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09/05/2023
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models
The rise of deepfake images, especially of well-known personalities, pos...
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02/15/2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Multi-agent football poses an unsolved challenge in AI research. Existin...
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02/09/2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
Stochastically Extended Adversarial (SEA) model is introduced by Sachs e...
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02/08/2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
This paper investigates the multi-agent navigation problem, which requir...
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05/26/2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Long-Tailed Semi-Supervised Learning (LTSSL) aims to learn from class-im...
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04/11/2022
Online Frank-Wolfe with Unknown Delays
The online Frank-Wolfe (OFW) method has gained much popularity for onlin...
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04/06/2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020
Graph structured data is ubiquitous in daily life and scientific areas a...
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03/07/2022
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios
Human behavior forecasting during human-human interactions is of utmost ...
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03/04/2022
Didn't see that coming: a survey on non-verbal social human behavior forecasting
Non-verbal social human behavior forecasting has increasingly attracted ...
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02/04/2022
LTU Attacker for Membership Inference
We address the problem of defending predictive models, such as machine l...
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01/17/2022
OmniPrint: A Configurable Printed Character Synthesizer
We introduce OmniPrint, a synthetic data generator of isolated printed c...
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10/12/2021
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone
Obtaining standardized crowdsourced benchmark of computational methods i...
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08/26/2021
Robust Long-Tailed Learning under Label Noise
Long-tailed learning has attracted much attention recently, with the goa...
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08/16/2021
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Diabetes prediction is an important data science application in the soci...
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07/28/2021
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
Analyzing better time series with limited human effort is of interest to...
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03/31/2021
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
Auto-KWS 2021 challenge calls for automated machine learning (AutoML) so...
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03/21/2021
Online Strongly Convex Optimization with Unknown Delays
We investigate the problem of online convex optimization with unknown de...
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10/25/2020
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
The AutoSpeech challenge calls for automated machine learning (AutoML) s...
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07/24/2019
Towards AutoML in the presence of Drift: first results
Research progress in AutoML has lead to state of the art solutions that ...
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06/26/2019
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
To deal with changing environments, a new performance measure---adaptive...
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05/30/2019