Ce Zhang

CoRR, 2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Retrieval-Augmented Large Language Models via Data Importance Learning.

[BibT_eX]

[DOI]

CoRR, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

High-throughput Generative Inference of Large Language Models with a Single GPU.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning.

[BibT_eX]

[DOI]

Susie Xi Rao

Peter H. Egger

CoRR, 2023

RAB: Provable Robustness Against Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Proactively Screening Machine Learning Pipelines with ARGUSEYES.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

CARE: Certifiably Robust Learning with Reasoning via Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DataPerf: Benchmarks for Data-Centric AI Development.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill-it! A data-driven skills framework for understanding and training language models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the International Conference on Machine Learning, 2023

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Learning for Unsupervised Domain Adaptation of Time Series.

[BibT_eX]

[DOI]

Yilmazcan Özyurt

Stefan Feuerriegel

Thórhildur Thorleiksdóttir

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DSG: An End-to-End Document Structure Generator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.

[BibT_eX]

[DOI]

Nat. Mac. Intell., October, 2022

schelterlabs/arguseyes.

[BibT_eX]

[DOI]

Dataset, January, 2022

Deep Learning for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

[BibT_eX]

[DOI]

Konstantinos Karanasos

SIGMOD Rec., 2022

SHiFT: An Efficient, Flexible Search Engine for Transfer Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Bringing artificial intelligence to business management.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

New primitives for bounded degradation in network service.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.

[BibT_eX]

[DOI]

CoRR, 2022

DataPerf: Benchmarks for Data-Centric AI Development.

[BibT_eX]

[DOI]

CoRR, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient End-to-End AutoML via Scalable Search Space Decomposition.

[BibT_eX]

[DOI]

CoRR, 2022

Stochastic Gradient Descent without Full Data Shuffle.

[BibT_eX]

[DOI]

CoRR, 2022

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines.

[BibT_eX]

[DOI]

CoRR, 2022

Modelling graph dynamics in fraud detection with "Attention".

[BibT_eX]

[DOI]

CoRR, 2022

Experiments as Code: A Concept for Reproducible, Auditable, Debuggable, Reusable, & Scalable Experiments.

[BibT_eX]

[DOI]

CoRR, 2022

A Deep Markov Model for Clickstream Analytics in Online Shopping.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Keyword Extraction in Scientific Documents.

[BibT_eX]

[DOI]

Susie Xi Rao

Piriyakorn Piriyatamwong

Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 2022

LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Decentralized Training of Foundation Models in Heterogeneous Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certifying Some Distributional Fairness with Subpopulation Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamic Human Evaluation for Relative Model Comparisons.

[BibT_eX]

[DOI]

Cédric Renggli

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Transfer Learning based Search Space Design for Hyperparameter Tuning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Certifying Out-of-Domain Generalization for Blackbox Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

iFlood: A Stable and Effective Regularizer.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Methods for Logical Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

User-Centered Information Architecture of Vehicle AR-HUD Interface.

[BibT_eX]

[DOI]

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

dcbench: a benchmark for data-centric AI systems.

[BibT_eX]

[DOI]

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

Which Model to Transfer? Finding the Needle in the Growing Haystack.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BRIGHT - Graph Neural Networks in Real-time Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Screening Native Machine Learning Pipelines with ArgusEyes.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

Distributed Machine Learning and Gradient Optimization

[BibT_eX]

[DOI]

Jiawei Jiang

Bin Cui

Benjamin I. P. Rubinstein

Springer, ISBN: 978-981-16-3419-2, 2022

2021

Model averaging in distributed machine learning: a case study with Apache Spark.

[BibT_eX]

[DOI]

VLDB J., 2021

A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

xFraud: Explainable Fraud Transaction Detection.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Federated Matrix Factorization with Privacy Guarantee.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

BAGUA: Scaling up Distributed Learning with System Relaxations.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

A Data Quality-Driven View of MLOps.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2021

RumbleML: program the lakehouse with JSONiq.

[BibT_eX]

[DOI]

CoRR, 2021

Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee.

[BibT_eX]

[DOI]

CoRR, 2021

Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery.

[BibT_eX]

[DOI]

CoRR, 2021

TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.

[BibT_eX]

[DOI]

Bo Li

CoRR, 2021

Switch Spaces: Learning Product Spaces with Sparse Gating.

[BibT_eX]

[DOI]

CoRR, 2021

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2021

Learning User Representations with Hypercuboids for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Towards Demystifying Serverless Machine Learning Training.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table.

[BibT_eX]

[DOI]

Wentao Wu

Benjamin I. P. Rubinstein

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.

[BibT_eX]

[DOI]

Bo Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Knowledge Router: Learning Disentangled Representations for Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multilingual Language Models Predict Human Reading Behavior.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.

[BibT_eX]

[DOI]

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoML: A Perspective where Industry Meets Academy.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evolving Attention with Residual Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AutoML: From Methodology to Application.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

TSS: Transformation-Specific Smoothing for Robustness Certification.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Online Active Model Selection for Pre-trained Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

DocParser: Hierarchical Document Structure Parsing from Renderings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Principled Approach to Data Valuation for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Neural dynamics of sentiment processing during naturalistic sentence reading.

[BibT_eX]

[DOI]

NeuroImage, 2020

RosENet: Improving Binding Affinity Prediction by Leveraging Molecular Mechanics Energies with an Ensemble of 3D Convolutional Neural Networks.

[BibT_eX]

[DOI]

Hussein Hassan-Harrirou

Thomas Lemmin

J. Chem. Inf. Model., 2020

Distributed Learning Systems with First-Order Methods.

[BibT_eX]

[DOI]

Ji Liu

Deepak Mukunthu Iyappan Babu

Found. Trends Databases, 2020

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy.

[BibT_eX]

[DOI]

CoRR, 2020

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.

[BibT_eX]

[DOI]

CoRR, 2020

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.

[BibT_eX]

[DOI]

CoRR, 2020

A Principled Approach to Data Valuation for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

[BibT_eX]

[DOI]

CoRR, 2020

TrueBranch: Metric Learning-based Verification of Forest Conservation Projects.

[BibT_eX]

[DOI]

CoRR, 2020

Improving BERT with Self-Supervised Attention.

[BibT_eX]

[DOI]

CoRR, 2020

End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.

[BibT_eX]

[DOI]

CoRR, 2020

Provable Robust Learning Based on Transformation-Specific Smoothing.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Mutate with Hypergradient Guided Population.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Convergence of Nearest Neighbor Classifiers over Feature Transformations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation.

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Building Continuous Integration Services for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation.

[BibT_eX]

[DOI]

Giuseppe Russo

Claudiu Cristian Musat

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Observer Dependent Lossy Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation.

[BibT_eX]

[DOI]

Adrian Van der Lek

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Automatic CASH via Rising Bandits.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Opportunities for Data Management Research in the Era of Horizontal AI/ML.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Data Science through the looking glass and what we found there.

[BibT_eX]

[DOI]

Konstantinos Karanasos

CoRR, 2019

An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms.

[BibT_eX]

[DOI]

CoRR, 2019

DocParser: Hierarchical Structure Parsing of Document Renderings.

[BibT_eX]

[DOI]

CoRR, 2019

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation.

[BibT_eX]

[DOI]

CoRR, 2019

Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy.

[BibT_eX]

[DOI]

CoRR, 2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.

[BibT_eX]

[DOI]

CoRR, 2019

Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter.

[BibT_eX]

[DOI]

Frances Ann Hubis

Wentao Wu

Dimitris S. Papailiopoulos

CoRR, 2019

CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis].

[BibT_eX]

[DOI]

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Advancing NLP with Cognitive Language Processing Signals.

[BibT_eX]

[DOI]

CoRR, 2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2019

Sensing Social Media Signals for Cryptocurrency News.

[BibT_eX]

[DOI]

Nino Antulov-Fantulin

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Is advance knowledge of flow sizes a plausible assumption?

[BibT_eX]

[DOI]

Vojislav Dukic

Sangeetha Abdu Jyothi

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

Entity Recognition at First Sight: Improving NER with Eye Movement Information.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment.

[BibT_eX]

[DOI]

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Distributed Learning over Unreliable Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

MLlib*: Fast Training of GLMs Using Spark MLlib.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

CogniVal: A Framework for Cognitive Word Embedding Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Towards Efficient Data Valuation Based on the Shapley Value.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

MLBench: Benchmarking Machine Learning Services Against Human Experts.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Ease.ml in Action: Towards Multi-tenant Declarative Learning Services.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Exploring galaxy evolution with generative models.

[BibT_eX]

[DOI]

Kevin Schawinski

M. Dennis Turp

CoRR, 2018

Using transfer learning to detect galaxy mergers.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-device, Multi-tenant Model Selection with GP-EI.

[BibT_eX]

[DOI]

CoRR, 2018

Decentralization Meets Quantization.

[BibT_eX]

[DOI]

CoRR, 2018

Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond.

[BibT_eX]

[DOI]

CoRR, 2018

DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation.

[BibT_eX]

[DOI]

CoRR, 2018

DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction.

[BibT_eX]

[DOI]

Jonathan Rotsztejn

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Communication Compression for Decentralized Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

D<sup>2</sup>: Decentralized Training over Decentralized Data.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Decentralized Parallel Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Inferring Short-Term Volatility Indicators from the Bitcoin Blockchain.

[BibT_eX]

[DOI]

Nino Antulov-Fantulin

Proceedings of the Complex Networks and Their Applications VII, 2018

Network Scheduling in the Dark.

[BibT_eX]

[DOI]

Vojislav Dukic

Sangeetha Abdu Jyothi

Proceedings of the ACM Symposium on Cloud Computing, 2018

Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.

[BibT_eX]

[DOI]

Heng Guo

Kaan Kara

Gokula Krishnan Santhanam

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017

Incremental knowledge base construction using DeepDive.

[BibT_eX]

[DOI]

VLDB J., 2017

An Experimental Evaluation of SimRank-based Similarity Search Algorithms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

LDA*: A Robust and Large-scale Topic Modeling System.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

MLog: Towards Declarative In-Database Machine Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

How Good Are Machine Learning Clouds for Binary Classification with Good Features?

[BibT_eX]

[DOI]

CoRR, 2017

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.

[BibT_eX]

[DOI]

CoRR, 2017

DeepDive: declarative knowledge base construction.

[BibT_eX]

[DOI]

Commun. ACM, 2017

An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision.

[BibT_eX]

[DOI]

Wentao Wu

Tian Li

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Heterogeneity-aware Distributed Parameter Servers.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

TencentBoost: A Gradient Boosting Tree System with Parameter Server.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

How good are machine learning clouds for binary classification with good features?: extended abstract.

[BibT_eX]

[DOI]

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

2016

Materialization Optimizations for Feature Selection Workloads.

[BibT_eX]

[DOI]

Arun Kumar

Dimitris S. Papailiopoulos

ACM Trans. Database Syst., 2016

DeepDive: Declarative Knowledge Base Construction.

[BibT_eX]

[DOI]

SIGMOD Rec., 2016

ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models.

[BibT_eX]

[DOI]

CoRR, 2016

CYCLADES: Conflict-free Asynchronous Machine Learning.

[BibT_eX]

[DOI]

Xinghao Pan

Maximilian Lam

Stephen Tu

CoRR, 2016

Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs.

[BibT_eX]

[DOI]

CoRR, 2016

Large-scale extraction of gene interactions from full-text literature using DeepDive.

[BibT_eX]

[DOI]

Bioinform., 2016

Extracting Databases from Dark Data with DeepDive.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Android malware development on public malware scanning platforms: A large-scale data-driven study.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Asynchrony begets momentum, with an application to deep learning.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Incremental Knowledge Base Construction Using DeepDive.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2015

Incremental Knowledge Base Construction Using DeepDive.

[BibT_eX]

[DOI]

CoRR, 2015

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015

Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

DimmWitted: A Study of Main-Memory Statistical Analytics.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Feature Engineering for Knowledge Base Construction.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2014

A machine-compiled macroevolutionary history of Phanerozoic life.

[BibT_eX]

[DOI]

CoRR, 2014

Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, 2014

Parallel Feature Selection Inspired by Group Testing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

An Approximate, Efficient Solver for LP Rounding.

[BibT_eX]

[DOI]

CoRR, 2013

Bootstrapping Knowledge Base Acceleration.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Towards high-throughput gibbs sampling at scale: a study across storage managers.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

GeoDeepDive: statistical inference using familiar data-processing languages.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

An Approximate, Efficient LP Solver for LP Rounding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Markov logic framework for recognizing complex events from multimodal data.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Brainwash: A Data System for Feature Engineering.

[BibT_eX]

[DOI]

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

Understanding Tables in Context Using Standard NLP Toolkits.

[BibT_eX]

[DOI]

Vidhya Govindaraju