Papers
Sun 21 Nov 2021
62 papers
- Offline Reinforcement Learning: Fundamental Barriers for Value Function ApproximationOffline RL and imitation learning from data → Offline RL algorithms
- Fake News Detection Tools and Methods -- A Review
- Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model
- Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification
- Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation
- Dynamic Analysis of Nonlinear Civil Engineering Structures using Artificial Neural Network with Adaptive Training
- Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception
- Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
- Video Content Swapping Using GAN
- Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics
- Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
- Health Monitoring of Industrial machines using Scene-Aware Threshold Selection
- Surprise Minimization Revision Operators
- Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP
- Active Restoration of Lost Audio Signals Using Machine Learning and Latent Information
- Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning
- Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)
- Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video
- A Software Tool for Evaluating Unmanned Autonomous Systems
- CpT: Convolutional Point Transformer for 3D Point Cloud Processing
- Bilevel learning of l1-regularizers with closed-form gradients(BLORC)
- Accretionary Learning with Deep Neural Networks
- XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
- Decorrelated Variable Importance
- Diffusion Tensor Estimation with Uncertainty Calibration
- Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora
- A hybrid optimization approach for employee rostering: Use cases at Swissgrid and lessons learned
- Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
- Automated Controller Calibration by Kalman Filtering
- Learning by Active Forgetting for Neural Networks
- Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
- Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine
- Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
- A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
- Structure-Preserving Graph Kernel for Brain Network Classification
- FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
- HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
- DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
- Differentiable Projection for Constrained Deep Learning
- FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
- Federated Social Recommendation with Graph Neural Network
- A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features
- One-shot Weakly-Supervised Segmentation in Medical Images
- Network representation learning: A macro and micro view
- Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism
- Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation
- Decentralized Unsupervised Learning of Visual Representations
- COVID-19 Detection through Deep Feature Extraction
- Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
- TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning
- Generalized Inversion of Nonlinear Operators
- Local Linearity and Double Descent in Catastrophic Overfitting
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
- More Romanian word embeddings from the RETEROM project
- MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation
- Capitalization and Punctuation Restoration: a Survey
- 3D Visual Tracking Framework with Deep Learning for Asteroid Exploration
- Deep Probability Estimation
- End-to-end Learning for Fair Ranking Systems
- A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
- PAC-Learning Uniform Ergodic Communicative Networks
- Self-Supervised Point Cloud Completion via Inpainting