Papers
Sat 20 Mar 2021
64 papers
- Explaining decisions made with AI: A workbook (Use case 1: AI-assisted recruitment tool)
- Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?
- Pathological Image Segmentation with Noisy Labels
- Data-driven Aerodynamic Analysis of Structures using Gaussian Processes
- MetaHDR: Model-Agnostic Meta-Learning for HDR Image Reconstruction
- Bayesian Distributional Policy Gradients
- Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
- Self-Supervised Test-Time Learning for Reading Comprehension
- Robust Models Are More Interpretable Because Attributions Look Normal
- Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
- SELM: Software Engineering of Machine Learning Models
- Attention-Based Multimodal Image Matching
- Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
- Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines
- Markov Modeling of Time-Series Data using Symbolic Analysis
- Demystifying the Effects of Non-Independence in Federated Learning
- Spatio-Temporal Data Mining for Aviation Delay Prediction
- Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR
- Preprocessing power weighted shortest path data using a s-Well Separated Pair Decomposition
- Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development
- Multi Camera Placement via Z-buffer Rendering for the Optimization of the Coverage and the Visual Hull
- Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement
- Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
- Efficient Spatialtemporal Context Modeling for Action Recognition
- The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
- 3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model
- Adaptive deep density approximation for Fokker-Planck equations
- A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
- NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
- Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
- Learning Continuous Cost-to-Go Functions for Non-holonomic Systems
- Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
- An Empirical Framework for Domain Generalization in Clinical Settings
- MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
- Recognizing Predictive Substructures with Subgraph Information Bottleneck
- Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
- The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues
- Predictive Maintenance -- Bridging Artificial Intelligence and IoT
- Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training
- Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
- MogFace: Towards a Deeper Appreciation on Face Detection
- High Resolution Face Editing with Masked GAN Latent Code Optimization
- Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
- A novel multimodal fusion network based on a joint coding model for lane line segmentation
- Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!
- A Novel Upsampling and Context Convolution for Image Semantic Segmentation
- DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
- On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling
- Projection-free Distributed Online Learning with Sublinear Communication Complexity
- Local Patch AutoAugment with Multi-Agent Collaboration
- Exploring The Effect of High-frequency Components in GANs Training
- Dependency Graph-to-String Statistical Machine Translation
- Token-wise Curriculum Learning for Neural Machine Translation
- 3DMNDT:3D multi-view registration method based on the normal distributions transform
- Compacting Deep Neural Networks for Internet of Things: Methods and Applications
- AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
- UAV Communications for Sustainable Federated Learning
- Local Interpretations for Explainable Natural Language Processing: A Survey
- Stereo CenterNet based 3D Object Detection for Autonomous Driving
- Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
- Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
- Visualization of Deep Transfer Learning In SAR Imagery
- Automatic Quantification of Facial Asymmetry using Facial Landmarks