Papers
Sun 14 Nov 2021
74 papers
- Learning Multi-Stage Tasks with One Demonstration via Self-ReplayOffline RL and imitation learning from data → Robot manipulation imitation learning
- Robust and Accurate Object Detection via Self-Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
- Automatic evaluation of scientific abstracts through natural language processing
- Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture
- BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks
- Visual design intuition: Predicting dynamic properties of beams from raw cross-section images
- Forecasting Crude Oil Price Using Event Extraction
- Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network
- A layer-stress learning framework universally augments deep neural network tasks
- Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations
- Free Will Belief as a consequence of Model-based Reinforcement Learning
- Scrutinizing XAI using linear ground-truth data with suppressor variables
- Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
- Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
- Decoding Causality by Fictitious VAR Modeling
- Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
- Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
- Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks
- HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast
- Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
- Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification
- A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
- Improving Compound Activity Classification via Deep Transfer and Representation Learning
- A Comparative Study of Fingerprint Image-Quality Estimation Methods
- Safe Online Convex Optimization with Unknown Linear Safety Constraints
- Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
- Generating Band-Limited Adversarial Surfaces Using Neural Networks
- Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion
- TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
- Time Waits for No One! Analysis and Challenges of Temporal Misalignment
- A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
- Textless Speech Emotion Conversion using Discrete and Decomposed Representations
- Neural Capacity Estimators: How Reliable Are They?
- Explicit Explore, Exploit, or Escape (E4): near-optimal safety-constrained reinforcement learning in polynomial time
- Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs
- DEEP: DEnoising Entity Pre-training for Neural Machine Translation
- Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
- Interpretable ECG classification via a query-based latent space traversal (qLST)
- Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
- Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency
- A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
- TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
- On equivalence between linear-chain conditional random fields and hidden Markov chains
- Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
- Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
- Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning
- "Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
- Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
- Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
- A Study on the Efficient Product Search Service for the Damaged Image Information
- Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
- p-Laplacian Based Graph Neural Networks
- Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning
- What Should We Optimize in Participatory Budgeting? An Experimental Study
- Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models
- Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks
- Novel Intensity Mapping Functions: Weighted Histogram Averaging
- Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot
- Auxiliary Loss Reweighting for Image Inpainting
- Understanding Jargon: Combining Extraction and Generation for Definition Modeling
- Linear, or Non-Linear, That is the Question!
- Code Representation Learning with Pr"ufer Sequences
- Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
- Towards annotation of text worlds in a literary work
- Moment Transform-Based Compressive Sensing in Image Processing
- Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
- Simulating Diffusion Bridges with Score Matching
- FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
- Curriculum Learning for Vision-and-Language Navigation
- Local Multi-Head Channel Self-Attention for Facial Expression Recognition
- SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
- Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning