Papers
Thu 4 Nov 2021
154 papers
- Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution MethodsLLM safety and security → Backdoor and data poisoning attacks
- RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Some Doxastic L ukasiewicz Logic
- Community detection using low-dimensional network embedding algorithms
- Model-assisted deep learning of rare extreme events from partial observations
- Multi-Airport Delay Prediction with Transformers
- Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method
- Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
- Ten Conceptual Dimensions of Context
- Flight Demand Forecasting with Transformers
- Mixed-Integer Optimization with Constraint Learning
- Improving Peer Assessment with Graph Convolutional Networks
- Control of a fly-mimicking flyer in complex flow using deep reinforcement learning
- Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
- Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project
- An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets
- Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
- Explainable k-means. Don't be greedy, plant bigger trees!
- Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
- MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
- EditGAN: High-Precision Semantic Image Editing
- LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
- Community detection in censored hypergraph
- Rate of Convergence of Polynomial Networks to Gaussian Processes
- Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
- ExClus: Explainable Clustering on Low-dimensional Data Representations
- Infinite Time Horizon Safety of Bayesian Neural Networks
- GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
- Predictive Machine Learning of Objective Boundaries for Solving COPs
- Are You Smarter Than a Random Expert? The Robust Aggregation of Substitutable Signals
- Generating Diverse Realistic Laughter for Interactive Art
- Amortized Variational Inference for Simple Hierarchical Models
- Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles
- Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
- Scaffolding Sets
- StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
- Attention on Classification for Fire Segmentation
- Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
- Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
- Functional connectivity ensemble method to enhance BCI performance (FUCONE)
- My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
- Successor Feature Neural Episodic Control
- How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction
- Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion
- Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
- Measuring Proximity in Attributed Networks for Community Detection
- Application of Machine Learning to Sleep Stage Classification
- Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster
- Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
- PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
- Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
- Engagement Decision Support for Beyond Visual Range Air Combat
- Bootstrap Your Object Detector via Mixed Training
- Imagine Networks
- A deep ensemble approach to X-ray polarimetry
- Introduction to Coresets: Approximated Mean
- A Unified Approach to Coreset Learning
- A System for General In-Hand Object Re-Orientation
- Unsupervised Learning of Compositional Energy Concepts
- Towards Panoptic 3D Parsing for Single Image in the Wild
- Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
- Causal inference with imperfect instrumental variables
- B-Pref: Benchmarking Preference-Based Reinforcement Learning
- Efficacy the of Confinement Policies on the COVID-19 Spread Dynamics in the Early Period of the Pandemic
- MT3: Multi-Task Multitrack Music Transcription
- Graph neural network initialisation of quantum approximate optimisation
- Modeling Techniques for Machine Learning Fairness: A Survey
- Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging
- Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries
- Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
- Unsupervised Change Detection of Extreme Events Using ML On-Board
- Towards an Understanding of Default Policies in Multitask Policy Optimization
- Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
- Quantum tangent kernel
- Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping
- Variational Inference with Holder Bounds
- Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
- Causal Inference with Hidden Mediators
- OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion
- Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
- A Unified View of Relational Deep Learning for Drug Pair Scoring
- Model-Free Risk-Sensitive Reinforcement Learning
- Symmetry-Aware Autoencoders: s-PCA and s-nlPCA
- Unsupervised and Distributional Detection of Machine-Generated Text
- Deep Artificial Intelligence for Fantasy Football Language Understanding
- Extended Abstract Version: CNN-based Human Detection System for UAVs in Search and Rescue
- Testing using Privileged Information by Adapting Features with Statistical Dependence
- Parameterized Knowledge Transfer for Personalized Federated Learning
- Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
- Big Data Testing Techniques: Taxonomy, Challenges and Future Trends
- Data-Driven Market Segmentation in Hospitality Using Unsupervised Machine Learning
- Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification
- Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
- A text autoencoder from transformer for fast encoding language representation
- Adversarial Attacks on Graph Classification via Bayesian Optimisation
- Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
- Optimised Playout Implementations for the Ludii General Game System
- Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
- Whistleblower protection in the digital age -- why 'anonymous' is not enough. From technology to a wider view of governance
- WaveFake: A Data Set to Facilitate Audio Deepfake Detection
All 154
- A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
- LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
- Flood forecasting with machine learning models in an operational framework
- The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties
- Representation Edit Distance as a Measure of Novelty
- Understanding Riemannian Acceleration via a Proximal Extragradient Framework
- Medicines Question Answering System, MeQA
- Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification
- FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation
- Label Ranking through Nonparametric Regression
- Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
- Deep Learning Methods for Daily Wildfire Danger Forecasting
- A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding
- When Neural Networks Using Different Sensors Create Similar Features
- Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model
- Facial Emotion Recognition using Deep Residual Networks in Real-World Environments
- Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
- Quasi-Newton Methods for Saddle Point Problems and Beyond
- Benchmarking Multimodal AutoML for Tabular Data with Text Fields
- Towards Smart Monitored AM: Open Source in-Situ Layer-wise 3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine
- Local-Global MCMC kernels: the best of both worlds
- Human Age Estimation from Gene Expression Data using Artificial Neural Networks
- CoreLM: Coreference-aware Language Model Fine-Tuning
- TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation
- MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
- A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia
- Voice Conversion Can Improve ASR in Very Low-Resource Settings
- Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering
- GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
- LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation
- Emergence of sensory attenuation based upon the free-energy principle
- Speech recognition for air traffic control via feature learning and end-to-end training
- Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
- Logically Sound Arguments for the Effectiveness of ML Safety Measures
- A Concentration Bound for LSPE(λ)
- Response Generation with Context-Aware Prompt Learning
- A novel control method for solving high-dimensional Hamiltonian systems through deep neural networks
- A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification
- A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
- Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
- Lexically Aware Semi-Supervised Learning for OCR Post-Correction
- On Semantic Cognition, Inductive Generalization, and Language Models
- Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?
- Leveraging Time Irreversibility with Order-Contrastive Pre-training
- An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data
- Conformal prediction for text infilling and part-of-speech prediction
- Building Damage Mapping with Self-PositiveUnlabeled Learning
- InQSS: a speech intelligibility and quality assessment model using a multi-task learning network
- Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval
- Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues
- Learning suction graspability considering grasp quality and robot reachability for bin-picking
- CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
- RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms