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09/15/2023
A Real-time Faint Space Debris Detector With Learning-based LCM
With the development of aerospace technology, the increasing population ...
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08/17/2023
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Market making (MM) has attracted significant attention in financial trad...
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08/15/2023
A Survey on Model Compression for Large Language Models
Large Language Models (LLMs) have revolutionized natural language proces...
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08/08/2023
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Federated learning (FL) has been widely deployed to enable machine learn...
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08/01/2023
PVG: Progressive Vision Graph for Vision Recognition
Convolution-based and Transformer-based vision backbone networks process...
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06/15/2023
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Occlusion problem remains a key challenge in Optical Flow Estimation (OF...
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06/11/2023
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
With the increasing demand for large-scale training of machine learning ...
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05/31/2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Multi-output deep neural networks(MONs) contain multiple task branches, ...
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05/18/2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Gradient Boosting Decision Tree (GBDT) has achieved remarkable success i...
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05/16/2023
Generative Table Pre-training Empowers Models for Tabular Prediction
Recently, the topic of table pre-training has attracted considerable res...
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05/03/2023
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
How to effectively represent molecules is a long-standing challenge for ...
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04/24/2023
Analysis of a FEM-MCM Discretization for the 2D/3D stochastic closed-loop geothermal system
This paper develops a new 2D/3D stochastic closed-loop geothermal system...
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04/06/2023
Robust Neural Architecture Search
Neural Architectures Search (NAS) becomes more and more popular over the...
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03/02/2023
Joint cortical registration of geometry and function using semi-supervised learning
Brain surface-based image registration, an important component of brain ...
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02/11/2023
Operation-level Progressive Differentiable Architecture Search
Differentiable Neural Architecture Search (DARTS) is becoming more and m...
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02/11/2023
Improving Differentiable Architecture Search via Self-Distillation
Differentiable Architecture Search (DARTS) is a simple yet efficient Neu...
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01/20/2023
Coresets for Clustering with General Assignment Constraints
Designing small-sized coresets, which approximately preserve the costs o...
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12/12/2022
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Multi-player multi-armed bandit is an increasingly relevant decision-mak...
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12/01/2022
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
This paper revisits building machine learning algorithms that involve in...
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11/22/2022
OpenFE: Automated Feature Generation beyond Expert-level Performance
The goal of automated feature generation is to liberate machine learning...
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11/22/2022
On Optimal Coreset Construction for Euclidean (k,z)-Clustering
Constructing small-sized coresets for various clustering problems in Euc...
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10/26/2022
Knowledge-Guided Exploration in Deep Reinforcement Learning
This paper proposes a new method to drastically speed up deep reinforcem...
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10/13/2022
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
APP-installation information is helpful to describe the user's character...
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10/11/2022
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
News recommendation (NR) is essential for online news services. Existing...
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08/30/2022
Leap-frog neural network for learning the symplectic evolution from partitioned data
For the Hamiltonian system, this work considers the learning and predict...
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08/22/2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization
We propose and analyze several stochastic gradient algorithms for findin...
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07/26/2022
Efficient Algorithms for Sparse Moment Problems without Separation
We consider the sparse moment problem of learning a k-spike mixture in h...
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07/26/2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Recent findings (e.g., arXiv:2103.00065) demonstrate that modern neural ...
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07/21/2022
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning
Despite the success of AI-enabled onboard perception, on-ramp merging ha...
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06/06/2022
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
While large-scale neural language models, such as GPT2 and BART, have ac...
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05/28/2022
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Uncertainty quantification (UQ) of subsurface two-phase flow usually req...
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05/27/2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Proving algorithm-dependent generalization error bounds for gradient-typ...
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05/23/2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Graph contrastive learning (GCL) has attracted a surge of attention due ...
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05/01/2022
Ridgeless Regression with Random Features
Recent theoretical studies illustrated that kernel ridgeless regression ...
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04/29/2022
Analysis of A New Time Filter Algorithm for The Unsteady Stokes/Darcy Model
This paper first presents a first order θ-scheme which is one parameter ...
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04/22/2022
Sharper Utility Bounds for Differentially Private Models
In this paper, by introducing Generalized Bernstein condition, we propos...
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04/18/2022
A Deep Learning Galerkin Method for the Closed-Loop Geothermal System
There has been an arising trend of adopting deep learning methods to stu...
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04/11/2022
Stability and Generalization of Differentially Private Minimax Problems
In the field of machine learning, many problems can be formulated as the...
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02/26/2022
Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits
An explosive growth in the number of on-demand content requests has impo...
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02/13/2022
Generalized Unrelated Machine Scheduling Problem
We study the generalized load-balancing (GLB) problem, where we are give...
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01/18/2022
Machine learning prediction for mean motion resonance behaviour – The planar case
Most recently, machine learning has been used to study the dynamics of i...
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01/12/2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
In the practical application of restoring low-resolution gray-scale imag...
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01/11/2022
CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems
In this article, we present an efficient deep learning method called cou...
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12/15/2021
Simultaneous Monitoring of a Large Number of Heterogeneous Categorical Data Streams
This article proposes a powerful scheme to monitor a large number of cat...
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11/25/2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Graph Neural Networks (GNNs) have become increasingly popular and achiev...
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11/15/2021
Fidelity-Guarantee Entanglement Routing in Quantum Networks
Entanglement routing establishes remote entanglement connection between ...
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11/08/2021
ML-EXray: Visibility into ML Deployment on the Edge
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
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10/19/2021
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
In this paper, we place the atomic action detection problem into a Long-...
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09/27/2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
The few-shot natural language understanding (NLU) task has attracted muc...
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09/20/2021
