Papers
Tue 13 Jul 2021
150 papers
- Pessimistic Model-based Offline Reinforcement Learning under Partial CoverageOffline RL and imitation learning from data → Offline RL algorithms
- A Hierarchical Bayesian model for Inverse RL in Partially-Controlled EnvironmentsOffline RL and imitation learning from data → Inverse reinforcement learning
- Safety and progress proofs for a reactive planner and controller for autonomous drivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Scene Text recognition with Full Normalization
- FairyTailor: A Multimodal Generative Framework for Storytelling
- Adversarial Motorial Prototype Framework for Open Set Recognition
- Corridor for new mobility Aachen-D"usseldorf: Methods and concepts of the research project ACCorD
- Semiparametric Latent Topic Modeling on Consumer-Generated Corpora
- Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review
- The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker
- A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens
- Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments
- Improved SAT models for NFA learning
- Thinkback: Task-SpecificOut-of-Distribution Detection
- For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
- TSCAN : Dialog Structure discovery using SCAN
- Tourbillon: a Physically Plausible Neural Architecture
- FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
- Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
- The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions
- Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
- Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
- SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
- Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
- How Much Can CLIP Benefit Vision-and-Language Tasks?
- Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
- Real-Time Pothole Detection Using Deep Learning
- Distributionally Robust Policy Learning via Adversarial Environment Generation
- BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
- Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning
- Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
- Contextual Games: Multi-Agent Learning with Side Information
- Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
- Inverse Contextual Bandits: Learning How Behavior Evolves over Time
- What do writing features tell us about AI papers?
- HDMapNet: An Online HD Map Construction and Evaluation Framework
- Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
- Per-Pixel Classification is Not All You Need for Semantic Segmentation
- Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
- Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms
- Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting
- CMT: Convolutional Neural Networks Meet Vision Transformers
- Learning Aesthetic Layouts via Visual Guidance
- Robust Learning of Optimal Auctions
- Object Tracking and Geo-localization from Street Images
- Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
- Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
- Fairness-aware Summarization for Justified Decision-Making
- Everybody Is Unique: Towards Unbiased Human Mesh Recovery
- Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation
- Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
- Towards Unsupervised Domain Generalization
- What classifiers know what they don't?
- 'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
- Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
- Learning a Discriminant Latent Space with Neural Discriminant Analysis
- Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
- ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students
- Generative Adversarial Learning via Kernel Density Discrimination
- No Regrets for Learning the Prior in Bandits
- Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
- Deep Ranking with Adaptive Margin Triplet Loss
- 3D Parametric Wireframe Extraction Based on Distance Fields
- Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors
- The IWSLT 2021 BUT Speech Translation Systems
- Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
- MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
- Deep learning approaches to Earth Observation change detection
- Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
- Bidirectional Regression for Arbitrary-Shaped Text Detection
- MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
- A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
- On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques
- Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
- Fast-Slow Streamflow Model Using Mass-Conserving LSTM
- Indian Legal NLP Benchmarks : A Survey
- On the Difficulty of Translating Free-Order Case-Marking Languages
- Parallelisable Existential Rules: a Story of Pieces
- Rating Facts under Coarse-to-fine Regimes
- Force-in-domain GAN inversion
- A Graph Data Augmentation Strategy with Entropy Preservation
- AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
- Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach
- Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
- A Deep Generative Artificial Intelligence system to decipher species coexistence patterns
- This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
- A Classification of Artificial Intelligence Systems for Mathematics Education
- Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines
- Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
- Zero-shot Speech Translation
- Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
- Parameter selection in Gaussian process interpolation: an empirical study of selection criteria
- Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
- Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
- Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks
- Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
- Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
- Generating Gender Augmented Data for NLP
- Deep Autoregressive Models with Spectral Attention
All 150
- DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
- Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation
- Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things
- Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
- HAT: Hierarchical Aggregation Transformers for Person Re-identification
- CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
- The Piano Inpainting Application
- A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
- Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
- Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
- Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift
- Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
- Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
- Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
- Model Transferability With Responsive Decision Subjects
- Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
- Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
- Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
- Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
- Automatic Seizure Detection Using the Pulse Transit Time
- PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
- ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
- Exploiting Network Structures to Improve Semantic Representation for the Financial Domain
- Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
- GA and ILS for optimizing the size of NFA models
- A Configurable Multilingual Model is All You Need to Recognize All Languages
- Applications of knowledge graphs for food science and industry
- A Dialogue-based Information Extraction System for Medical Insurance Assessment
- eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
- Automated Learning Rate Scheduler for Large-batch Training
- Encoding Compositionality in Classical Planning Solutions
- Model Selection for Generic Reinforcement Learning
- Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
- Motion Planning by Learning the Solution Manifold in Trajectory Optimization
- NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
- Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
- Enforcing Consistency in Weakly Supervised Semantic Parsing
- ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
- Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
- Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
- Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
- Multitask Identity-Aware Image Steganography via Minimax Optimization
- AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
- How many degrees of freedom do we need to train deep networks: a loss landscape perspective
- Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization
- Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
- Visual Parser: Representing Part-whole Hierarchies with Transformers
- Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
- Data-Driven Low-Rank Neural Network Compression
- Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity