Papers
Sat 1 May 2021
77 papers
- Hidden Backdoors in Human-Centric Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-NetworkEnd-to-end autonomous driving → Reinforcement learning for driving
- Exploiting Transductive Property of Graph Convolutional Neural Networks with Less Labeling Effort
- Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors
- A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring
- Person Search Challenges and Solutions: A Survey
- Optimizing Area Under the Curve Measures via Matrix Factorization for Predicting Drug-Target Interaction with Multiple Similarities
- RotLSTM: Rotating Memories in Recurrent Neural Networks
- Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
- Lattice Paths for Persistent Diagrams
- Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
- Stochastic Block-ADMM for Training Deep Networks
- Comprehensive Review On Twin Support Vector Machines
- Audio Transformers
- Privacy and Integrity Preserving Training Using Trusted Hardware
- AI-enabled Efficient and Safe Food Supply Chain
- When to Fold'em: How to answer Unanswerable questions
- Neko: a Library for Exploring Neuromorphic Learning Rules
- Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
- Online Fashion Commerce: Modelling Customer Promise Date
- Waypoint Planning Networks
- MARL: Multimodal Attentional Representation Learning for Disease Prediction
- PREDICT: Persian Reverse Dictionary
- SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
- RATT: Leveraging Unlabeled Data to Guarantee Generalization
- Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks
- A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts
- Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning
- A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate
- Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
- Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics (Extended Version)
- Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network
- Lite-FPN for Keypoint-based Monocular 3D Object Detection
- Combating small molecule aggregation with machine learning
- Data-driven discovery of Green's functions with human-understandable deep learning
- One-pass Stochastic Gradient Descent in Overparametrized Two-layer Neural Networks
- DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
- It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system
- COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
- Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation
- A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification
- Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
- Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles
- l1-Norm Minimization with Regula Falsi Type Root Finding Methods
- FedProto: Federated Prototype Learning across Heterogeneous Clients
- Enhancing Fine-Grained Classification for Low Resolution Images
- Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning
- MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization
- JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
- Matrix completion based on Gaussian parameterized belief propagation
- On the Adversarial Robustness of Quantized Neural Networks
- Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion
- Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics
- Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling
- Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
- One-shot learning for acoustic identification of bird species in non-stationary environments
- A Framework for Automatic Monitoring of Norms that regulate Time Constrained Actions
- Lane Graph Estimation for Scene Understanding in Urban Driving
- Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN
- Deep Insights of Deepfake Technology : A Review
- Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks
- One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
- Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
- Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers
- AlloST: Low-resource Speech Translation without Source Transcription
- Generative Art Using Neural Visual Grammars and Dual Encoders
- Equivalence of Correlation Filter and Convolution Filter in Visual Tracking
- A Deep Learning Framework for Lifelong Machine Learning
- Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser
- SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
- Deep Convolution for Irregularly Sampled Temporal Point Clouds
- Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
- Semi-supervised Long-tailed Recognition using Alternate Sampling
- GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
- Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
- Sparse Pose Trajectory Completion
- NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion