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06/28/2023
Incremental Learning on Food Instance Segmentation
Food instance segmentation is essential to estimate the serving size of ...
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06/05/2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
Dense retrievers have achieved impressive performance, but their demand ...
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06/03/2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
The diffusion model has shown remarkable success in computer vision, but...
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04/17/2023
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition
Clothing segmentation and fine-grained attribute recognition are challen...
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03/20/2023
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
It is a time-consuming and tedious work for manually colorizing anime li...
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12/21/2022
Attention-Aware Anime Line Drawing Colorization
Automatic colorization of anime line drawing has attracted much attentio...
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10/27/2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
We present Twin Answer Sentences Attack (TASA), an adversarial attack me...
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10/24/2022
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
SNNs are an active research domain towards energy efficient machine inte...
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09/07/2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
Pre-Training (PT) of text representations has been successfully applied ...
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08/16/2022
FEC: Fast Euclidean Clustering for Point Cloud Segmentation
Segmentation from point cloud data is essential in many applications suc...
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06/21/2022
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials
Recently, the development of machine learning (ML) potentials has made i...
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06/20/2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling
Many applications in computational sciences and statistical inference re...
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05/22/2022
Interpretable Proof Generation via Iterative Backward Reasoning
We present IBR, an Iterative Backward Reasoning model to solve the proof...
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05/22/2022
Phrase-level Textual Adversarial Attack with Label Preservation
Generating high-quality textual adversarial examples is critical for inv...
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05/15/2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
Graph convolutional networks (GCNs) have shown remarkable learning capab...
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04/21/2022
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation
Towards building intelligent dialogue agents, there has been a growing i...
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04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
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01/27/2022
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment
In Vitro Fertilization (IVF) is the most widely used Assisted Reproducti...
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01/19/2022
Swin-Pose: Swin Transformer Based Human Pose Estimation
Convolutional neural networks (CNNs) have been widely utilized in many c...
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12/13/2021
Plurality and Quantification in Graph Representation of Meaning
In this thesis we present a semantic representation formalism based on d...
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09/18/2021
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem
Multi-Instance GPU (MIG) is a new feature introduced by NVIDIA A100 GPUs...
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08/14/2021
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
In-memory computing (IMC) on a monolithic chip for deep learning faces d...
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07/28/2021
Underwater inspection and intervention dataset
This paper presents a novel dataset for the development of visual naviga...
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07/06/2021
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
With the widespread use of Deep Neural Networks (DNNs), machine learning...
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05/04/2021
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Deep learning recommendation systems at scale have provided remarkable g...
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04/08/2021
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Financial markets are a complex dynamical system. The complexity comes f...
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03/26/2021
DAGN: Discourse-Aware Graph Network for Logical Reasoning
Recent QA with logical reasoning questions requires passage-level relati...
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03/02/2021
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation
Dialogue generation models face the challenge of producing generic and r...
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03/01/2021
Structure-preserving numerical schemes for Lindblad equations
We study a family of structure-preserving deterministic numerical scheme...
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01/11/2021
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
Colorectal polyps are abnormal tissues growing on the intima of the colo...
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11/09/2020
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment
This paper presents the design of a tune-free (human-out-of-the-loop par...
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11/01/2020
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling
An accurate vehicle dynamic model is the key to bridge the gap between s...
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10/15/2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources
Large-scale pretrained language models have achieved outstanding perform...
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04/03/2020
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks
Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...
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03/28/2020
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
High-fidelity clothing reconstruction is the key to achieving photoreali...
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03/26/2020
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a primary cause of blindness in working-age...
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03/22/2020
Complexity of randomized algorithms for underdamped Langevin dynamics
We establish an information complexity lower bound of randomized algorit...
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01/29/2020
3D Aggregated Faster R-CNN for General Lesion Detection
Lesions are damages and abnormalities in tissues of the human body. Many...
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12/26/2019
Colorectal Polyp Segmentation by U-Net with Dilation Convolution
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers an...
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11/19/2019
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
Diabetic retinopathy (DR) is a diabetes complication that affects eyes. ...
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11/13/2019
Unsupervised Domain Adaptation on Reading Comprehension
Reading comprehension (RC) has been studied in a variety of datasets wit...
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11/11/2019
Structural Pruning in Deep Neural Networks: A Small-World Approach
Deep Neural Networks (DNNs) are usually over-parameterized, causing exce...
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09/05/2019
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Though state-of-the-art sentence representation models can perform tasks...
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09/05/2019
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...
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08/29/2019
3D Anchor-Free Lesion Detector on Computed Tomography Scans
Lesions are injuries and abnormal tissues in the human body. Detecting l...
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08/22/2019
Multi-Stream Single Shot Spatial-Temporal Action Detection
We present a 3D Convolutional Neural Networks (CNNs) based single shot d...
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08/15/2019
Automatic Compiler Based FPGA Accelerator for CNN Training
Training of convolutional neural networks (CNNs)on embedded platforms to...
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05/28/2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
There is an increasing need of continual learning in dynamic systems, su...
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05/28/2019
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
Machine learning algorithms have made significant advances in many appli...
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05/27/2019