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09/17/2023
Enhancing Quantised End-to-End ASR Models via Personalisation
Recent end-to-end automatic speech recognition (ASR) models have become ...
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09/14/2023
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization
Artificial neural networks (ANNs), inspired by the interconnection of re...
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09/13/2023
Can Whisper perform speech-based in-context learning
This paper investigates the in-context learning abilities of the Whisper...
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09/12/2023
AGMDT: Virtual Staining of Renal Histology Images with Adjacency-Guided Multi-Domain Transfer
Renal pathology, as the gold standard of kidney disease diagnosis, requi...
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09/01/2023
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer
Polymer simulation with both accuracy and efficiency is a challenging ta...
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08/27/2023
Situated Natural Language Explanations
Natural language is among the most accessible tools for explaining decis...
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08/25/2023
Multiscale modeling of thermal properties in Polyurethane incorporated with phase change materials composites: A case study
Polyurethane (PU) is an ideal thermal insulation material due to its exc...
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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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08/18/2023
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Mutation-based fuzzing is popular and effective in discovering unseen co...
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08/14/2023
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
Although automatic emotion recognition (AER) has recently drawn signific...
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08/12/2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Deep neural networks (DNNs) are widely deployed on real-world devices. C...
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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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08/01/2023
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects
We present a novel methodology for modeling and forecasting multivariate...
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07/26/2023
Understanding Deep Neural Networks via Linear Separability of Hidden Layers
In this paper, we measure the linear separability of hidden layer output...
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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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07/14/2023
C3: Zero-shot Text-to-SQL with ChatGPT
This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed...
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07/10/2023
Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search
In e-commerce search, personalized retrieval is a crucial technique for ...
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07/04/2023
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data
Manually annotating fine-grained slot-value labels for task-oriented dia...
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06/29/2023
Towards Optimal Randomized Strategies in Adversarial Example Game
The vulnerability of deep neural network models to adversarial example a...
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06/26/2023
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Affordance-centric Question-driven Task Completion (AQTC) for Egocentric...
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06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
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06/23/2023
ToolQA: A Dataset for LLM Question Answering with External Tools
Large Language Models (LLMs) have demonstrated impressive performance in...
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06/15/2023
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation
The excellent generalization ability of self-supervised learning (SSL) f...
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06/11/2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
In automatic emotion recognition (AER), labels assigned by different hum...
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06/11/2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
In this paper, we propose the first fully push-forward-based Distributio...
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06/09/2023
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
3D multi-object tracking (MOT) is vital for many applications including ...
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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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05/30/2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Learning from noisy labels is a challenge that arises in many real-world...
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05/30/2023
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator
The incorporation of biasing words obtained through contextual knowledge...
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05/30/2023
Graph Reasoning for Question Answering with Triplet Retrieval
Answering complex questions often requires reasoning over knowledge grap...
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05/26/2023
AdaPlanner: Adaptive Planning from Feedback with Language Models
Large language models (LLMs) have recently demonstrated the potential in...
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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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05/20/2023
Self-supervised representations in speech-based depression detection
This paper proposes handling training data sparsity in speech-based auto...
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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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05/09/2023
A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling
A kriging-random forest hybrid model is developed for real-time ground p...
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04/23/2023
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Nowadays, algorithms with fast convergence, small memory footprints, and...
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04/23/2023
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Wasserstein Barycenter Problem (WBP) has recently received much attentio...
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04/09/2023
ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing
Java deserialization vulnerability is a severe threat in practice. Resea...
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03/27/2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
This paper investigates cross-lingual temporal knowledge graph reasoning...
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02/27/2023
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems
Large deep learning models have shown great potential for delivering exc...
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02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
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02/22/2023
UML: A Universal Monolingual Output Layer for Multilingual ASR
Word-piece models (WPMs) are commonly used subword units in state-of-the...
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02/08/2023
Auto-Learning: An Adversarial Process of Two Pre-trained Models for Natural Language Generation
Pre-trained models have been used in many fields in recent years, rangin...
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02/02/2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Recently, inspired by DETR variants, query-based end-to-end instance seg...
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01/10/2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Training deep neural networks (DNNs) with limited supervision has been a...
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12/12/2022
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
Online media data, in the forms of images and videos, are becoming mains...
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12/02/2022
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data
In tunnel boring machine (TBM) underground projects, an accurate descrip...
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11/25/2022
End-to-End Stochastic Optimization with Energy-Based Model
Decision-focused learning (DFL) was recently proposed for stochastic opt...
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11/09/2022
