Papers
Sun 7 Nov 2021
74 papers
- FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
- Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
- High-order joint embedding for multi-level link prediction
- A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring
- Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
- Speaker Generation
- Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling
- Survey of Deep Learning Methods for Inverse Problems
- Emotional Prosody Control for Speech Generation
- Natural Adversarial Objects
- TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
- Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
- Machine-in-the-Loop Rewriting for Creative Image Captioning
- VizAI : Selecting Accurate Visualizations of Numerical Data
- CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier
- Towards convergence to Nash equilibria in two-team zero-sum games
- On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?
- A Word on Machine Ethics: A Response to Jiang et al. (2021)
- Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
- Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
- Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
- Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
- Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines
- NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
- Global-Local Attention for Emotion Recognition
- NeurInt : Learning to Interpolate through Neural ODEs
- Automatic Goal Generation using Dynamical Distance Learning
- MetaMIML: Meta Multi-Instance Multi-Label Learning
- Structure-aware generation of drug-like molecules
- DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
- Uncertainty Calibration for Ensemble-Based Debiasing Methods
- Hierarchical Segment-based Optimization for SLAM
- Developing neural machine translation models for Hungarian-English
- Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM
- Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
- Acquisition-invariant brain MRI segmentation with informative uncertainties
- Consistency and Consensus Driven for Hesitant Fuzzy Linguistic Decision Making with Pairwise Comparisons
- Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
- Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
- Meta Cross-Modal Hashing on Long-Tailed Data
- Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus
- Cross-modal Zero-shot Hashing by Label Attributes Embedding
- Variance-Aware Machine Translation Test Sets
- Direct Multi-view Multi-person 3D Pose Estimation
- Open-Set Crowdsourcing using Multiple-Source Transfer Learning
- DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
- Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
- Crowdsourcing with Meta-Workers: A New Way to Save the Budget
- High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
- Can viewer proximity be a behavioural marker for Autism Spectrum Disorder?
- Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
- Registration Techniques for Deformable Objects
- How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
- Coordinated Proximal Policy Optimization
- Information Extraction from Visually Rich Documents with Font Style Embeddings
- Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
- Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees
- Style Transfer with Target Feature Palette and Attention Coloring
- SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
- MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
- Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
- Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
- A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
- A Review of Location Encoding for GeoAI: Methods and Applications
- Exponential escape efficiency of SGD from sharp minima in non-stationary regime
- Predictive Model for Gross Community Production Rate of Coral Reefs using Ensemble Learning Methodologies
- The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
- Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach
- NarrationBot and InfoBot: A Hybrid System for Automated Video Description
- Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
- V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
- Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors
- Proposing an Interactive Audit Pipeline for Visual Privacy Research
- CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals