Papers
Sun 9 May 2021
86 papers
- NMPC trajectory planner for urban autonomous drivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Trajectory Prediction for Autonomous Driving with Topometric MapEnd-to-end autonomous driving → End-to-end system architecture
- Learning Image Attacks toward Vision Guided Autonomous VehiclesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- On the Explanation of Similarity for Developing and Deploying CBR Systems
- Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling
- Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
- A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
- The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example
- Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
- English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System
- Aggregating From Multiple Target-Shifted Sources
- Analyzing Online Political Advertisements
- A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
- Swarm Differential Privacy for Purpose Driven Data-Information-Knowledge-Wisdom Architecture
- Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
- Graph Attention Networks with Positional Embeddings
- A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
- Improving Multi-agent Coordination by Learning to Estimate Contention
- The Modern Mathematics of Deep Learning
- DocSCAN: Unsupervised Text Classification via Learning from Neighbors
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
- End-to-End Optical Character Recognition for Bengali Handwritten Words
- Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
- DiagSet: a dataset for prostate cancer histopathological image classification
- RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
- Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
- Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
- Bayesian Kernelised Test of (In)dependence with Mixed-type Variables
- Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks
- Dispatcher: A Message-Passing Approach To Language Modelling
- Advising Agent for Service-Providing Live-Chat Operators
- Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
- Improving Patent Mining and Relevance Classification using Transformers
- Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space
- Stochastic Multi-Armed Bandits with Control Variates
- Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition
- Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
- High-performance symbolic-numerics via multiple dispatch
- gComm: An environment for investigating generalization in Grounded Language Acquisition
- Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback
- Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution
- Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture
- Automated Decision-based Adversarial Attacks
- Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
- CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
- Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
- TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
- Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
- Learning Gradient Fields for Molecular Conformation Generation
- Binarized Weight Error Networks With a Transition Regularization Term
- Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
- Conformer: Local Features Coupling Global Representations for Visual Recognition
- Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents
- Directional Convergence Analysis under Spherically Symmetric Distribution
- Selective Probabilistic Classifier Based on Hypothesis Testing
- Bounding Information Leakage in Machine Learning
- Non-Recursive Graph Convolutional Networks
- Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
- Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics
- Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels
- GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers
- Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
- Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
- Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network
- Reinforcement Learning with Expert Trajectory For Quantitative Trading
- FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
- The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
- HyperHyperNetworks for the Design of Antenna Arrays
- Segmenting Hybrid Trajectories using Latent ODEs
- Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting
- Super Solutions of the Model RB
- Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
- Good Practices and A Strong Baseline for Traffic Anomaly Detection
- A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning
- FNet: Mixing Tokens with Fourier Transforms
- RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
- Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding
- Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
- Heterogeneous Risk Minimization
- TrTr: Visual Tracking with Transformer
- Knowledge-based Review Generation by Coherence Enhanced Text Planning
- Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
- Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
- The Local Approach to Causal Inference under Network Interference
- Estimation of 3D Human Pose Using Prior Knowledge
- Slash or burn: Power line and vegetation classification for wildfire prevention