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09/12/2023
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Recent advancements in language models (LMs) have gained substantial att...
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09/12/2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Logs play a crucial role in system monitoring and debugging by recording...
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08/29/2023
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
Intelligent robots are designed to effectively navigate dynamic and unpr...
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08/29/2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Autonomous robotic systems, like autonomous vehicles and robotic search ...
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08/27/2023
4D Myocardium Reconstruction with Decoupled Motion and Shape Model
Estimating the shape and motion state of the myocardium is essential in ...
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08/11/2023
Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT
We hypothesize that large language models (LLMs) based on the transforme...
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08/04/2023
Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Recently, visual-language learning has shown great potential in enhancin...
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07/29/2023
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Recent research has demonstrated the potential of reinforcement learning...
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07/26/2023
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Transformer-based pretrained language models (PLMs) have achieved great ...
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07/22/2023
MIMONet: Multi-Input Multi-Output On-Device Deep Learning
Future intelligent robots are expected to process multiple inputs simult...
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07/11/2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
DL compiler's primary function is to translate DNN programs written in h...
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06/25/2023
Weakly Supervised Scene Text Generation for Low-resource Languages
A large number of annotated training images is crucial for training succ...
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06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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06/01/2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
Deep Learning (DL) models have been popular nowadays to execute differen...
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05/22/2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
Modeling multi-party conversations (MPCs) with graph neural networks has...
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05/21/2023
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction
Zero-shot cross-lingual information extraction(IE) aims at constructing ...
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05/20/2023
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained l...
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05/18/2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
Lifelong learning agents aim to learn multiple tasks sequentially over a...
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05/16/2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
Addressing the issues of who saying what to whom in multi-party conversa...
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05/09/2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st Internat...
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05/05/2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
Jointly extracting entity pairs and their relations is challenging when ...
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05/05/2023
White-Box Multi-Objective Adversarial Attack on Dialogue Generation
Pre-trained transformers are popular in state-of-the-art dialogue genera...
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04/03/2023
OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts
Historical manuscript processing poses challenges like limited annotated...
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03/24/2023
HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures
The problem of document structure reconstruction refers to converting di...
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03/22/2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
A hard challenge in developing practical face recognition (FR) attacks i...
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03/11/2023
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition
The Multi-modal Information based Speech Processing (MISP) challenge aim...
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03/08/2023
SEMv2: Table Separation Line Detection Based on Conditional Convolution
Table structure recognition is an indispensable element for enabling mac...
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03/06/2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Deep learning models are challenged by the distribution shift between th...
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02/19/2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Adversarial attacks are valuable for evaluating the robustness of deep l...
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02/07/2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where ad...
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12/16/2022
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing
Most recent studies on neural constituency parsing focus on encoder stru...
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12/07/2022
WIDER CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Zero-shot cross-lingual named entity recognition (NER) aims at transferr...
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12/07/2022
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Speech pre-training has shown great success in learning useful and gener...
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12/07/2022
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Self-supervised learning (SSL) models have achieved considerable improve...
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12/07/2022
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
Multilingual end-to-end models have shown great improvement over monolin...
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12/06/2022
Self-Supervised Audio-Visual Speech Representations Learning By Multimodal Self-Distillation
In this work, we present a novel method, named AV2vec, for learning audi...
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11/03/2022
Joint Chinese Word Segmentation and Span-based Constituency Parsing
In constituency parsing, span-based decoding is an important direction. ...
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11/01/2022
Order-sensitive Neural Constituency Parsing
We propose a novel algorithm that improves on the previous neural span-b...
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10/13/2022
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture
The attention mechanism requires huge computational efforts to process u...
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10/10/2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are...
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10/07/2022
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
Neural Machine Translation (NMT) systems have received much recent atten...
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07/19/2022
Xronos: Predictable Coordination for Safety-Critical Distributed Embedded Systems
Asynchronous frameworks for distributed embedded systems, like ROS and M...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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05/20/2022
Learning to Reverse DNNs from AI Programs Automatically
With the privatization deployment of DNNs on edge devices, the security ...
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03/29/2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Neural image caption generation (NICG) models have received massive atte...
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03/08/2022
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention
Recently, Transformers have shown promising performance in various visio...
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02/12/2022
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Recently, various Deep Neural Network (DNN) models have been proposed fo...
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02/10/2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Knowledge graph embedding (KGE) models learn the representation of entit...
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02/08/2022
