state-of-the-art calculations of the high-energy neutrino-matter interaction cross...
12 unlikely-but-plausible predictions (what are yours?)
Zach Lowe (I hope we see him again soon!) used to do a column called "Crazy Predictions," which were exactly what they sounded like. He eventually gave up the idea after deciding the NBA had gotten to...
13 unlikely-but-plausible predictions. What are yours?
Zach Lowe used to do an annual column featuring his “Crazy Predictions,” which were exactly what they sounded like. He stopped doing that column several years ago after deciding that the NBA had g...
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Confl…
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contrib...
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Doma…
When predicting a target variable $Y$ from features $X$, the prediction $\hat{Y}$ can be performative: an agent might act on this prediction, affecting the value of $Y$ that we eventually observe. Performative predictions are deliberately prevalent i...
Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Pred…
Performative predictions are forecasts which influence the outcomes they aim to predict, undermining the existence of correct forecasts and standard methods of elicitation and estimation. We show that conditioning forecasts on covariates that separat...
Engagement Prediction of Short Videos with Large Multimodal Models
The rapid proliferation of user-generated content (UGC) on short-form video platforms has made video engagement prediction increasingly important for optimizing recommendation systems and guiding content creation. However, this task remains challengi...
Heliostat-field soiling predictions and cleaning resource optimization for solar tower pla…
This paper presents a novel methodology for characterizing soiling losses through experimental measurements. Soiling predictions were obtained by calibrating a soiling model based on field measurements from a 50 MW modular solar tower project in Moun...