Papers
Mon 17 May 2021
164 papers
- Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active PerceptionEnd-to-end autonomous driving → End-to-end system architecture
- Uncertainty Weighted Actor-Critic for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- RL-GRIT: Reinforcement Learning for Grammar Inference
- Novel ANN method for solving ordinary and fractional Black-Scholes equation
- Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
- Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
- Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
- Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
- Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
- A Clustering Framework for Residential Electric Demand Profiles
- Synthesising Multi-Modal Minority Samples for Tabular Data
- Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
- Physically Plausible Pose Refinement using Fully Differentiable Forces
- Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
- Visual FUDGE: Form Understanding via Dynamic Graph Editing
- Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
- SHARE: a System for Hierarchical Assistive Recipe Editing
- Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems
- Learning Disentangled Representations for Time Series
- Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
- Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
- Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
- Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
- The Confluence of Networks, Games and Learning
- Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
- Modeling the EdNet Dataset with Logistic Regression
- Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
- COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs
- MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
- VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
- PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
- Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
- Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection
- Livewired Neural Networks: Making Neurons That Fire Together Wire Together
- Multi-Modal Image Captioning for the Visually Impaired
- An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
- Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
- Multiclass Classification using dilute bandit feedback
- A Measure of Research Taste
- Neural Error Mitigation of Near-Term Quantum Simulations
- Divide and Contrast: Self-supervised Learning from Uncurated Data
- Algorithm-Agnostic Explainability for Unsupervised Clustering
- The Boombox: Visual Reconstruction from Acoustic Vibrations
- A Light Stage on Every Desk
- Pay Attention to MLPs
- SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services
- Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
- Fine-grained Interpretation and Causation Analysis in Deep NLP Models
- Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation
- Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
- Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
- Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
- Stage-wise Fine-tuning for Graph-to-Text Generation
- StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
- What makes you unique?
- Supporting Context Monotonicity Abstractions in Neural NLI Models
- Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
- Learning a Latent Simplex in Input-Sparsity Time
- Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial
- Learning User Embeddings from Temporal Social Media Data: A Survey
- Learning to Automatically Catch Potholes in Worldwide Road Scene Images
- Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
- Unknown-box Approximation to Improve Optical Character Recognition Performance
- Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
- DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
- Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
- Behavior-based Neuroevolutionary Training in Reinforcement Learning
- Choice Set Confounding in Discrete Choice
- Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers
- TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
- Mean Field Games Flock! The Reinforcement Learning Way
- Ensemble-based Semi-supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving
- Towards Robust Vision Transformer
- BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
- CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
- Large-Scale Unsupervised Person Re-Identification with Contrastive Learning
- SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
- Application of Deep Self-Attention in Knowledge Tracing
- Factoring Statutory Reasoning as Language Understanding Challenges
- Multi-object Tracking with Tracked Object Bounding Box Association
- Sparse solutions of the kernel herding algorithm by improved gradient approximation
- Physics-informed attention-based neural network for solving non-linear partial differential equations
- HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
- A Review on Explainability in Multimodal Deep Neural Nets
- Fast and Accurate Camera Scene Detection on Smartphones
- How to Explain Neural Networks: an Approximation Perspective
- Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
- Compressed Communication for Distributed Training: Adaptive Methods and System
- TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data
- Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
- Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
- Towards Demystifying Serverless Machine Learning Training
- Designer-User Communication for XAI: An epistemological approach to discuss XAI design
- Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
- Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI
- STRIDE : Scene Text Recognition In-Device
- Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks
- DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification
- Be Causal: De-biasing Social Network Confounding in Recommendation
- Deep Learning Models in Software Requirements Engineering
All 164
- Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
- A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers
- Automated Biodesign Engineering by Abductive Meta-Interpretive Learning
- A Fusion-Denoising Attack on InstaHide with Data Augmentation
- Generic Itemset Mining Based on Reinforcement Learning
- Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
- HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
- Studying the association of online brand importance with museum visitors: An application of the semantic brand score
- Universal Regular Conditional Distributions
- Activation function design for deep networks: linearity and effective initialisation
- Knowledge State Networks for Effective Skill Assessment in Atomic Learning
- The State of Infodemic on Twitter
- Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
- Using social network and semantic analysis to analyze online travel forums and forecast tourism demand
- A CCG-Based Version of the DisCoCat Framework
- Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation
- Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
- Automatic Fake News Detection: Are Models Learning to Reason?
- Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
- Approximate Novelty Search
- OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
- Continual Learning with Echo State Networks
- EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
- Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
- Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression
- Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
- AudioVisual Video Summarization
- Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
- Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
- Dependency Parsing as MRC-based Span-Span Prediction
- Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks
- A Formal Framework for Reasoning about Agents' Independence in Self-organizing Multi-agent Systems
- FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
- Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation
- Collaborative Mapping of Archaeological Sites using multiple UAVs
- Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
- Class-Incremental Few-Shot Object Detection
- DOC3-Deep One Class Classification using Contradictions
- Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
- Improving Graph Neural Networks with Simple Architecture Design
- Convex optimization for actionable & plausible counterfactual explanations
- Shared and Private VAEs with Generative Replay for Continual Learning
- A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild
- TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
- Sentence Similarity Based on Contexts
- Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation
- Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks
- Differentially Private Federated Knowledge Graphs Embedding
- Cross-Cluster Weighted Forests
- Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
- EasyFL: A Low-code Federated Learning Platform For Dummies
- Disentangled Variational Information Bottleneck for Multiview Representation Learning
- Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
- Dermoscopic Image Classification with Neural Style Transfer
- RAIDER: Reinforcement-aided Spear Phishing Detector
- Vision Transformers are Robust Learners
- Monitoring electrical systems data-network equipment by means of Fuzzy and Paraconsistent Annotated Logic
- Rethinking "Batch" in BatchNorm
- Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes
- Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
- Power-grid stability predictions using transferable machine learning
- Layerwise Optimization by Gradient Decomposition for Continual Learning
- How Costly is Noise? Data and Disparities in Consumer Credit
- Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing