Papers
Sat 11 Dec 2021
64 papers
- Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample EfficiencyOffline RL and imitation learning from data → Imitation learning methods
- Multimodal neural networks better explain multivoxel patterns in the hippocampus
- Page Segmentation using Visual Adjacency Analysis
- Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas
- Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors
- Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
- Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
- Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry
- Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement
- Branching Strategy Selection Approach Based on Vivification Ratio
- Confidence intervals for the random forest generalization error
- CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks
- Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
- Convergence of Generalized Belief Propagation Algorithm on Graphs with Motifs
- UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators
- Early Stopping for Deep Image Prior
- Multi-Attention Multiple Instance Learning
- A Comparative Study on Robust Graph Neural Networks to Structural Noises
- MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
- OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
- Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges
- FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
- Auto-Tag: Tagging-Data-By-Example in Data Lakes
- Behavior measures are predicted by how information is encoded in an individual's brain
- Achieving Low Complexity Neural Decoders via Iterative Pruning
- Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
- Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans
- On Automatic Data Augmentation for 3D Point Cloud Classification
- Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
- Towards automated optimisation of residual convolutional neural networks for electrocardiogram classification
- Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control
- Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
- Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
- Privacy Amplification via Shuffling for Linear Contextual Bandits
- Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
- Curvature-guided dynamic scale networks for Multi-view Stereo
- Formalising the Foundations of Discrete Reinforcement Learning in Isabelle/HOL
- Object Counting: You Only Need to Look at One
- Overview of The MediaEval 2021 Predicting Media Memorability Task
- Test Set Sizing Via Random Matrix Theory
- CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
- Prosody Labelled Dataset for Hindi using Semi-Automated Approach
- You Only Need End-to-End Training for Long-Tailed Recognition
- AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs
- SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
- Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
- Efficient Device Scheduling with Multi-Job Federated Learning
- ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning
- Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval
- Leaping Through Time with Gradient-based Adaptation for Recommendation
- Learning Contraction Policies from Offline Data
- An Empirical Study on Relation Extraction in the Biomedical Domain
- Neural Attention Models in Deep Learning: Survey and Taxonomy
- Federated Reinforcement Learning at the Edge
- Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness
- Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
- Hybrid Neural Networks for On-device Directional Hearing
- COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
- A Sparse Expansion For Deep Gaussian Processes
- Distributed Graph Learning with Smooth Data Priors
- Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
- The Past as a Stochastic Process
- SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
- On Adversarial Robustness of Point Cloud Semantic Segmentation