On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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8 results for “badges”

The Phantom Steering Effect in Q&A Websitescs.LG

New model shows most users on Q&A site Stack Overflow ignore badges.

problem Understanding user behavior in Q&A websites with badges.

method Probabilistic model applied to Stack Overflow data.

result Majority of users remain apathetic to badges but still contribute.

user behavior Q&A sites Stack Overflow badges steering effect

2020-02-14abs ↗pdf ↗

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Boundscs.LG

We design a new algorithm for batch active learning with deep neural network models. Our algorithm, Batch Active learning by Diverse Gradient Embeddings (BADGE), samples groups of points that are disparate and high-magnitude when represented in a hallucinated gradient space, a strategy designed to incorporate both pred…

2019-06-09abs ↗pdf ↗

Engaging with Massive Online Coursescs.SI

The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollments, MOOCs have the potential to become a major new mechanism for learning. Despite this early promise, however, MOOCs are still relatively u…

2014-03-12abs ↗pdf ↗

Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learningcs.LG

A simple method improves batch active learning without high compute.

problem Efficient batch active learning in machine learning.

method Adapting standard single-point acquisition strategies to batch.

result Simple strategy performs as well as advanced batch methods.

active learning batch acquisition machine learning stochastic sampling deep learning

2021-06-22abs ↗pdf ↗

A State Transition Model for Mobile Notifications via Survival Analysisstat.ML

The paper proposes a survival model to optimize mobile notification delivery times.

problem Inappropriate notification timing and interruptions lead to user complaints.

method Developed a state transition framework and a survival model with log-linear and Weibull structures.

result The survival model outperforms logistic regression in prediction accuracy.

mobile notifications survival analysis user engagement state transition logistic regression

2022-07-07abs ↗pdf ↗

Black-Box Batch Active Learning for Regressioncs.LG

Extends batch active learning to non-differentiable models.

problem Efficiently training machine learning models on large, initially unlabelled datasets.

method Black-box batch active learning for regression tasks that relies solely on model predictions.

result Achieves strong performance on regression datasets compared to white-box approaches for deep learning models.

batch active learning regression black-box non-differentiable models machine learning

2023-02-17abs ↗pdf ↗

Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classificationstat.ML

Ask-n-Learn uses gradient embeddings for active learning in image classification.

problem Efficiently labeling large amounts of training data for deep models.

method Gradient embeddings based on pseudo-labels, prediction calibration, and data augmentation.

result Significant improvements over state-of-the-art baselines on image classification tasks.

active learning gradient embeddings pseudo-labels image classification prediction calibration

2020-09-30abs ↗pdf ↗

Revisiting Deep Architectures for Head Motion Prediction in 360° Videoscs.CV

We consider predicting the user's head motion in 360-degree videos, with 2 modalities only: the past user's positions and the video content (not knowing other users' traces). We make two main contributions. First, we re-examine existing deep-learning approaches for this problem and identify hidden flaws from a thorough…

2019-11-26abs ↗pdf ↗