Papers
Wed 21 Apr 2021
160 papers
- Multi-task Learning with Attention for End-to-end Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Dataset Inference: Ownership Resolution in Machine LearningLLM safety and security → Membership inference attacks
- Tackling Variabilities in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
- Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems
- LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
- TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
- Automating Visual Blockage Classification of Culverts with Deep Learning
- Machine-Learning Assisted Optimization Strategies for Phase Change Materials Embedded within Electronic Packages
- Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function
- A Closer Look at Self-training for Zero-Label Semantic Segmentation
- Rapid Detection of Aircrafts in Satellite Imagery based on Deep Neural Networks
- Assessing Validity of Static Analysis Warnings using Ensemble Learning
- ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Adapting Long Context NLM for ASR Rescoring in Conversational Agents
- Online GANs for Automatic Performance Testing
- K"unstliche Intelligenz, quo vadis?
- Efficient Non-Sampling Knowledge Graph Embedding
- Extracting Adverse Drug Events from Clinical Notes
- Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
- The Road Less Travelled: Trying And Failing To Generate Walking Simulators
- Exploring 2D Data Augmentation for 3D Monocular Object Detection
- Accurate and fast matrix factorization for low-rank learning
- NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
- NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
- BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
- Meta-learning for skin cancer detection using Deep Learning Techniques
- MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
- Aedes-AI: Neural Network Models of Mosquito Abundance
- Skeleton Clustering: Dimension-Free Density-based Clustering
- Disfluency Detection with Unlabeled Data and Small BERT Models
- Rule Generation for Classification: Scalability, Interpretability, and Fairness
- Clustering Introductory Computer Science Exercises Using Topic Modeling Methods
- Accented Speech Recognition: A Survey
- Automatic model training under restrictive time constraints
- PocketNet: A Smaller Neural Network for Medical Image Analysis
- A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
- Robustness of ML-Enhanced IDS to Stealthy Adversaries
- AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization
- Robust Testing and Estimation under Manipulation Attacks
- Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series
- Low-Light Image and Video Enhancement Using Deep Learning: A Survey
- Deep limits and cut-off phenomena for neural networks
- Learning Fine-grained Fact-Article Correspondence in Legal Cases
- A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
- Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks
- Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
- Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
- Scaling of neural-network quantum states for time evolution
- Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
- User-oriented Fairness in Recommendation
- A geometric approach to conditioning belief functions
- Measuring what Really Matters: Optimizing Neural Networks for TinyML
- A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
- Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
- Robust Kernel-based Distribution Regression
- MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
- Searching to Sparsify Tensor Decomposition for N-ary Relational Data
- Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
- Recurrent Feedback Improves Recognition of Partially Occluded Objects
- FourierNets enable the design of highly non-local optical encoders for computational imaging
- Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
- Lifting Monocular Events to 3D Human Poses
- Statistical inference for generative adversarial networks and other minimax problems
- Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation
- IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
- Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
- Deep Learning for Click-Through Rate Estimation
- Towards Causal Models for Adversary Distractions
- GEAR: On Optimal Decision Making with Auxiliary Data
- GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
- SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
- Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
- Turning Federated Learning Systems Into Covert Channels
- Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
- MLDS: A Dataset for Weight-Space Analysis of Neural Networks
- Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
- Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study
- Invertible Denoising Network: A Light Solution for Real Noise Removal
- Lossless Compression with Latent Variable Models
- Guided Table Structure Recognition through Anchor Optimization
- Exploiting Learned Policies in Focal Search
- A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
- Stateless Neural Meta-Learning using Second-Order Gradients
- Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
- Improving BERT Pretraining with Syntactic Supervision
- Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
- How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
- Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
- Balanced Knowledge Distillation for Long-tailed Learning
- On Sampling-Based Training Criteria for Neural Language Modeling
- Interpretation of multi-label classification models using shapley values
- A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
- Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
- End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
- Skimming and Scanning for Untrimmed Video Action Recognition
- FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
- Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
- A Two-Stage Attentive Network for Single Image Super-Resolution
- SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data
All 160
- Camouflaged Object Segmentation with Distraction Mining
- Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
- Jacobian Regularization for Mitigating Universal Adversarial Perturbations
- Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
- Text Summarization of Czech News Articles Using Named Entities
- Brittle Features May Help Anomaly Detection
- Making Differentiable Architecture Search less local
- A Meta-Learning Approach for Medical Image Registration
- Fourier Contour Embedding for Arbitrary-Shaped Text Detection
- Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
- Portfolio Search and Optimization for General Strategy Game-Playing
- Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations
- Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
- Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
- PP-YOLOv2: A Practical Object Detector
- Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation
- Comprehensive Multi-Modal Interactions for Referring Image Segmentation
- Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
- On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
- Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
- Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
- Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
- Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
- Learning future terrorist targets through temporal meta-graphs
- Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
- End-to-end Speech Translation via Cross-modal Progressive Training
- Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
- Dual Head Adversarial Training
- Towards Corruption-Agnostic Robust Domain Adaptation
- PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
- Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
- Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables
- Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
- Revisiting Document Representations for Large-Scale Zero-Shot Learning
- Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
- Improving Weakly-supervised Object Localization via Causal Intervention
- Carbon Emissions and Large Neural Network Training
- Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
- A class of network models recoverable by spectral clustering
- Measuring economic activity from space: a case study using flying airplanes and COVID-19
- Improving Biomedical Pretrained Language Models with Knowledge
- Sensitivity as a Complexity Measure for Sequence Classification Tasks
- CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles
- Discriminative Self-training for Punctuation Prediction
- Shadow Generation for Composite Image in Real-world Scenes
- MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
- Automatic Double Machine Learning for Continuous Treatment Effects
- BADet: Boundary-Aware 3D Object Detection from Point Clouds
- Deep Transform and Metric Learning Networks
- Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers
- A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
- SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
- Gradient Masked Federated Optimization
- Evidential Cyber Threat Hunting
- Diverse and Specific Clarification Question Generation with Keywords
- Visual Analysis Motivated Rate-Distortion Model for Image Coding
- Efficient Sparse Coding using Hierarchical Riemannian Pursuit
- Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
- Soft Expectation and Deep Maximization for Image Feature Detection
- A windowed correlation based feature selection method to improve time series prediction of dengue fever cases