Papers
Mon 22 Mar 2021
178 papers
- Online Baum-Welch algorithm for Hierarchical Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving ScenariosEnd-to-end autonomous driving → Cooperative and V2X driving
- Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of PessimismOffline RL and imitation learning from data → Offline RL algorithms
- Feature Selection for Imbalanced Data with Deep Sparse Autoencoders EnsembleMechanistic interpretability → Sparse autoencoder training and evaluation
- Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead
- Domain Specific Concept Drift Detectors for Predicting Financial Time Series
- A Novel Methodology For Crowdsourcing AI Models in an Enterprise
- Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
- Fast Approximate Spectral Normalization for Robust Deep Neural Networks
- Dynamic Weighted Learning for Unsupervised Domain Adaptation
- RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
- Power Modeling for Effective Datacenter Planning and Compute Management
- Deep Learning for Exotic Option Valuation
- Instance-level Image Retrieval using Reranking Transformers
- Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization
- Efficient sign language recognition system and dataset creation method based on deep learning and image processing
- Channel Scaling: A Scale-and-Select Approach for Transfer Learning
- Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes
- ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning
- Temporal Feature Networks for CNN based Object Detection
- CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
- Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
- Human-like Controllable Image Captioning with Verb-specific Semantic Roles
- Improved Detection of Face Presentation Attacks Using Image Decomposition
- Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
- Partitioned hybrid learning of Bayesian network structures
- Energy Disaggregation using Variational Autoencoders
- Adversarial Feature Augmentation and Normalization for Visual Recognition
- Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
- 3D Reconstruction and Alignment by Consumer RGB-D Sensors and Fiducial Planar Markers for Patient Positioning in Radiation Therapy
- Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
- Tiny Transformers for Environmental Sound Classification at the Edge
- Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
- Edge Intelligence for Empowering IoT-based Healthcare Systems
- Combining Reward Information from Multiple Sources
- Performance Bounds for Neural Network Estimators: Applications in Fault Detection
- End-to-End Trainable Multi-Instance Pose Estimation with Transformers
- Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
- A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
- Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors
- Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
- Selective information exchange in collaborative clustering using regularized Optimal Transport
- Exemplars can Reciprocate Principal Components
- Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
- An Experimental Review on Deep Learning Architectures for Time Series Forecasting
- SSD: A Unified Framework for Self-Supervised Outlier Detection
- Extracting the Unknown from Long Math Problems
- Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
- LaneAF: Robust Multi-Lane Detection with Affinity Fields
- Tangent Space Backpropagation for 3D Transformation Groups
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
- Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)
- Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
- Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey
- Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature
- Open Domain Question Answering over Tables via Dense Retrieval
- Federated Quantum Machine Learning
- On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
- Self-paced ensemble learning for speech and audio classification
- Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
- The Implications of the No-Free-Lunch Theorems for Meta-induction
- Improving and Simplifying Pattern Exploiting Training
- Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
- Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
- Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
- BERT: A Review of Applications in Natural Language Processing and Understanding
- Regularized Optimal Transport for Dynamic Semi-supervised Learning
- PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
- Enhanced Principal Component Analysis under A Collaborative-Robust Framework
- Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
- Prioritized Architecture Sampling with Monto-Carlo Tree Search
- Nutri-bullets: Summarizing Health Studies by Composing Segments
- Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
- Machine Learning Emulation of 3D Cloud Radiative Effects
- Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing
- Identifying Machine-Paraphrased Plagiarism
- Context-Aware Layout to Image Generation with Enhanced Object Appearance
- Deep learning on fundus images detects glaucoma beyond the optic disc
- Weakly Supervised Recovery of Semantic Attributes
- Deconvolution-and-convolution Networks
- DeepViT: Towards Deeper Vision Transformer
- Regularized Softmax Deep Multi-Agent Q-Learning
- Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery
- Real-time End-to-End Federated Learning: An Automotive Case Study
- BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
- A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning
- Robust Orthogonal Machine Learning of Treatment Effects
- #LaCulturaNonsiFerma: Report on Use and Diffusion of #Hashtags from the Italian Cultural Institutions during the COVID-19 outbreak
- Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
- Online search of unknown terrains using a dynamical system-based path planning approach
- Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19
- Part of speech and gramset tagging algorithms for unknown words based on morphological dictionaries of the Veps and Karelian languages
- A Link between Coding Theory and Cross-Validation with Applications
- Detecting Racial Bias in Jury Selection
- Monitoring Covid-19 on social media using a novel triage and diagnosis approach
- Learning to Simulate on Sparse Trajectory Data
- Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
- Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
- AutoSpace: Neural Architecture Search with Less Human Interference
- Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
All 178
- Incorporating Convolution Designs into Visual Transformers
- MasakhaNER: Named Entity Recognition for African Languages
- Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
- Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
- Detection of fake news on CoViD-19 on Web Search Engines
- Forest Fire Clustering for Single-cell Sequencing with Iterative Label Propagation and Parallelized Monte Carlo Simulation
- DeepOPF-V: Solving AC-OPF Problems Efficiently
- Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
- Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
- Measuring and modeling the motor system with machine learning
- AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
- Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
- Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
- Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion
- Handling Missing Observations with an RNN-based Prediction-Update Cycle
- Evolving Continuous Optimisers from Scratch
- Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
- Learning physical properties of anomalous random walks using graph neural networks
- Automatic Pulmonary Artery-Vein Separation in CT Images using Twin-Pipe Network and Topology Reconstruction
- Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
- A New Efficient Numbering System : Application to Numbers Generation and Visual Markers Design
- SuSketch: Surrogate Models of Gameplay as a Design Assistant
- TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
- Retinal-inspired Filtering for Dynamic Image Coding
- Transforming Exploratory Creativity with DeLeNoX
- Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
- Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles
- n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization
- Model-based 3D Hand Reconstruction via Self-Supervised Learning
- Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
- Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
- Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models
- IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
- Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
- Unsupervised Two-Stage Anomaly Detection
- Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
- Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
- Polarization Guided Specular Reflection Separation
- Evaluating glioma growth predictions as a forward ranking problem
- D3p -- A Python Package for Differentially-Private Probabilistic Programming
- Prototypical Representation Learning for Relation Extraction
- AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
- Complementary Evidence Identification in Open-Domain Question Answering
- A Batch Normalization Classifier for Domain Adaptation
- Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss
- Multimodal Motion Prediction with Stacked Transformers
- Progressive and Aligned Pose Attention Transfer for Person Image Generation
- Server Averaging for Federated Learning
- Anchor-Free Person Search
- A Survey on Image Aesthetic Assessment
- ast2vec: Utilizing Recursive Neural Encodings of Python Programs
- Variational quantum compiling with double Q-learning
- Alleviate Exposure Bias in Sequence Prediction with Recurrent Neural Networks
- PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
- Project-Level Encoding for Neural Source Code Summarization of Subroutines
- Adaptive Degradation Process with Deep Learning-Driven Trajectory
- Human De-occlusion: Invisible Perception and Recovery for Humans
- Monolingual and Parallel Corpora for Kangri Low Resource Language
- Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
- Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
- Adversarially Optimized Mixup for Robust Classification
- Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
- Brain Image Synthesis with Unsupervised Multivariate Canonical CSCℓ4Net
- Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries
- SparseGAN: Sparse Generative Adversarial Network for Text Generation
- Grey-box Adversarial Attack And Defence For Sentiment Classification
- Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
- Neural Lumigraph Rendering
- Cluster Contrast for Unsupervised Person Re-Identification
- RadarLoc: Learning to Relocalize in FMCW Radar
- Provably Correct Optimization and Exploration with Non-linear Policies
- Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel
- Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
- ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
- Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks
- How to Design Sample and Computationally Efficient VQA Models
- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
- ExAD: An Ensemble Approach for Explanation-based Adversarial Detection