Papers
Fri 9 Sep 2022
113 papers
- Defend Data Poisoning Attacks on Voice AuthenticationLLM safety and security → Audio jailbreaks and speech backdoors
- In-situ animal behavior classification using knowledge distillation and fixed-point quantizationKnowledge distillation → General knowledge distillation methods
- Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership InferenceLLM safety and security → Watermarking generated content and models
- Task-Agnostic Learning to Accomplish New TasksOffline RL and imitation learning from data → Robot manipulation imitation learning
- Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?
- T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
- Calibrating Segmentation Networks with Margin-based Label Smoothing
- Activity report analysis with automatic single or multispan answer extraction
- PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
- Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization
- Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting
- Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization
- Deep learning in a bilateral brain with hemispheric specialization
- Reconstruction of Three-dimensional Scroll Waves in Excitable Media from Two-Dimensional Observations using Deep Neural Networks
- Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation
- Automatically Score Tissue Images Like a Pathologist by Transfer Learning
- Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
- Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network
- Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling
- Avoiding Pragmatic Oddity: A Bottom-up Defeasible Deontic Logic
- Sparsity-guided Network Design for Frame Interpolation
- DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion
- Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus
- Improving Model Training via Self-learned Label Representations
- Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification
- PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
- The Space of Adversarial Strategies
- Affinity-VAE: incorporating prior knowledge in representation learning from scientific images
- Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio
- DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging
- General Place Recognition Survey: Towards the Real-world Autonomy Age
- Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
- Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
- MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
- Learning sparse auto-encoders for green AI image coding
- Improved Masked Image Generation with Token-Critic
- Investigation of a Machine learning methodology for the SKA pulsar search pipeline
- Expected Worst Case Regret via Stochastic Sequential Covering
- Trigger Warnings: Bootstrapping a Violence Detector for FanFiction
- GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression
- Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey
- MICO: Selective Search with Mutual Information Co-training
- Energy-Aware JPEG Image Compression: A Multi-Objective Approach
- Pre-training image-language transformers for open-vocabulary tasks
- EDeNN: Event Decay Neural Networks for low latency vision
- SC-Square: Future Progress with Machine Learning?
- A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
- Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health
- MIntRec: A New Dataset for Multimodal Intent Recognition
- Multi-objective hyperparameter optimization with performance uncertainty
- Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis
- Design of a Supervisory Control System for Autonomous Operation of Advanced Reactors
- Ranking-Enhanced Unsupervised Sentence Representation Learning
- Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization
- Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
- Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
- Alignment-based conformance checking over probabilistic events
- Towards Confidence-guided Shape Completion for Robotic Applications
- Automatic Readability Assessment of German Sentences with Transformer Ensembles
- Robust-by-Design Classification via Unitary-Gradient Neural Networks
- Tracking Small and Fast Moving Objects: A Benchmark
- F-coref: Fast, Accurate and Easy to Use Coreference Resolution
- Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots
- Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis
- Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
- Deriving dynamical systems for language based on the Tolerance Principle
- Knowledge-based Deep Learning for Modeling Chaotic Systems
- Shapley value-based approaches to explain the robustness of classifiers in machine learning
- Talking Head from Speech Audio using a Pre-trained Image Generator
- EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography
- Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet
- Survey on Deep Fuzzy Systems in regression applications: a view on interpretability
- Modelling Patient Trajectories Using Multimodal Information
- Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs
- Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
- Fast and Accurate Importance Weighting for Correcting Sample Bias
- Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm
- Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
- An Indian Roads Dataset for Supported and Suspended Traffic Lights Detection
- Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing
- Differentially Private Stochastic Gradient Descent with Low-Noise
- Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
- Anomaly Detection through Unsupervised Federated Learning
- Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects
- FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference
- Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
- Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces
- Overlapped speech and gender detection with WavLM pre-trained features
- Estimating Multi-label Accuracy using Labelset Distributions
- ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
- Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling
- SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
- Domain-specific Learning of Multi-scale Facial Dynamics for Apparent Personality Traits Prediction
- Extending Open Bandit Pipeline to Simulate Industry Challenges
- ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
- Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes
- Adapting to Non-Centered Languages for Zero-shot Multilingual Translation
- SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients
- MaxMatch-Dropout: Subword Regularization for WordPiece
All 113
- Fast Neural Kernel Embeddings for General Activations
- clusterBMA: Bayesian model averaging for clustering
- Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction
- Gaussian Process Koopman Mode Decomposition
- MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification
- An Analysis of Deep Reinforcement Learning Agents for Text-based Games
- MassMIND: Massachusetts Maritime INfrared Dataset
- Learning Audio-Visual embedding for Person Verification in the Wild
- Stochastic Compositional Optimization with Compositional Constraints
- Improving the Environmental Perception of Autonomous Vehicles using Deep Learning-based Audio Classification
- Audio Analytics-based Human Trafficking Detection Framework for Autonomous Vehicles
- RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
- TEACH: Temporal Action Composition for 3D Humans