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08/15/2023
Relightable and Animatable Neural Avatar from Sparse-View Video
This paper tackles the challenge of creating relightable and animatable ...
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02/23/2023
Learning Neural Volumetric Representations of Dynamic Humans in Minutes
This paper addresses the challenge of quickly reconstructing free-viewpo...
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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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03/15/2022
Animatable Neural Implicit Surfaces for Creating Avatars from Videos
This paper aims to reconstruct an animatable human model from a video of...
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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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12/02/2021
Efficient Neural Radiance Fields with Learned Depth-Guided Sampling
This paper aims to reduce the rendering time of generalizable radiance f...
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12/01/2021
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors
It has been a long history that most object detection methods obtain obj...
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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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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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07/17/2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift–A Benchmark
Machine learning has recently demonstrated impressive progress in predic...
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06/24/2021
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Visual Information Extraction (VIE) task aims to extract key information...
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04/20/2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
This paper presents the results and insights from the black-box optimiza...
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02/03/2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
One important challenge of applying deep learning to electronic health r...
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02/01/2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning a good policy from ...
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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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04/24/2020
Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization
We propose a cumulative oversampling (CO) technique for Thompson Samplin...
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12/04/2019
Deep Physiological State Space Model for Clinical Forecasting
Clinical forecasting based on electronic medical records (EMR) can uncov...
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12/02/2019
Flow Contrastive Estimation of Energy-Based Models
This paper studies a training method to jointly estimate an energy-based...
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11/08/2019
Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints
We consider a brand with a given budget that wants to promote a product ...
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09/20/2019
Learning an Adaptive Learning Rate Schedule
The learning rate is one of the most important hyper-parameters for mode...
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06/11/2019
Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records
Effective modeling of electronic health records (EHR) is rapidly becomin...
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08/15/2017
GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators
This paper presents the Graph Analytics Repository for Designing Next-ge...
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11/07/2016
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
Social dynamics is concerned primarily with interactions among individua...
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05/17/2016