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08/23/2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
As an effective tool for eliciting the power of Large Language Models (L...
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07/01/2023
PersonaGen: A Tool for Generating Personas from User Feedback
Personas are crucial in software development processes, particularly in ...
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06/25/2023
Enhancing Dynamic Image Advertising with Vision-Language Pre-training
In the multimedia era, image is an effective medium in search advertisin...
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06/21/2023
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
One of the fundamental challenges in causal inference is to estimate the...
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06/18/2023
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators
In this article we develop a feasible version of the assumption-lean tes...
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06/09/2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Image compression aims to reduce the information redundancy in images. M...
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06/08/2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Ranking model plays an essential role in e-commerce search and recommend...
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06/08/2023
Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
When the base station has downlink channel status information (CSI), the...
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05/31/2023
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network
Computed tomography (CT) scans offer a detailed, three-dimensional repre...
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05/07/2023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
Treatment effect estimation under unconfoundedness is a fundamental task...
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04/24/2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
An essential problem in causal inference is estimating causal effects fr...
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04/10/2023
Linking a predictive model to causal effect estimation
A predictive model makes outcome predictions based on some given feature...
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03/07/2023
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer
In this paper, we propose an effective sound event detection (SED) metho...
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02/19/2023
Disentangled Representation for Causal Mediation Analysis
Estimating direct and indirect causal effects from observational data is...
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02/16/2023
New √(n)-consistent, numerically stable higher-order influence function estimators
Higher-Order Influence Functions (HOIFs) provide a unified theory for co...
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11/29/2022
Causal Inference with Conditional Instruments using Deep Generative Models
The instrumental variable (IV) approach is a widely used way to estimate...
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10/20/2022
Linear mixed model vs two-stage methods: Developing prognostic models of diabetic kidney disease progression
Identifying prognostic factors for disease progression is a cornerstone ...
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10/10/2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Causal mediation analysis can unpack the black box of causality and is t...
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08/23/2022
Low-Light Video Enhancement with Synthetic Event Guidance
Low-light video enhancement (LLVE) is an important yet challenging task ...
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08/20/2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
In many fields of scientific research and real-world applications, unbia...
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08/19/2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Much research has been devoted to the problem of learning fair represent...
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08/16/2022
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images
Pathologists need to combine information from differently stained pathol...
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06/23/2022
Explanatory causal effects for model agnostic explanations
This paper studies the problem of estimating the contributions of featur...
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06/04/2022
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data
Instrumental variable (IV) is a powerful approach to inferring the causa...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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04/08/2022
Global Update Guided Federated Learning
Federated learning protects data privacy and security by exchanging mode...
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03/11/2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Learning an generalized prior for natural image restoration is an import...
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03/09/2022
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It
Many fundamental problems affecting the care of critically ill patients ...
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02/01/2022
Sequential Search with Off-Policy Reinforcement Learning
Recent years have seen a significant amount of interests in Sequential R...
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01/26/2022
A Cooperation-Aware Lane Change Method for Autonomous Vehicles
Lane change for autonomous vehicles (AVs) is an important but challengin...
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01/11/2022
Ancestral instrument method for causal inference without a causal graph
Unobserved confounding is the main obstacle to causal effect estimation ...
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12/20/2021
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
Local-to-global learning approach plays an essential role in Bayesian ne...
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12/17/2021
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers
We propose a novel zero-shot multi-frame image restoration method for re...
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05/30/2021
A splitting Hamiltonian Monte Carlo method for efficient sampling
We propose a splitting Hamiltonian Monte Carlo (SHMC) algorithm, which c...
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03/23/2021
Any Part of Bayesian Network Structure Learning
We study an interesting and challenging problem, learning any part of a ...
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03/11/2021
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
Causal Learner is a toolbox for learning causal structure and Markov bla...
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02/04/2021
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
In the simulation-based testing and evaluation of autonomous vehicles (A...
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12/06/2020
Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker
In this paper, we present a novel scenario for directional modulation (D...
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11/16/2020
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Brain tumor is one of the leading causes of cancer-related death globall...
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11/13/2020
Dependency-based Anomaly Detection: Framework, Methods and Benchmark
Anomaly detection is an important research problem because anomalies oft...
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11/12/2020
Learning causal representations for robust domain adaptation
Domain adaptation solves the learning problem in a target domain by leve...
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11/03/2020
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
Moire artifacts are common in digital photography, resulting from the in...
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10/08/2020
Assessing the Fairness of Classifiers with Collider Bias
The increasing maturity of machine learning technologies and their appli...
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09/14/2020
Sufficient Dimension Reduction for Average Causal Effect Estimation
Having a large number of covariates can have a negative impact on the qu...
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08/07/2020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
This is the rejoinder to the discussion by Kennedy, Balakrishnan and Was...
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07/24/2020
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Product search is the most common way for people to satisfy their shoppi...
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07/20/2020
Local search for efficient causal effect estimation
Causal effect estimation from observational data is an important but cha...
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07/14/2020
Wavelet-Based Dual-Branch Network for Image Demoireing
When smartphone cameras are used to take photos of digital screens, usua...
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07/14/2020
A unified survey on treatment effect heterogeneity modeling and uplift modeling
A central question in many fields of scientific research is to determine...
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07/02/2020
