Papers
Sat 9 Apr 2022
78 papers
- Improve Generalization of Driving Policy at Signalized Intersections with Adversarial LearningEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
- Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
- Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments
- An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
- Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
- Multimodal Transformer for Nursing Activity Recognition
- Gradient-Based Trajectory Optimization With Learned Dynamics
- Adaptive search area for fast motion estimation
- Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
- Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning
- Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture
- KOBEST: Korean Balanced Evaluation of Significant Tasks
- Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
- Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains
- Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
- Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks
- Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
- Attention U-Net as a surrogate model for groundwater prediction
- Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology
- Applying machine learning to predict behavior of bus transport in Warsaw, Poland
- On the Exploitation of Deepfake Model Recognition
- Non-asymptotic spectral bounds on the varepsilon-entropy of kernel classes
- FuNNscope: Visual microscope for interactively exploring the loss landscape of fully connected neural networks
- Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
- MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
- TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization
- Explain yourself! Effects of Explanations in Human-Robot Interaction
- IDPG: An Instance-Dependent Prompt Generation Method
- DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
- S4OD: Semi-Supervised learning for Single-Stage Object Detection
- Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language
- Why did I fail? A Causal-based Method to Find Explanations for Robot Failures
- KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
- FoundationLayerNorm: Scaling BERT and GPT to 1,000 Layers
- High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
- Ultrasound Signal Processing: From Models to Deep Learning
- A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification
- Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification
- Refining time-space traffic diagrams: A simple multiple linear regression model
- Noise-based Enhancement for Foveated Rendering
- Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
- Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
- Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
- Modeling Multi-Granularity Hierarchical Features for Relation Extraction
- HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance
- ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
- Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning
- Unbiased Directed Object Attention Graph for Object Navigation
- Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing
- Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach
- E^2TAD: An Energy-Efficient Tracking-based Action Detector
- PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
- Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback
- Contrastive Demonstration Tuning for Pre-trained Language Models
- MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
- Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks
- Dual-Stage Approach Toward Hyperspectral Image Super-Resolution
- Divergence-aware Federated Self-Supervised Learning
- The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
- Federated Unsupervised Domain Adaptation for Face Recognition
- A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study
- Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape
- Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction
- Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method
- A Siren Song of Open Source Reproducibility
- Application of machine learning for predicting the spread of COVID-19
- Attention guided global enhancement and local refinement network for semantic segmentation
- Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
- Data Augmentation for Electrocardiograms
- Segmenting across places: The need for fair transfer learning with satellite imagery
- Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter
- Hardware Trojan Insertion Using Reinforcement Learning
- Neuronal diversity can improve machine learning for physics and beyond
- On the Importance of Karaka Framework in Multi-modal Grounding
- Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
- Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads
- Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction