Papers
Sun 9 Jan 2022
54 papers
- Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo ReplayKnowledge distillation → General knowledge distillation methods
- Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language ProcessingLLM safety and security → Backdoor and data poisoning attacks
- Parallel framework for Dynamic Domain Decomposition of Data Assimilation problems a case study on Kalman Filter algorithm
- OPP-Miner: Order-preserving sequential pattern mining
- The relationship between sentiment score and COVID-19 cases in the United States
- RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications
- A hybrid estimation of distribution algorithm for joint stratification and sample allocation
- Machine learning enabling high-throughput and remote operations at large-scale user facilities
- A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics
- Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework
- Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform
- Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning
- Projection: A Mixed-Initiative Research Process
- Preserving Domain Private Representation via Mutual Information Maximization
- ImageSubject: A Large-scale Dataset for Subject Detection
- Uncovering the Source of Machine Bias
- The State of Aerial Surveillance: A Survey
- Selecting the Best Optimizing System
- Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
- COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
- Lung infection and normal region segmentation from CT volumes of COVID-19 cases
- Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations
- Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
- Medication Error Detection Using Contextual Language Models
- Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication
- Development of a hybrid machine-learning and optimization tool for performance-based solar shading design
- Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly Multimedia Traffic in Graynet
- An Ensemble Approach to Acronym Extraction using Transformers
- Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
- Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
- Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection
- Glance and Focus Networks for Dynamic Visual Recognition
- ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
- Privacy-aware Early Detection of COVID-19 through Adversarial Training
- MaskMTL: Attribute prediction in masked facial images with deep multitask learning
- A Survey on Face Recognition Systems
- Invariance encoding in sliced-Wasserstein space for image classification with limited training data
- Enhanced total variation minimization for stable image reconstruction
- Auto-Encoder based Co-Training Multi-View Representation Learning
- Indian Language Wordnets and their Linkages with Princeton WordNet
- MAXIM: Multi-Axis MLP for Image Processing
- An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic
- Robust classification with flexible discriminant analysis in heterogeneous data
- Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
- Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions
- Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safety
- Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices
- Fast solver for J2-perturbed Lambert problem using deep neural network
- TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model
- Weak Supervision for Affordable Modeling of Electrocardiogram Data
- Causal Discovery from Sparse Time-Series Data Using Echo State Network
- A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
- Open-Set Recognition of Breast Cancer Treatments
- λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences