Papers
Sun 1 Aug 2021
64 papers
- Transformer-based deep imitation learning for dual-arm robot manipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised LearningLLM safety and security → Backdoor and data poisoning attacks
- Learned holographic light transport
- Data Streaming and Traffic Gathering in Mesh-based NoC for Deep Neural Network Acceleration
- Improving the Performance of a NoC-based CNN Accelerator with Gather Support
- A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
- WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
- Is Disentanglement enough? On Latent Representations for Controllable Music Generation
- Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
- Boundary Knowledge Translation based Reference Semantic Segmentation
- FLASH: Fast Neural Architecture Search with Hardware Optimization
- Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
- PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding
- Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity
- A Reinforcement Learning Approach for Scheduling in mmWave Networks
- Geolocation differences of language use in urban areas
- Gates Are Not What You Need in RNNs
- You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
- BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
- Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes
- DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
- Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
- A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
- Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
- CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
- Self-supervised Learning with Local Attention-Aware Feature
- Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
- Explainable Deep Few-shot Anomaly Detection with Deviation Networks
- SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
- Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
- Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
- Hyper360 -- a Next Generation Toolset for Immersive Media
- An Effective and Robust Detector for Logo Detection
- Automated Pest Detection with DNN on the Edge for Precision Agriculture
- Computational Hierarchy of Elementary Cellular Automata
- Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients
- CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
- Discovering Distinctive "Semantics" in Super-Resolution Networks
- Masking Neural Networks Using Reachability Graphs to Predict Process Events
- Style Curriculum Learning for Robust Medical Image Segmentation
- Advances in adversarial attacks and defenses in computer vision: A survey
- Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
- Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
- BORM: Bayesian Object Relation Model for Indoor Scene Recognition
- Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
- Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
- Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
- WAS-VTON: Warping Architecture Search for Virtual Try-on Network
- Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
- Emerging Methods of Auction Design in Social Networks
- Visual Boundary Knowledge Translation for Foreground Segmentation
- Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment
- SPEAR : Semi-supervised Data Programming in Python
- DECAF: Deep Extreme Classification with Label Features
- CNN based Channel Estimation using NOMA for mmWave Massive MIMO System
- Agent-aware State Estimation in Autonomous Vehicles
- A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
- Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions
- IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
- Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer
- Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning
- ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
- UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
- LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering