Papers
Sun 21 Feb 2021
66 papers
- Targeted Attack against Deep Neural Networks via Flipping Limited Weight BitsLLM safety and security → Backdoor and data poisoning attacks
- Some Network Optimization Models under Diverse Uncertain Environments
- Risk Prediction on Traffic Accidents using a Compact Neural Model for Multimodal Information Fusion over Urban Big Data
- Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
- Sequence-based deep learning antibody design for in silico antibody affinity maturation
- IoT-Enabled Social Relationships Meet Artificial Social Intelligence
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
- Ordinal relative belief entropy
- Detecting Compliance of Privacy Policies with Data Protection Laws
- Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification
- Causal Mediation Analysis with Hidden Confounders
- Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
- 3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
- A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
- Pruning the Index Contents for Memory Efficient Open-Domain QA
- Synthesizing Irreproducibility in Deep Networks
- Pre-Training BERT on Arabic Tweets: Practical Considerations
- Probabilistic Vehicle Reconstruction Using a Multi-Task CNN
- Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
- MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
- Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
- Safe Reinforcement Learning Using Robust Action Governor
- Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution
- AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment
- Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
- Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
- Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations
- Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT
- Classification of COVID-19 via Homology of CT-SCAN
- Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
- Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
- Mapping Surgeon's Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation
- Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs
- Learning Compositional Representation for Few-shot Visual Question Answering
- Symbolic regression for scientific discovery: an application to wind speed forecasting
- Tractable Computation of Expected Kernels
- Inconsistency thresholds for incomplete pairwise comparison matrices
- Contrastive Self-supervised Neural Architecture Search
- Inductive logic programming at 30
- Improving Action Quality Assessment using Weighted Aggregation
- A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
- Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
- Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
- Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing
- Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
- Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
- Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games
- Learning Efficient Navigation in Vortical Flow Fields
- Automatic Code Generation using Pre-Trained Language Models
- The Effects of Image Distribution and Task on Adversarial Robustness
- Relative Expressiveness of Defeasible Logics II
- Semi-supervised learning combining backpropagation and STDP: STDP enhances learning by backpropagation with a small amount of labeled data in a spiking neural network
- Delayed Rewards Calibration via Reward Empirical Sufficiency
- Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion
- Progressive Depth Learning for Single Image Dehazing
- CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
- Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
- A Sketching Method for Finding the Closest Point on a Convex Hull
- A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
- Social Networks Analysis to Retrieve Critical Comments on Online Platforms
- Learning Deep Features for Shape Correspondence with Domain Invariance
- Deep ReLU Networks Preserve Expected Length
- Stronger NAS with Weaker Predictors
- Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
- CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
- A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images