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09/15/2023
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Evaluating open-domain dialogue systems is challenging for reasons such ...
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09/15/2023
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates
Oobleck enables resilient distributed training of large DNN models with ...
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08/30/2023
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective
In recent years, blockchain technology has introduced decentralized fina...
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08/30/2023
Depth analysis of battery performance based on a data-driven approach
Capacity attenuation is one of the most intractable issues in the curren...
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08/02/2023
Factor Graph Neural Networks
In recent years, we have witnessed a surge of Graph Neural Networks (GNN...
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07/16/2023
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression
Misfolded tau proteins play a critical role in the progression and patho...
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07/05/2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
The scale of large pre-trained models (PTMs) poses significant challenge...
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06/05/2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
As a main field of artificial intelligence, natural language processing ...
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06/01/2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Recently, aspect sentiment quad prediction has received widespread atten...
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05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
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05/02/2023
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment
Pre-trained vision and language models such as CLIP have witnessed remar...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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03/29/2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
As various forms of fraud proliferate on Ethereum, it is imperative to s...
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03/25/2023
Multi-pooling 3D Convolutional Neural Network for fMRI Classification of Visual Brain States
Neural decoding of visual object classification via functional magnetic ...
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02/16/2023
Decoupled Model Schedule for Deep Learning Training
Recent years have seen an increase in the development of large deep lear...
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09/17/2022
A Diffuse-Domain Based Numerical Method for a Chemotaxis-Fluid Model
In this paper, we consider a coupled chemotaxis-fluid system that models...
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07/11/2022
Counterexample Generation for Infinite-State Chemical Reaction Networks
Counterexample generation is an indispensable part of model checking pro...
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06/15/2022
Sparse Structure Search for Parameter-Efficient Tuning
Adapting large pre-trained models (PTMs) through fine-tuning imposes pro...
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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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05/23/2022
MolMiner: You only look once for chemical structure recognition
Molecular structures are always depicted as 2D printed form in scientifi...
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04/30/2022
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
Existing general purpose frameworks for gigantic model training, i.e., m...
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04/21/2022
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
As the pump-and-dump schemes (P Ds) proliferate in the cryptocurrency ...
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02/03/2022
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks
The dynamics of systems biological processes are usually modeled by a sy...
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01/14/2022
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Solving high-dimensional optimal control problems in real-time is an imp...
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01/10/2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatme...
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09/08/2021
Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation
This paper presents a method of learning Local-GlObal Contextual Adaptat...
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08/31/2021
GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems
We propose the GENERIC formalism informed neural networks (GFINNs) that ...
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07/30/2021
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
We develop a novel framework that adds the regularizers of the sparse gr...
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07/14/2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Domain Adaptation has been widely used to deal with the distribution shi...
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07/14/2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Present domain adaptation methods usually perform explicit representatio...
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06/09/2021
Ultra High Dimensional Change Point Detection
Structural breaks have been commonly seen in applications. Specifically ...
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04/06/2021
A Thermodynamically Consistent Model and Its Conservative Numerical Approximation for Moving Contact Lines with Soluble Surfactants
We derive a continuum sharp-interface model for moving contact lines wit...
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03/22/2021
Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images
With the development of medical computer-aided diagnostic systems, pulmo...
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12/23/2020
Market Impact in Trader-Agents: Adding Multi-Level Order-Flow Imbalance-Sensitivity to Automated Trading Systems
Financial markets populated by human traders often exhibit "market impac...
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12/05/2020
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
We propose the Poisson neural networks (PNNs) to learn Poisson systems a...
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11/24/2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Graph neural networks (GNNs) have emerged as effective approaches for gr...
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11/13/2020
Deep Reinforcement Learning of Transition States
Combining reinforcement learning (RL) and molecular dynamics (MD) simula...
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11/01/2020
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Multi-Agent Path Finding has been widely studied in the past few years d...
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10/29/2020
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
Delineating the brain tumor from magnetic resonance (MR) images is criti...
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08/13/2020
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Multi-sequence of cardiac magnetic resonance (CMR) images can provide co...
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08/04/2020
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
Distributed linguistic representations are powerful tools for modelling ...
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06/17/2020
Is Network the Bottleneck of Distributed Training?
Recently there has been a surge of research on improving the communicati...
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06/07/2020
MIM: A deep mixed residual method for solving high-order partial differential equations
In recent years, a significant amount of attention has been paid to solv...
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04/25/2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
Deep learning is transforming many areas in science, and it has great po...
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03/18/2020
Few-Shot Graph Classification with Model Agnostic Meta-Learning
Graph classification aims to perform accurate information extraction and...
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02/29/2020
Multiplicative Gaussian Particle Filter
We propose a new sampling-based approach for approximate inference in fi...
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11/25/2019
KerGM: Kernelized Graph Matching
Graph matching plays a central role in such fields as computer vision, p...
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11/25/2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
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11/22/2019
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
We address the problem of Visual Relationship Detection (VRD) which aims...
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11/14/2019