Papers
Sun 29 Aug 2021
66 papers
- Lipschitz Continuity Guided Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Are Training Resources Insufficient? Predict First Then Explain!
- NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models
- Zero-shot Natural Language Video Localization
- HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media
- Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services
- Autonomous Curiosity for Real-Time Training Onboard Robotic Agents
- Ideals and Virtual Realities
- Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction
- A survey on IQA
- Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
- Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models
- Distributed Swarm Collision Avoidance Based on Angular Calculations
- NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
- Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
- Mischievous Nominal Constructions in Universal Dependencies
- Photonic Quantum Policy Learning in OpenAI Gym
- KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
- A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning
- Leveraging Transprecision Computing for Machine Vision Applications at the Edge
- Layout-to-Image Translation with Double Pooling Generative Adversarial Networks
- Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation
- Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
- A closed loop gradient descent algorithm applied to Rosenbrock's function
- Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
- Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration
- Multiplex Graph Neural Network for Extractive Text Summarization
- A Multimodal Framework for Video Ads Understanding
- Partial Domain Adaptation without Domain Alignment
- MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
- Neural Network Gaussian Processes by Increasing Depth
- Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
- Uncertainty quantification for multiclass data description
- Differentiable Convolution Search for Point Cloud Processing
- Span Fine-tuning for Pre-trained Language Models
- Non-Parametric Neural Style Transfer
- Flow-Guided Video Inpainting with Scene Templates
- Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
- DASHA: Decentralized Autofocusing System with Hierarchical Agents
- Rethinking Deep Image Prior for Denoising
- MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
- Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
- Analyzing and Mitigating Interference in Neural Architecture Search
- A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
- Airplane Detection Based on Mask Region Convolution Neural Network
- Privacy-preserving Machine Learning for Medical Image Classification
- Airplane Type Identification Based on Mask RCNN and Drone Images
- DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
- Interpretable Propaganda Detection in News Articles
- Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones
- RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network
- Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models
- TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
- Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
- CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
- Calibrating Class Activation Maps for Long-Tailed Visual Recognition
- Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures
- Sentence Structure and Word Relationship Modeling for Emphasis Selection
- Certifying One-Phase Technology-Assisted Reviews
- Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts
- SummerTime: Text Summarization Toolkit for Non-experts
- Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
- Feature Analysis for Machine Learning-based IoT Intrusion Detection
- kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
- Characterizing Malicious URL Campaigns
- DEGREE: A Data-Efficient Generation-Based Event Extraction Model