Recherche

La recherche joue un rôle majeur dans le domaine du Machine Learning. Avec des publications de premier ordre chaque année, l’EPFL jouit d’une excellente réputation.

2020

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

M. Ehrmann; M. Romanello; A. Flückiger; S. Clematide

2020-09-15. 11th International Conference of the CLEF Association – CLEF 2020, Thessaloniki, Greece, September 22–25, 2020. p. 288–310. DOI : 10.1007/978-3-030-58219-7_21.

Recherche

2020

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

Precise Hand Finger Width Estimation via RGB-D Data

Musical Source Separation

Far-Field Subwavelength Acoustic Imaging by Deep Learning

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

Redundant features can hurt robustness to distributions shift

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Understanding and Improving Fast Adversarial Training

Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Detecting solar rooftop photovoltaic panels in aerial images using neural networks: a transfer learning approach

On the Experimental Transferability of Spectral Graph Convolutional Networks

Geometric deep learning for medium-range weather prediction

WatchNet plus plus : efficient and accurate depth-based network for detecting people attacks and intrusion

Shape Reconstruction by Learning Differentiable Surface Representations

Editorial: Computational Pathology

Joint Segmentation and Path Classification of Curvilinear Structures

Joint Human Pose Estimation and Stereo 3D Localization

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Accurate deep neural network inference using computational phase-change memory

Noise-Resilient and Interpretable Epileptic Seizure Detection

Constraint-aware neural networks for Riemann problems

Multi-View Shape Estimation of Transparent Containers

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Unsupervised Stereo Matching Using Confidential Correspondence Consistency

Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers

ExprADA: Adversarial domain adaptation for facial expression analysis

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Classification of tokamak plasma confinement states with convolutional recurrent neural networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Collaborative Sampling in Generative Adversarial Networks

Annealing and Replica-Symmetry in Deep Boltzmann Machines

Deep-learning projector for optical diffraction tomography

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Scaling description of generalization with number of parameters in deep learning

Vision based pixel-level bridge structural damage detection using a link ASPP network

Methods for strong gravitational lens detection and analysis using machine learning and high performance computing

Comparison of crack segmentation using digital image correlation measurements and deep learning

Reconstruction Methods for Cryo-Electron Microscopy: From Model-based to Data-driven

Data Structures and Algorithms for Logic Synthesis in Advanced Technologies

Towards neural network approaches for point cloud compression

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

Single Image Deraining Using Time-Lapse Data

Towards Real-World Super-Resolution using Deep Neural Networks

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

Redundant features can hurt robustness to distribution shift

Deep Generative Models and Applications

Neural Network Based End-to-End Query by Example Spoken Term Detection

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

Dynamic Model Pruning with Feedback

Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques

Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

Learning stereo reconstruction with deep neural networks

Crowding and the Architecture of the Visual System

Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

Byzantine machine learning

What graph neural networks cannot learn: depth vs width

Sparse and Parametric Modeling with Applications to Acoustics and Audio

Multi-memristive synaptic architectures for training neural networks

Evaluating the search phase of neural architecture search

Domain-Adaptive Multibranch Networks

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Enhancing discrete choice models with representation learning

2019

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Comparing dynamics: deep neural networks versus glassy systems