Papers
Tue 11 May 2021
145 papers
- Diffusion Models Beat GANs on Image SynthesisDiffusion models → Diffusion foundations and sampling
- Prediction of soft proton intensities in the near-Earth space using machine learning
- Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization
- Towards an Online Empathetic Chatbot with Emotion Causes
- Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field
- Vision-based Neural Scene Representations for Spacecraft
- Machine Assistance for Credit Card Approval? Random Wheel can Recommend and Explain
- 3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration
- Variational Auto Encoder Gradient Clustering
- The Summary Loop: Learning to Write Abstractive Summaries Without Examples
- Real-time Ionospheric Imaging of S4 Scintillation from Limited Data with Parallel Kalman Filters and Smoothness
- Video Frame Interpolation via Structure-Motion based Iterative Fusion
- Few-Shot Learning by Integrating Spatial and Frequency Representation
- Return-based Scaling: Yet Another Normalisation Trick for Deep RL
- Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding
- The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting
- Neuro-Symbolic Artificial Intelligence: Current Trends
- Comparing interpretability and explainability for feature selection
- Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
- GANs for Medical Image Synthesis: An Empirical Study
- Incremental Few-Shot Instance Segmentation
- Intelligent interactive technologies for mental health and well-being
- Collaborative Regression of Expressive Bodies using Moderation
- One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
- Online POMDP Planning via Simplification
- Hermitian Symmetric Spaces for Graph Embeddings
- Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
- Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus
- Stochastic Formulation of Causal Digital Twin: Kalman Filter Algorithm
- Soft BIBD and Product Gradient Codes
- Global Convergence of Three-layer Neural Networks in the Mean Field Regime
- Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base
- Home Action Genome: Cooperative Compositional Action Understanding
- Including Signed Languages in Natural Language Processing
- Representation Learning via Global Temporal Alignment and Cycle-Consistency
- ReflectNet -- A Generative Adversarial Method for Single Image Reflection Suppression
- Two novel feature selection algorithms based on crowding distance
- Restoring Hebrew Diacritics Without a Dictionary
- Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
- Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
- Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation
- Factoring Multidimensional Data to Create a Sophisticated Bayes Classifier
- On the Renyi Differential Privacy of the Shuffle Model
- U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels
- AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
- TAG: Task-based Accumulated Gradients for Lifelong learning
- A Twin Neural Model for Uplift
- Visual Perspective Taking for Opponent Behavior Modeling
- Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Losses
- kdehumor at semeval-2020 task 7: a neural network model for detecting funniness in dataset humicroedit
- Towards a Model for LSH
- Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method
- Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection
- A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems
- DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays
- Towards Using Diachronic Distributed Word Representations as Models of Lexical Development
- Research on Mosaic Image Data Enhancement for Overlapping Ship Targets
- ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
- Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols
- ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
- Joint Text and Label Generation for Spoken Language Understanding
- BikNN: Anomaly Estimation in Bilateral Domains with k-Nearest Neighbors
- Gradient flow encoding with distance optimization adaptive step size
- Towards transparency in NLP shared tasks
- Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation
- Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application
- Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer
- Counterfactual Explanations for Neural Recommenders
- CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
- FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
- Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification
- Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention
- Graph Theory for Metro Traffic Modelling
- Weighted Hierarchical Sparse Representation for Hyperspectral Target Detection
- A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal
- Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting
- Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis
- Designing an Automatic Agent for Repeated Language based Persuasion Games
- Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
- Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
- Exploring a Handwriting Programming Language for Educational Robots
- Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
- Task-Related Self-Supervised Learning for Remote Sensing Image Change Detection
- BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
- Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies
- A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem
- One Shot Face Swapping on Megapixels
- Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes
- More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
- Pruning of Deep Spiking Neural Networks through Gradient Rewiring
- Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media
- Video Surveillance for Road Traffic Monitoring
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
- Scene Understanding for Autonomous Driving
- Conversational Entity Linking: Problem Definition and Datasets
- Forecasting consumer confidence through semantic network analysis of online news
- Image Classification with Classic and Deep Learning Techniques
- Museum Painting Retrieval
- Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
- Graph-based Neural Architecture Search with Operation Embeddings
All 145
- Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
- Consistent Multiple Graph Embedding for Multi-View Clustering
- Benchmarking down-scaled (not so large) pre-trained language models
- Video-based Analysis of Soccer Matches
- EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
- Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach
- Leveraging Sparse Linear Layers for Debuggable Deep Networks
- Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
- Estimation and Quantization of Expected Persistence Diagrams
- Improving the Transient Times for Distributed Stochastic Gradient Methods
- Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs
- Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs
- Can You Traducir This? Machine Translation for Code-Switched Input
- Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation
- Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
- Rationalization through Concepts
- Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
- Improving Adversarial Transferability with Gradient Refining
- Uncover Common Facial Expressions in Terracotta Warriors: A Deep Learning Approach
- Learning Implicit Temporal Alignment for Few-shot Video Classification
- Fibrational Initial Algebra-Final Coalgebra Coincidence over Initial Algebras: Turning Verification Witnesses Upside Down
- Spectral risk-based learning using unbounded losses
- ORCEA: Object Recognition by Continuous Evidence Assimilation
- Deep scattering network for speech emotion recognition
- On Characterizing GAN Convergence Through Proximal Duality Gap
- A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
- Temporal graph-based approach for behavioural entity classification
- Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
- Cross-Modal Generative Augmentation for Visual Question Answering
- EL-Attention: Memory Efficient Lossless Attention for Generation
- Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
- Learning to Ask Appropriate Questions in Conversational Recommendation
- EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
- Exact Recovery in the General Hypergraph Stochastic Block Model
- Scalable Personalised Item Ranking through Parametric Density Estimation
- Sums of Separable and Quadratic Polynomials
- Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
- Federated Unbiased Learning to Rank
- Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty
- Non-Parametric Estimation of Manifolds from Noisy Data
- Differentiable Signal Processing With Black-Box Audio Effects
- Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network
- Lightweight Distributed Gaussian Process Regression for Online Machine Learning
- Unsupervised domain adaptation via double classifiers based on high confidence pseudo label
- Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data