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Adversarial Robustness under Long-Tailed Distribution
Adversarial robustness has attracted extensive studies recently by revea...
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Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
This paper proposes a reinforcement learning method for controller synth...
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ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
The availability of open-source software is playing a remarkable role in...
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Cooperative Beam Hopping for Accurate Positioning in Ultra-Dense LEO Satellite Networks
In ultra-dense LEO satellite networks, conventional communication-orient...
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Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
Knowledge is captured in the form of entities and their relationships an...
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Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
Adversarial attacks have rendered high security risks on modern deep lea...
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Model-Free Learning of Safe yet Effective Controllers
In this paper, we study the problem of learning safe control policies th...
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FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
Client-wise heterogeneity is one of the major issues that hinder effecti...
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Track to Detect and Segment: An Online Multi-Object Tracker
Most online multi-object trackers perform object detection stand-alone i...
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Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE), which aims to identify aspec...
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Learning-Based Vulnerability Analysis of Cyber-Physical Systems
This work focuses on the use of deep learning for vulnerability analysis...
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The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests
Random Forests (RF) are at the cutting edge of supervised machine learni...
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Demystifying Code Summarization Models
The last decade has witnessed a rapid advance in machine learning models...
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Learning Optimal Strategies for Temporal Tasks in Stochastic Games
Linear temporal logic (LTL) is widely used to formally specify complex t...
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Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G
With the incoming 5G network, the ubiquitous Internet of Things (IoT) de...
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Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities
Convolutional neural networks (CNNs) are vulnerable to adversarial examp...
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aw_nas: A Modularized and Extensible NAS framework
Neural Architecture Search (NAS) has received extensive attention due to...
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BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Binary Neural Networks (BNNs) have received significant attention due to...
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Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Learning depth and ego-motion from unlabeled videos via self-supervision...
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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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Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning
We consider the problem of security-aware planning in an unknown stochas...
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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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State sharding model on the blockchain
Blockchain is an incrementally updated ledger maintained by distributed ...
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Face Hallucination Using Split-Attention in Split-Attention Network
Face hallucination is a domain-specific super-resolution (SR), that gene...
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How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Task-agnostic forms of data augmentation have proven widely effective in...
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Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives
We study the problem of synthesizing control strategies for Linear Tempo...
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Joint Contrastive Learning with Infinite Possibilities
This paper explores useful modifications of the recent development in co...
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TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment
This paper presents an optimization-based collision avoidance trajectory...
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DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
This paper presents a free space trajectory optimization algorithm of au...
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A Survey of FPGA-Based Robotic Computing
Recent researches on robotics have shown significant improvement, spanni...
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DualLip: A System for Joint Lip Reading and Generation
Lip reading aims to recognize text from talking lip, while lip generatio...
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SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context
We present SONYC-UST-V2, a dataset for urban sound tagging with spatiote...
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Shift Equivariance in Object Detection
Robustness to small image translations is a highly desirable property fo...
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A Surgery of the Neural Architecture Evaluators
Neural architecture search (NAS) recently received extensive attention d...
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Few-Shot Drum Transcription in Polyphonic Music
Data-driven approaches to automatic drum transcription (ADT) are often l...
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Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
In this paper, we tackle the issue of physical adversarial examples for ...
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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
We present a new loss function called Distribution-Balanced Loss for the...
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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Deep neural networks are highly effective when a large number of labeled...
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ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Computational biology and bioinformatics provide vast data gold-mines fr...
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Context-Aware Temporal Logic for Probabilistic Systems
In this paper, we introduce the context-aware probabilistic temporal log...
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GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Graph Neural Networks (GNNs) have achieved significant improvements in v...
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Monitoring Depression Trend on Twitter during the COVID-19 Pandemic
The COVID-19 pandemic has severely affected people's daily lives and cau...
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2nd Place Solution for Waymo Open Dataset Challenge – 2D Object Detection
A practical autonomous driving system urges the need to reliably and acc...
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1st Place Solutions for Waymo Open Dataset Challenges – 2D and 3D Tracking
This technical report presents the online and real-time 2D and 3D multi-...
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1st Place Solution for Waymo Open Dataset Challenge – 3D Detection and Domain Adaptation
In this technical report, we introduce our winning solution "HorizonLiDA...
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AFDet: Anchor Free One Stage 3D Object Detection
High-efficiency point cloud 3D object detection operated on embedded sys...
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Learning a Unified Sample Weighting Network for Object Detection
Region sampling or weighting is significantly important to the success o...
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Deep Learning for Stable Monotone Dynamical Systems
Monotone systems, originating from real-world (e.g., biological or chemi...
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