Papers
Fri 15 Jan 2021
101 papers
- Mining Data Impressions from Deep Models as Substitute for the Unavailable Training DataKnowledge distillation → General knowledge distillation methods
- Affordance-based Reinforcement Learning for Urban DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size QuantizationKnowledge distillation → Knowledge distillation for LLMs
- Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection
- Automating Program Structure Classification
- TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering
- A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC
- Fitting very flexible models: Linear regression with large numbers of parameters
- Is it a great Autonomous FX Trading Strategy or you are just fooling yourself
- Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
- dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts
- In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
- Attention Based Video Summaries of Live Online Zoom Classes
- Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC
- TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
- Old but Gold: Reconsidering the value of feedforward learners for software analytics
- Machine-Learning Mathematical Structures
- Fundamental Tradeoffs in Distributionally Adversarial Training
- Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning
- Sensitivity Prewarping for Local Surrogate Modeling
- On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference
- COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
- Local Search Algorithms for Rank-Constrained Convex Optimization
- Harmonization and the Worst Scanner Syndrome
- Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision
- Blind Image Deblurring based on Kernel Mixture
- Predictive Optimization with Zero-Shot Domain Adaptation
- Towards interpreting ML-based automated malware detection models: a survey
- Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography
- Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
- Multi-point dimensionality reduction to improve projection layout reliability
- LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
- Player-AI Interaction: What Neural Network Games Reveal About AI as Play
- APEX-Net: Automatic Plot Extractor Network
- A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
- Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems
- Deciding What to Learn: A Rate-Distortion Approach
- Hybrid Quantum-Classical Graph Convolutional Network
- Temporal-Relational CrossTransformers for Few-Shot Action Recognition
- STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
- Learning to Sample from Censored Markov Random Fields
- Hierarchical Width-Based Planning and Learning
- PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
- Empirical Evaluation of Supervision Signals for Style Transfer Models
- Probabilistic Inference for Learning from Untrusted Sources
- A General Framework for Hypercomplex-valued Extreme Learning Machines
- Learning Invariant Representation for Continual Learning
- Vision-based Vehicle Speed Estimation: A Survey
- On the statistical complexity of quantum circuits
- Annotation of epidemiological information in animal disease-related news articles: guidelines
- Teaming up with information agents
- EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
- The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
- Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
- A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
- Black-box Adversarial Attacks in Autonomous Vehicle Technology
- On the Verification and Validation of AI Navigation Algorithms
- Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
- Causal Gradient Boosting: Boosted Instrumental Variable Regression
- Dynamic Normalization
- Video Summarization Using Deep Neural Networks: A Survey
- Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification
- Efficient Semi-Implicit Variational Inference
- Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
- Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
- EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
- Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
- The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements
- Counterfactual Generative Networks
- A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
- Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
- Motion-Based Handwriting Recognition and Word Reconstruction
- Motion-Based Handwriting Recognition
- Non-uniform Motion Deblurring with Blurry Component Divided Guidance
- Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
- The Geometry of Deep Generative Image Models and its Applications
- Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts
- Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition
- Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
- Ensemble Learning Based Classification Algorithm Recommendation
- Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
- Coarse-grained decomposition and fine-grained interaction for multi-hop question answering
- Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
- Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
- Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
- "Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
- Responsible AI Challenges in End-to-end Machine Learning
- SoftNER: Mining Knowledge Graphs From Cloud Incidents
- DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
- Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
- Descriptive AI Ethics: Collecting and Understanding the Public Opinion
- Recent Advances in Video Question Answering: A Review of Datasets and Methods
- Hostility Detection and Covid-19 Fake News Detection in Social Media
- Dynamic DNN Decomposition for Lossless Synergistic Inference
- Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
- Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
- A practical test for a planted community in heterogeneous networks
- Nowcasting Gentrification Using Airbnb Data
- Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization
- DiffPD: Differentiable Projective Dynamics