Papers
Thu 11 Feb 2021
138 papers
- Proof Artifact Co-training for Theorem Proving with Language ModelsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest NeighborsLLM safety and security → Backdoor and data poisoning attacks
- Representation Matters: Offline Pretraining for Sequential Decision MakingOffline RL and imitation learning from data → Offline RL algorithms
- Lie-Sensor: A Live Emotion Verifier or a Licensor for Chat Applications using Emotional Intelligence
- Towards Personalised and Document-level Machine Translation of Dialogue
- Markov model with machine learning integration for fraud detection in health insurance
- End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax
- Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
- Four Generations of Control Theory Development ?
- Differentiating Surgeon Expertise Solely by Eye Movement Features
- A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes
- Cancer Gene Profiling through Unsupervised Discovery
- Real-Time Topology Optimization in 3D via Deep Transfer Learning
- Freudian and Newtonian Recurrent Cell for Sequential Recommendation
- On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
- A proof of concept study for machine learning application to stenosis detection
- Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance
- Mutually exciting point process graphs for modelling dynamic networks
- Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
- Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
- Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
- What does LIME really see in images?
- DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals
- Some Hoeffding- and Bernstein-type Concentration Inequalities
- No-Regret Algorithms for Time-Varying Bayesian Optimization
- A Multi-View Approach To Audio-Visual Speaker Verification
- When and How Mixup Improves Calibration
- K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
- COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
- Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients
- Speech-language Pre-training for End-to-end Spoken Language Understanding
- A reproduction of Apple's bi-directional LSTM models for language identification in short strings
- Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers
- Unsupervised Ground Metric Learning using Wasserstein Singular Vectors
- On Agnostic PAC Learning using L2-polynomial Regression and Fourier-based Algorithms
- Hedging of Financial Derivative Contracts via Monte Carlo Tree Search
- Unsupervised Extractive Summarization using Pointwise Mutual Information
- Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge
- Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model
- Using Echo State Networks to Approximate Value Functions for Control
- Continuum: Simple Management of Complex Continual Learning Scenarios
- Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
- Regret, stability & fairness in matching markets with bandit learners
- Knowledge Infused Policy Gradients for Adaptive Pandemic Control
- Deep Reinforcement Agent for Scheduling in HPC
- An Investigation of End-to-End Models for Robust Speech Recognition
- Optimization Issues in KL-Constrained Approximate Policy Iteration
- Higher Order Generalization Error for First Order Discretization of Langevin Diffusion
- Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization
- Hybrid Neural Fusion for Full-frame Video Stabilization
- Disentangled Representations from Non-Disentangled Models
- Private Prediction Sets
- A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
- Estimating a Directed Tree for Extremes
- Shelf-Supervised Mesh Prediction in the Wild
- Adversarial Segmentation Loss for Sketch Colorization
- Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
- Quadric Hypersurface Intersection for Manifold Learning in Feature Space
- Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
- Multi-Task Reinforcement Learning with Context-based Representations
- High-Performance Large-Scale Image Recognition Without Normalization
- COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
- Testing Framework for Black-box AI Models
- Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels
- Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy
- Personalized Embedding-based e-Commerce Recommendations at eBay
- Learning local regularization for variational image restoration
- EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets
- A Logic for Conditional Local Strategic Reasoning
- Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
- A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
- Meta-Thompson Sampling
- Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
- Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning
- A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
- The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media
- SWAGAN: A Style-based Wavelet-driven Generative Model
- Sufficiently Accurate Model Learning for Planning
- Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
- Partially Observed Exchangeable Modeling
- SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
- Uncertainty Propagation in Convolutional Neural Networks: Technical Report
- Deep Learning with Label Differential Privacy
- A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
- SLS (Single ℓ1 Selection): a new greedy algorithm with an ℓ1-norm selection rule
- Mixed State Entanglement Classification using Artificial Neural Networks
- A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
- Speech enhancement with mixture-of-deep-experts with clean clustering pre-training
- Feature Selection for Multivariate Time Series via Network Pruning
- The Barrier of meaning in archaeological data science
- Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers
- Fairness-Aware PAC Learning from Corrupted Data
- Language Independent Emotion Quantification using Non linear Modelling of Speech
- A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems
- Fairness Through Regularization for Learning to Rank
- Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank
- Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
- Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
- An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
- Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
All 138
- HyperPocket: Generative Point Cloud Completion
- L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
- Neural BRDF Representation and Importance Sampling
- Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
- EventScore: An Automated Real-time Early Warning Score for Clinical Events
- The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
- Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
- Text Compression-aided Transformer Encoding
- Adversarially robust deepfake media detection using fused convolutional neural network predictions
- DirectDebug: Automated Testing and Debugging of Feature Models
- Toward Improving Coherence and Diversity of Slogan Generation
- Focusing on the Hybrid Quantum Computing -- Tabu Search Algorithm: new results on the Asymmetric Salesman Problem
- Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
- PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
- Using Machine Intelligence to Prioritise Code Review Requests
- On Transportation of Mini-batches: A Hierarchical Approach
- Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
- CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
- OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
- Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
- Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
- Explainability in CNN Models By Means of Z-Scores
- ABOShips -- An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations
- Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
- Predicting Clinical Deterioration in Hospitals
- Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
- ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
- Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
- Online Deterministic Annealing for Classification and Clustering
- Causal Inference for Time series Analysis: Problems, Methods and Evaluation
- Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
- Frame Difference-Based Temporal Loss for Video Stylization
- Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
- Audiovisual Highlight Detection in Videos
- Robust Policy Gradient against Strong Data Corruption
- Lenient Regret and Good-Action Identification in Gaussian Process Bandits
- Differentiable Implicit Soft-Body Physics
- Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking