Papers
Sun 27 Jun 2021
80 papers
- Reward-Based 1-bit Compressed Federated Distillation on BlockchainKnowledge distillation → Federated, robust and private distillation
- WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification
- Learning and Adaptation for Millimeter-Wave Beam Tracking and Training: a Dual Timescale Variational Framework
- Immuno-mimetic Deep Neural Networks (Immuno-Net)
- RAILS: A Robust Adversarial Immune-inspired Learning System
- Power Law Graph Transformer for Machine Translation and Representation Learning
- Crowdsourcing Evaluation of Saliency-based XAI Methods
- A Comprehensive Survey of Incentive Mechanism for Federated Learning
- A Behavior-aware Graph Convolution Network Model for Video Recommendation
- Online Interaction Detection for Click-Through Rate Prediction
- DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
- Regret Analysis in Deterministic Reinforcement Learning
- Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
- A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation
- Last-iterate Convergence in Extensive-Form Games
- Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
- Use of Variational Inference in Music Emotion Recognition
- Draw Me a Flower: Processing and Grounding Abstraction in Natural Language
- Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations
- Change Detection for Geodatabase Updating
- Concentration of Contractive Stochastic Approximation and Reinforcement Learning
- Geometric Processing for Image-based 3D Object Modeling
- 3D Reconstruction through Fusion of Cross-View Images
- Unsupervised Skill Discovery with Bottleneck Option Learning
- ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
- A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
- Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
- Darker than Black-Box: Face Reconstruction from Similarity Queries
- Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
- A Closer Look at How Fine-tuning Changes BERT
- How many moments does MMD compare?
- Learning without Forgetting for 3D Point Cloud Objects
- Learning Mesh Representations via Binary Space Partitioning Tree Networks
- Deep Learning for Technical Document Classification
- SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
- Use of Machine Learning Technique to maximize the signal over background for H rightarrow τ τ
- Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
- Pairing Conceptual Modeling with Machine Learning
- Multi-Modal Transformer for Accelerated MR Imaging
- Interpretable Network Representation Learning with Principal Component Analysis
- KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
- DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
- Over-the-Air Federated Multi-Task Learning
- AI based Presentation Creator With Customized Audio Content Delivery
- Nonparametric estimation of continuous DPPs with kernel methods
- Representation Based Regression for Object Distance Estimation
- A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
- Learning to solve geometric construction problems from images
- SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation
- Disentangling semantic features of macromolecules in Cryo-Electron Tomography
- Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
- An XAI Approach to Deep Learning Models in the Detection of DCIS
- Memory Guided Road Detection
- The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
- Residual Moment Loss for Medical Image Segmentation
- On Hyperspectral Unmixing
- Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
- PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
- Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
- Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
- A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
- Few-Shot Domain Expansion for Face Anti-Spoofing
- DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution
- Analyzing Research Trends in Inorganic Materials Literature Using NLP
- Post-Training Quantization for Vision Transformer
- Image content dependent semi-fragile watermarking with localized tamper detection
- Machine Learning Detection Algorithm for Large Barkhausen Jumps in Cluttered Environment
- Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control with Model-assisted Learning
- Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
- Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
- Robust Pose Transfer with Dynamic Details using Neural Video Rendering
- SymbolicGPT: A Generative Transformer Model for Symbolic Regression
- Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
- Visual Conceptual Blending with Large-scale Language and Vision Models
- AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
- Attention-guided Progressive Mapping for Profile Face Recognition
- Score-Based Change Detection for Gradient-Based Learning Machines
- On a novel training algorithm for sequence-to-sequence predictive recurrent networks
- Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
- Graph Convolutional Memory using Topological Priors