Papers
Fri 3 Sep 2021
111 papers
- Iterative Imitation Policy Improvement for Interactive Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System
- U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow
- Predicting Process Name from Network Data
- PEEK: A Large Dataset of Learner Engagement with Educational Videos
- Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
- Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis
- ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification
- Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
- Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
- CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
- A realistic approach to generate masked faces applied on two novel masked face recognition data sets
- Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method
- F3S: Free Flow Fever Screening
- Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals
- Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction
- Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks
- Will bots take over the supply chain? Revisiting Agent-based supply chain automation
- Revisiting 3D ResNets for Video Recognition
- Weakly Supervised Few-Shot Segmentation Via Meta-Learning
- ALLWAS: Active Learning on Language models in WASserstein space
- High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
- Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes
- How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?
- Hierarchical 3D Feature Learning for Pancreas Segmentation
- Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
- Global-Local Transformer for Brain Age Estimation
- Multi-agent Natural Actor-critic Reinforcement Learning Algorithms
- CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
- Finetuned Language Models Are Zero-Shot Learners
- Wildfire smoke plume segmentation using geostationary satellite imagery
- Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
- AI Descartes: Combining Data and Theory for Derivable Scientific Discovery
- Cross-Lingual Training with Dense Retrieval for Document Retrieval
- Stochastic Physics-Informed Neural Ordinary Differential Equations
- Representing Shape Collections with Alignment-Aware Linear Models
- Neural Human Deformation Transfer
- 3D Human Shape Style Transfer
- Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
- Continuous-Time Behavior Trees as Discontinuous Dynamical Systems
- Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks
- Deep Metric Learning for Ground Images
- Ordinal Pooling
- Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification
- Model-Based Parameter Optimization for Ground Texture Based Localization Methods
- Learning Neural Models for Natural Language Processing in the Face of Distributional Shift
- Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
- Situated Conditional Reasoning
- Large-Scale Learning with Fourier Features and Tensor Decompositions
- Ontology-driven Knowledge Graph for Android Malware
- Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique
- A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
- UnDeepLIO: Unsupervised Deep Lidar-Inertial Odometry
- LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
- Biomedical Data-to-Text Generation via Fine-Tuning Transformers
- A brief history of AI: how to prevent another winter (a critical review)
- Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
- Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
- Ghost Loss to Question the Reliability of Training Data
- Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
- LG4AV: Combining Language Models and Graph Neural Networks for Author Verification
- Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations
- Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry
- Impact of GPU uncertainty on the training of predictive deep neural networks
- Is Machine Learning Ready for Traffic Engineering Optimization?
- The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies
- Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
- Novel split quality measures for stratified multilabel Cross Validation with application to large and sparse gene ontology datasets
- Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms
- Event-Based Communication in Distributed Q-Learning
- Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles
- An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining
- Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks
- An efficient plasma-surface interaction surrogate model for sputtering processes based on autoencoder neural networks
- Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
- CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
- Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
- Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT
- Topographic VAEs learn Equivariant Capsules
- Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning
- A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
- Deep Learning for Fitness
- Sample Noise Impact on Active Learning
- Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
- CAM-loss: Towards Learning Spatially Discriminative Feature Representations
- Edge-featured Graph Neural Architecture Search
- MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
- Spatially varying white balancing for mixed and non-uniform illuminants
- Dual-Camera Super-Resolution with Aligned Attention Modules
- Ground-Assisted Federated Learning in LEO Satellite Constellations
- Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models
- Detecting Speaker Personas from Conversational Texts
- Statistical Estimation and Inference via Local SGD in Federated Learning
- Indexing Context-Sensitive Reachability
- Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models
- Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
- Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging
- J-Score: A Robust Measure of Clustering Accuracy
- Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
- Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images
All 111
- Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
- How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
- Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
- An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition
- LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
- Symbol Emergence and The Solutions to Any Task
- A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
- A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection
- On the Accuracy of Analog Neural Network Inference Accelerators
- Estimating Demand Flexibility Using Siamese LSTM Neural Networks
- Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach