Pokemon Presents Predictions
I'm not sure if somones done this yet but i thought it would be fun to gather peoples predictions about tommorrows Poke-Direct. I'm personally predicting that they will either annouce a worlwide rele...
I'm not sure if somones done this yet but i thought it would be fun to gather peoples predictions about tommorrows Poke-Direct. I'm personally predicting that they will either annouce a worlwide rele...
In this paper, our focus is on enhancing steering angle prediction for autonomous driving tasks. We initiate our exploration by investigating two veins of widely adopted deep neural architectures, namely ResNets and InceptionNets. Within both familie...
This paper introduces a novel meta-learning algorithm for time series forecast model performance prediction. We model the forecast error as a function of time series features calculated from the historical time series with an efficient Bayesian multi...
The prediction objectives of online advertisement ranking models are evolving from probabilistic metrics like conversion rate (CVR) to numerical business metrics like post-click gross merchandise volume (GMV). Unlike the well-studied delayed feedback...
Large language models (LLMs) have achieved decent results on automated program repair (APR). However, the next token prediction training objective of decoder-only LLMs (e.g., GPT-4) is misaligned with the masked span prediction objective of current i...
2 days ago · In medicine, a digital twin of a patient’s tumor can simulate how it might respond to different treatments, predicting clinical outcomes before a therapy begins. The prediction is then checked …
This project predicts a student’s final exam score (G3) using academic, social, and family-related factors, This is a real-world education analytics problem used by schools and EdTech companies. (⭐ 0)
This project predicts students’ final performance using a real-world student performance dataset. It uses data preprocessing and a simple Artificial Neural Network (ANN) model that learns from features like study time, previous grades, and family background. The trained model out…
We examine two types of binary betting markets, whose primary goal is for profit (such as sports gambling) or to gain information (such as prediction markets). We articulate the interplay between belief and price-setting to analyse both types of mark...
Feb 24, 2026 · DraftKings is cutting jobs, as the sports betting giant tightens its belt amid growing competition from lightly regulated prediction markets. The Boston-based company, which employed …
Next-token prediction serves as the foundational learning task enabling reasoning in LLMs. But what should the learning task be when aiming to equip MLLMs with temporal reasoning capabilities over video inputs? Existing tasks such as video question a...
Using machine learning to predict HK Horse racing results (⭐ 62)
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.
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.
Affective computing research traditionally focused on labeling a person's emotion as one of a discrete number of classes e.g. happy or sad. In recent times, more attention has been given to continuous affect prediction across dimensions in the emotio...
Existing software-based energy measurements of NLP models are not accurate because they do not consider the complex interactions between energy consumption and model execution. We present IrEne, an interpretable and extensible energy prediction syste...
One of the key challenges in predictive maintenance is to predict the impending downtime of an equipment with a reasonable prediction horizon so that countermeasures can be put in place. Classically, this problem has been posed in two different ways...
Rating prediction is a core problem in recommender systems to quantify user's preferences towards items, however, rating imbalance naturally roots in real-world user ratings that cause biased predictions and lead to poor performance on tail ratings....
Conformal methods create prediction bands that control average coverage assuming solely i.i.d. data. Although the literature has mostly focused on prediction intervals, more general regions can often better represent uncertainty. For instance, a bimo...
Predict yields of major food crops in India (Rice, Wheat, Maize, Sugarcane, Pulses) using weather (rainfall), input usage (fertiliser, pesticide), area, season, and temporal factors (year). (⭐ 1)