Papers
Sat 6 Mar 2021
76 papers
- SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Adaptive Multi-Teacher Multi-level Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental LearningKnowledge distillation → Distillation for continual learning
- Bilateral Control-Based Imitation Learning for Velocity-Controlled RobotOffline RL and imitation learning from data → Robot manipulation imitation learning
- JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection
- Entangled q-Convolutional Neural Nets
- Extracting Semantic Process Information from the Natural Language in Event Logs
- Prediction of Hydraulic Blockage at Cross Drainage Structures using Regression Analysis
- Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More
- LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management
- The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
- Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
- Utilising Flow Aggregation to Classify Benign Imitating Attacks
- Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy
- Consensus Maximisation Using Influences of Monotone Boolean Functions
- High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
- The Automatic Quasi-clique Merger algorithm (AQCM)
- Contextual Dropout: An Efficient Sample-Dependent Dropout Module
- Neural networks can understand compositional functions that humans do not, in the context of emergent communication
- End-to-end optimized image compression for multiple machine tasks
- Changing the Narrative Perspective: From Deictic to Anaphoric Point of View
- Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
- LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
- Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
- Molecular modeling with machine-learned universal potential functions
- Improving Zero-Shot Entity Retrieval through Effective Dense Representations
- Correlated Deep Q-learning based Microgrid Energy Management
- Signal Processing on the Permutahedron: Tight Spectral Frames for Ranked Data Analysis
- Simple online and real-time tracking with occlusion handling
- The Prevalence of Code Smells in Machine Learning projects
- Linear Regression over Networks with Communication Guarantees
- Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
- Learning Statistical Texture for Semantic Segmentation
- A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
- Learning to Generate 3D Shapes with Generative Cellular Automata
- Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
- A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies
- Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
- WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
- Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
- Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations
- Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
- Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
- Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment
- Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
- Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
- Learning to Continually Learn Rapidly from Few and Noisy Data
- Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering
- Low-Rank Isomap Algorithm
- A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
- NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
- Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show
- Reinforcement Learning, Bit by Bit
- Simplicial Complex Representation Learning
- Putting Humans in the Natural Language Processing Loop: A Survey
- ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
- Hidden Backdoor Attack against Semantic Segmentation Models
- Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision
- CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
- Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation
- Learning to Predict Vehicle Trajectories with Model-based Planning
- Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
- PISE: Person Image Synthesis and Editing with Decoupled GAN
- Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
- NeRD: Neural Representation of Distribution for Medical Image Segmentation
- Indoor Future Person Localization from an Egocentric Wearable Camera
- Dynamic Resource Management for Providing QoS in Drone Delivery Systems
- Over-the-Air Statistical Estimation
- Simultaneously Localize, Segment and Rank the Camouflaged Objects
- Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
- Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
- Memory-efficient Learning for High-Dimensional MRI Reconstruction
- Off-Belief Learning
- Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
- Passing Through Narrow Gaps with Deep Reinforcement Learning
- Selective Replay Enhances Learning in Online Continual Analogical Reasoning