Papers
Thu 28 Jan 2021
118 papers
- Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series ForecastingDiffusion models → Flow matching, time series and science
- Embedding Symbolic Temporal Knowledge into Deep Sequential ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Universal Trading for Order Execution with Oracle Policy Distillation
- Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction
- Machine learning accelerated computational fluid dynamics
- Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data
- CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation
- LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing
- VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
- Adjusting for Autocorrelated Errors in Neural Networks for Time Series
- Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
- Combining pre-trained language models and structured knowledge
- From Geometry to Topology: Inverse Theorems for Distributed Persistence
- Simple Adaptive Estimation of Quadratic Functionals in Nonparametric IV Models
- Reliable COVID-19 Detection Using Chest X-ray Images
- Gaussian Process Latent Class Choice Models
- A Survey of Complex-Valued Neural Networks
- Revisiting Non-Specific Syndromic Surveillance
- D3DLO: Deep 3D LiDAR Odometry
- Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
- Differential Privacy Meets Federated Learning under Communication Constraints
- Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches
- Federated Multi-Armed Bandits
- Playable Video Generation
- Practical distributed quantum information processing with LOCCNet
- On the Origin of Implicit Regularization in Stochastic Gradient Descent
- LOME: Large Ontology Multilingual Extraction
- Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions
- Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking
- Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems
- A Survey on Personality-Aware Recommendation Systems
- Self-Attention Meta-Learner for Continual Learning
- tf.data: A Machine Learning Data Processing Framework
- Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
- Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning
- Domain Adaptation by Topology Regularization
- Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization
- Increasing the Confidence of Deep Neural Networks by Coverage Analysis
- An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms
- Adversarial Machine Learning Attacks on Condition-Based Maintenance Capabilities
- Modeling Context in Answer Sentence Selection Systems on a Latency Budget
- Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network
- Learning Structural Edits via Incremental Tree Transformations
- Fusion Moves for Graph Matching
- Generalising via Meta-Examples for Continual Learning in the Wild
- S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training
- A Neural Few-Shot Text Classification Reality Check
- VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs
- Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources
- Edge Federated Learning Via Unit-Modulus Over-The-Air Computation
- VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild
- BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
- A transformer based approach for fighting COVID-19 fake news
- BERTa'u: Ita'u BERT for digital customer service
- Copula-based conformal prediction for Multi-Target Regression
- Acting in Delayed Environments with Non-Stationary Markov Policies
- PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation
- Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
- Machine learning for cloud resources management -- An overview
- Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
- Disembodied Machine Learning: On the Illusion of Objectivity in NLP
- PSpan:Mining Frequent Subnets of Petri Nets
- AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models
- Exploring the Impact of Tunable Agents in Sequential Social Dilemmas
- Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration
- Attention Guided Dialogue State Tracking with Sparse Supervision
- Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
- Identifying COVID-19 Fake News in Social Media
- Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
- Neural Particle Image Velocimetry
- Choice modelling in the age of machine learning -- discussion paper
- Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics
- An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans
- Exploring Cross-Image Pixel Contrast for Semantic Segmentation
- A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
- Approximation Theory of Tree Tensor Networks: Tensorized Multivariate Functions
- Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning
- Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains
- The Role of Syntactic Planning in Compositional Image Captioning
- Development of a Vertex Finding Algorithm using Recurrent Neural Network
- Self-supervised Cross-silo Federated Neural Architecture Search
- LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
- Automatic design of novel potential 3CLpro and PLpro inhibitors
- Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling
- Does Typological Blinding Impede Cross-Lingual Sharing?
- Causality and independence in perfectly adapted dynamical systems
- Deep learning via LSTM models for COVID-19 infection forecasting in India
- CORL: Compositional Representation Learning for Few-Shot Classification
- Website fingerprinting on early QUIC traffic
- Strategic Argumentation Dialogues for Persuasion: Framework and Experiments Based on Modelling the Beliefs and Concerns of the Persuadee
- Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit
- Interpreting and Unifying Graph Neural Networks with An Optimization Framework
- POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
- A Taxonomy of Explainable Bayesian Networks
- DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting
- Reducing ReLU Count for Privacy-Preserving CNN Speedup
- Neural Architecture Search with Random Labels
- Making Responsible AI the Norm rather than the Exception
- Adaptive Decision Forest: An Incremental Machine Learning Framework
- Inference of stochastic time series with missing data
All 118
- Interpolating Classifiers Make Few Mistakes
- SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation
- Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
- Chronological age estimation of lateral cephalometric radiographs with deep learning
- Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning
- AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
- Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
- DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents
- Augmenting Proposals by the Detector Itself
- Random Graph Matching with Improved Noise Robustness
- Object Detection Made Simpler by Eliminating Heuristic NMS
- Moral and Social Ramifications of Autonomous Vehicles
- Learning Matching Representations for Individualized Organ Transplantation Allocation
- Improving Neural Network Robustness through Neighborhood Preserving Layers
- An Overview of Machine Learning Techniques for Radiowave Propagation Modeling
- ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
- Faster Kernel Interpolation for Gaussian Processes
- Information contraction in noisy binary neural networks and its implications