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08/24/2023
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Binary Code Embedding (BCE) has important applications in various revers...
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08/11/2023
DF2: Distribution-Free Decision-Focused Learning
Decision-focused learning (DFL) has recently emerged as a powerful appro...
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07/17/2023
Autoregressive Diffusion Model for Graph Generation
Diffusion-based graph generative models have recently obtained promising...
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06/08/2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
This paper introduces a novel transformer-based network architecture, Fl...
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06/02/2023
Can Contextual Biasing Remain Effective with Whisper and GPT-2?
End-to-end automatic speech recognition (ASR) and large language models,...
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05/23/2023
Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph
Identifying and mitigating vulnerabilities in smart contracts is crucial...
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05/19/2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
We propose and study Complementary Concept Generation (CCGen): given a c...
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11/01/2022
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems
Automatic speech recognition (ASR) systems typically rely on an external...
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10/31/2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Anomaly detection, which is a critical and popular topic in computer vis...
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10/26/2022
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
We study the problem of extracting N-ary relation tuples from scientific...
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08/29/2022
Turn-Taking Prediction for Natural Conversational Speech
While a streaming voice assistant system has been used in many applicati...
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07/16/2022
Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training
Instance discrimination contrastive learning (CL) has achieved significa...
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07/08/2022
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription
Self-supervised-learning-based pre-trained models for speech data, such ...
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06/22/2022
Robust mixed finite element methods for a quad-curl singular perturbation problem
Robust mixed finite element methods are developed for a quad-curl singul...
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03/30/2022
FlowFormer: A Transformer Architecture for Optical Flow
We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...
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12/02/2021
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
The recently developed Particle-based Variational Inference (ParVI) meth...
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11/12/2021
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
The growing availability of the data collected from smart manufacturing ...
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11/02/2021
iCallee: Recovering Call Graphs for Binaries
Recovering programs' call graphs is crucial for inter-procedural analysi...
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07/29/2021
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition
Language models (LMs) pre-trained on massive amounts of text, in particu...
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05/29/2021
A Federated Learning Framework for Nonconvex-PL Minimax Problems
We consider a general class of nonconvex-PL minimax problems in the cros...
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04/23/2021
Sketch-based Normal Map Generation with Geometric Sampling
Normal map is an important and efficient way to represent complex 3D mod...
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04/23/2021
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
Face deepfake detection has seen impressive results recently. Nearly all...
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12/22/2020
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
This work presents a quantum convolutional neural network (QCNN) for the...
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11/25/2020
SAR-Net: A End-to-End Deep Speech Accent Recognition Network
This paper proposes a end-to-end deep network to recognize kinds of acce...
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10/15/2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Fine-tuned pre-trained language models (LMs) achieve enormous success in...
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10/09/2020
Denoising Multi-Source Weak Supervision for Neural Text Classification
We study the problem of learning neural text classifiers without using a...
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08/31/2020
Continuous Color Transfer
Color transfer, which plays a key role in image editing, has attracted n...
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07/11/2020
Deep Patch-based Human Segmentation
3D human segmentation has seen noticeable progress in re-cent years. It,...
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11/10/2019
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Deep learning has revolutionized speech recognition, image recognition, ...
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10/22/2019
Discriminative Neural Clustering for Speaker Diarisation
This paper proposes a novel method for supervised data clustering. The c...
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10/21/2019
Aggregated Gradient Langevin Dynamics
In this paper, we explore a general Aggregated Gradient Langevin Dynamic...
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08/20/2019
CatE: Category-Name GuidedWord Embedding
Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...
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06/23/2019
Optimal Solution Predictions for Mixed Integer Programs
Mixed Integer Programming (MIP) is one of the most widely used modeling ...
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03/26/2019
Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images
Complex blur like the mixup of space-variant and space-invariant blur, w...
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01/22/2018
Binary output layer of feedforward neural networks for solving multi-class classification problems
Considered in this short note is the design of output layer nodes of fee...
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11/17/2016
