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09/08/2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Data silos, mainly caused by privacy and interoperability, significantly...
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08/22/2023
Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration
Misalignments between multi-modality images pose challenges in image fus...
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08/11/2023
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Continual learning (CL) trains NN models incrementally from a continuous...
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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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07/18/2023
Newtonian Program Analysis of Probabilistic Programs
Due to their quantitative nature, probabilistic programs pose non-trivia...
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06/18/2023
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization
Actor-critic algorithms have shown remarkable success in solving state-o...
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06/01/2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
In this paper, we study the problem of (finite horizon tabular) Markov d...
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05/26/2023
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
Recently, significant progress has been made in understanding the genera...
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05/24/2023
Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
In recent years, low-carbon transportation has become an indispensable p...
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05/17/2023
An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection
This research focuses on the discovery and localization of hidden object...
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04/23/2023
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning
As deep learning continues to advance and is applied to increasingly com...
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04/23/2023
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Recent neural architecture search (NAS) based approaches have made great...
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04/15/2023
Practical Differentially Private and Byzantine-resilient Federated Learning
Privacy and Byzantine resilience are two indispensable requirements for ...
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04/06/2023
Inductive Graph Unlearning
As a way to implement the "right to be forgotten" in machine learning, m...
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03/31/2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
In this paper, we revisit the problem of Differentially Private Stochast...
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03/20/2023
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System
Optical Image Stabilization (OIS) system in mobile devices reduces image...
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03/08/2023
Sketching with Spherical Designs for Noisy Data Fitting on Spheres
This paper proposes a sketching strategy based on spherical designs, whi...
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02/22/2023
Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores
Polygenic hazard score (PHS) models designed for European ancestry (EUR)...
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02/21/2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
In recent years, large amounts of electronic health records (EHRs) conce...
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02/20/2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Heterogeneous data is endemic due to the use of diverse models and setti...
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02/16/2023
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning
In this paper, we investigate the problem of episodic reinforcement lear...
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02/16/2023
Joint Feedback Loop for Spend and Return-On-Spend Constraints
Budget pacing is a popular service that has been offered by major intern...
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02/06/2023
On Private and Robust Bandits
We study private and robust multi-armed bandits (MABs), where the agent ...
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02/03/2023
Robust Budget Pacing with a Single Sample
Major Internet advertising platforms offer budget pacing tools as a stan...
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01/23/2023
Quantum Heavy-tailed Bandits
In this paper, we study multi-armed bandits (MAB) and stochastic linear ...
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01/21/2023
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence
In this paper, we propose a novel probabilistic variant of iterative clo...
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01/17/2023
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
As a fundamental and challenging task in bridging language and vision do...
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01/11/2023
Loss-Controlling Calibration for Predictive Models
We propose a learning framework for calibrating predictive models to mak...
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01/04/2023
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
Recent studies on knowledge graphs (KGs) show that path-based methods em...
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12/31/2022
Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy
Tobacco origin identification is significantly important in tobacco indu...
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12/30/2022
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
This paper studies the quantization of heavy-tailed data in some fundame...
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12/24/2022
Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges
As a common appearance defect of concrete bridges, cracks are important ...
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11/23/2022
SEAT: Stable and Explainable Attention
Currently, attention mechanism becomes a standard fixture in most state-...
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11/19/2022
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement
Underwater image enhancement has become an attractive topic as a signifi...
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10/07/2022
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)
Recent years have seen advances on principles and guidance relating to a...
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10/03/2022
On Stability and Generalization of Bilevel Optimization Problem
(Stochastic) bilevel optimization is a frequently encountered problem in...
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09/17/2022
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data
In this paper, we study the problem of PAC learning halfspaces in the no...
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09/16/2022
Truthful Generalized Linear Models
In this paper we study estimating Generalized Linear Models (GLMs) in th...
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09/10/2022
Pay Attention to Hard Trials
Performance of speaker recognition systems is evaluated on test trials. ...
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08/29/2022
Online Bidding Algorithms for Return-on-Spend Constrained Advertisers
Online advertising has recently grown into a highly competitive and comp...
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08/10/2022
KL-divergence Based Deep Learning for Discrete Time Model
Neural Network (Deep Learning) is a modern model in Artificial Intellige...
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07/22/2022
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies
Deep neural networks currently provide the most advanced and accurate ma...
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07/19/2022
Prior-Independent Auctions for Heterogeneous Bidders
We study the design of prior-independent auctions in a setting with hete...
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05/24/2022
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
Recent learning-based image fusion methods have marked numerous progress...
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03/29/2022
High-Dimensional Vector Autoregression with Common Response and Predictor Factors
Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...
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03/17/2022
A Survey of Multi-Tenant Deep Learning Inference on GPU
Deep Learning (DL) models have achieved superior performance. Meanwhile,...
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03/06/2022
C-P Map: A Novel Evaluation Toolkit for Speaker Verification
Evaluation trials are used to probe performance of automatic speaker ver...
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02/26/2022
High Dimensional Statistical Estimation under One-bit Quantization
Compared with data with high precision, one-bit (binary) data are prefer...
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01/23/2022
Accelerated numerical algorithms for steady states of Gross-Pitaevskii equations coupled with microwaves
We present two accelerated numerical algorithms for single-component and...
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01/10/2022