rhenao-group Goto Github PK

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active-learning

Reliable Active Learning via Influence Functions (TMLR 2023).

adept

Adaptive Discretization for Event PredicTion (ADEPT) (AISTATS 2024)

adversarial_time_to_event

Adversarial Time-to-Event Modeling (ICML 2018).

bert_label_embedding

Integrating task specific information into pretrained language models for low resource fine tuning (EMNLP 2020).

calibration_uncertainty_t2e

Calibration and Uncertainty in Neural Time-to-Event Modeling (TNLSS 2020).

censoredmae

An Effective Meaningful Way to Evaluate Survival Models (ICML 2023).

cf_balancing

Counterfactual representation learning with balancing weights (AISTATS 2021).

cft

Neural Conditional Event Time Models (MLHC 2020).

compositional-image-retrieval

Few-shot composition learning for image retrieval with prompt tuning (AAAI 2023).

contrastive-learning

Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources (ICML 2024).

counterfactual_survival_analysis

Enabling Counterfactual Survival Analysis with Balanced Representations (CHIL 2021).

cross-domain-alignment-ot

Weakly supervised cross-domain alignment with optimal transport (BMVC 2020).

ct-net-models

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes (MIA 2021).

ct-volume-preprocessing

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes (CT Volume Preprocessing) (MIA 2021).

dnmc

Disentangling Whether from When in Neural Mixture Cure Models with Dependent Censoring (AISTATS 2022).

ecrt

Supercharging Imbalanced Data Learning WithCausal Representation Transfer (NeurIPS 2021).

fair-text-generation

Toward fairness in text generation via mutual information minimization based on importance sampling (AISTATS 2023).

fair_text_based_image_retrieval

Mitigating test-time bias for fair image retrieval (NeurIPS 2024)

gradient-importance-learning

Gradient Importance Learning for Incomplete Observations (ICLR 2022).

medgenetics

GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes (Circulation: Arrhythmia and Electrophysiology 2022)

musergcn_democode

Learning Hierarchical Document Graphs From Multilevel Sentence Relations (TNLSS 2021).

pytorch-zoom-in-network

Efficient Classification of Very Large Images with Tiny Objects (CVPR 2022).

relational-autoencoders

Learning Autoencoders with Relational Regularization (ICML 2020).

sarle-labeler

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes (Automatic Extraction of Structured Labels) (MIA 2021).

sghp

Hawkes Process with Flexible Triggering Kernels (MLHC 2023).

stroke-risk-prediction-models

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups (JAMA 2023).

structured_latent_odes

Capturing actionable dynamics with structured latent ordinary differential equations (UAI 2022).

survival_cluster_analysis

Survival Cluster Analysis (CHIL 2020).

tamc

TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile (PLoS Comp Bio 2022).