Papers
Sun 24 Jan 2021
66 papers
- Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task
- Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI
- Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
- Guilty Artificial Minds
- EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
- Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation
- Maximum n-times Coverage for Vaccine Design
- Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis
- Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
- Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
- Meta-Regularization by Enforcing Mutual-Exclusiveness
- Encrypted Internet traffic classification using a supervised Spiking Neural Network
- Annealed Stein Variational Gradient Descent
- FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
- NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy
- Analytical Characterization and Design Space Exploration for Optimization of CNNs
- Online Memory Leak Detection in the Cloud-based Infrastructures
- Exploring ensembles and uncertainty minimization in denoising networks
- cGANs for Cartoon to Real-life Images
- Context-Specific Likelihood Weighting
- Evaluating Models of Robust Word Recognition with Serial Reproduction
- A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
- Fighting deepfakes by detecting GAN DCT anomalies
- Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
- Belief-based Generation of Argumentative Claims
- Analysing the Noise Model Error for Realistic Noisy Label Data
- Entropy Partial Transport with Tree Metrics: Theory and Practice
- RomeBERT: Robust Training of Multi-Exit BERT
- AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
- Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation
- Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
- Classic versus deep learning approaches to address computer vision challenges
- A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles
- Improving Continuous-time Conflict Based Search
- Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
- Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision
- Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
- Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
- Does Head Label Help for Long-Tailed Multi-Label Text Classification
- Fast Sequence Generation with Multi-Agent Reinforcement Learning
- A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
- Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
- Solving optimal stopping problems with Deep Q-Learning
- Pruning and Quantization for Deep Neural Network Acceleration: A Survey
- Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh
- Grad-CAM guided channel-spatial attention module for fine-grained visual classification
- Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
- Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data
- VIO-Aided Structure from Motion Under Challenging Environments
- Explanation as a Defense of Recommendation
- GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
- Leveraging Expert Consistency to Improve Algorithmic Decision Support
- Does Dialog Length matter for Next Response Selection task? An Empirical Study
- Multi-Task Time Series Forecasting With Shared Attention
- A Dual-branch Network for Infrared and Visible Image Fusion
- Image Compression with Encoder-Decoder Matched Semantic Segmentation
- OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
- Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
- FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
- DenseNet for Breast Tumor Classification in Mammographic Images
- WangchanBERTa: Pretraining transformer-based Thai Language Models
- A Review of Speaker Diarization: Recent Advances with Deep Learning
- A Comprehensive Evaluation Framework for Deep Model Robustness
- A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
- On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
- Generative hypergraph clustering: from blockmodels to modularity