Papers
Wed 23 Feb 2022
175 papers
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutKnowledge distillation → Detection and dense prediction distillation
- Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined ClassificationKnowledge distillation → General knowledge distillation methods
- Cooperative Behavior Planning for Automated Driving using Graph Neural NetworksEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive ActionsLLM reasoning → Spatial and embodied reasoning
- Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface VesselOffline RL and imitation learning from data → Imitation learning methods
- Biometric recognition: why not massively adopted yet?
- Speech watermarking: an approach for the forensic analysis of digital telephonic recordings
- Speaker recognition improvement using blind inversion of distortions
- Memory Planning for Deep Neural Networks
- Technological evaluation of two AFIS systems
- Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching
- Simulating Network Paths with Recurrent Buffering Units
- A Real-World Implementation of Unbiased Lift-based Bidding System
- Path-Aware Graph Attention for HD Maps in Motion Prediction
- Modulation and signal class labelling using active learning and classification using machine learning
- Synthesizing Photorealistic Images with Deep Generative Learning
- FedCAT: Towards Accurate Federated Learning via Device Concatenation
- Learning Relative Return Policies With Upside-Down Reinforcement Learning
- State-of-the-art in speaker recognition
- Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
- UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training
- Systematic review of deep learning and machine learning for building energy
- Clustering Edges in Directed Graphs
- On the Omnipresence of Spurious Local Minima in Certain Neural Network Training Problems
- A Method for Waste Segregation using Convolutional Neural Networks
- Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
- ISDA: Position-Aware Instance Segmentation with Deformable Attention
- EMOTHAW: A novel database for emotional state recognition from handwriting
- Flat Latent Manifolds for Human-machine Co-creation of Music
- On-line signature verification system with failure to enroll managing
- A comparative study of in-air trajectories at short and long distances in online handwriting
- Near Perfect GAN Inversion
- A modification of the conjugate direction method for motion estimation
- Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks
- Differentially Private Speaker Anonymization
- Using natural language prompts for machine translation
- Physics-informed neural networks for inverse problems in supersonic flows
- Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark
- Consistent Dropout for Policy Gradient Reinforcement Learning
- Benefit of Interpolation in Nearest Neighbor Algorithms
- NeuroView-RNN: It's About Time
- Nuclei panoptic segmentation and composition regression with multi-task deep neural networks
- Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors
- Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
- Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
- Investigating the effect of binning on causal discovery
- Generative modeling via tensor train sketching
- Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data
- Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks
- RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification
- Art Creation with Multi-Conditional StyleGANs
- Discovering Multiple and Diverse Directions for Cognitive Image Properties
- From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach
- A gentle introduction to Quantum Natural Language Processing
- When do GANs replicate? On the choice of dataset size
- ML-based Anomaly Detection in Optical Fiber Monitoring
- Are All Linear Regions Created Equal?
- The Need for Interpretable Features: Motivation and Taxonomy
- Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
- Truncated LinUCB for Stochastic Linear Bandits
- Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks
- Completely Quantum Neural Networks
- Flow-based sampling in the lattice Schwinger model at criticality
- COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
- Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis
- Super-resolution GANs of randomly-seeded fields
- A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
- MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
- Bayesian Model Selection, the Marginal Likelihood, and Generalization
- Learning Fast and Slow for Online Time Series Forecasting
- Wide Mean-Field Bayesian Neural Networks Ignore the Data
- Refining the state-of-the-art in Machine Translation, optimizing NMT for the JA <-> EN language pair by leveraging personal domain expertise
- Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering
- Comparative analysis of machine learning methods for active flow control
- Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
- Globally Convergent Policy Search over Dynamic Filters for Output Estimation
- TEE-based decentralized recommender systems: The raw data sharing redemption
- Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation
- Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
- A Complete Criterion for Value of Information in Soluble Influence Diagrams
- ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
- Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
- Deep Bayesian ICP Covariance Estimation
- A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
- Finding Safe Zones of policies Markov Decision Processes
- A Law of Robustness beyond Isoperimetry
- Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
- Shisha: Online scheduling of CNN pipelines on heterogeneous architectures
- Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction
- Short-answer scoring with ensembles of pretrained language models
- Robust Geometric Metric Learning
- Amodal Panoptic Segmentation
- Diffractive optical system design by cascaded propagation
- Inference of Affordances and Active Motor Control in Simulated Agents
- Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
- ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints
- Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
- Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping
- Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features
All 175
- MITI: SLAM Benchmark for Laparoscopic Surgery
- Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes
- Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
- Augmentation based unsupervised domain adaptation
- Reconstruction Task Finds Universal Winning Tickets
- Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
- Residual Bootstrap Exploration for Stochastic Linear Bandit
- Thermal hand image segmentation for biometric recognition
- Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
- Biometric security technology
- SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text
- On PAC-Bayesian reconstruction guarantees for VAEs
- Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
- Deep Learning Reproducibility and Explainable AI (XAI)
- Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
- Reconstruction of observed mechanical motions with Artificial Intelligence tools
- Enabling arbitrary translation objectives with Adaptive Tree Search
- Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction
- DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization
- A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing
- Multi-view Intent Disentangle Graph Networks for Bundle Recommendation
- Towards Speaker Age Estimation with Label Distribution Learning
- Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions
- Testing report of a fingerprint-based door-opening system
- Privacy issues on biometric systems
- A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting
- Mixed-Block Neural Architecture Search for Medical Image Segmentation
- Differential privacy for symmetric log-concave mechanisms
- Fast Sparse Classification for Generalized Linear and Additive Models
- Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning
- Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images
- Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
- Localizing Small Apples in Complex Apple Orchard Environments
- FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks
- Exploratory Methods for Relation Discovery in Archival Data
- Deep Graph Learning for Anomalous Citation Detection
- Deepfake Detection for Facial Images with Facemasks
- Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
- Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
- Prompt-Learning for Short Text Classification
- Training Adaptive Reconstruction Networks for Blind Inverse Problems
- Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach
- EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception
- Efficient CDF Approximations for Normalizing Flows
- Absolute Zero-Shot Learning
- The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
- Multivariate Quantile Function Forecaster
- Are We Ready for Robust and Resilient SLAM? A Framework For Quantitative Characterization of SLAM Datasets
- Web of Scholars: A Scholar Knowledge Graph
- Exploring Classic Quantitative Strategies
- Knowledge Augmented BERT Mutual Network in Multi-turn Spoken Dialogues
- Reinforcement Learning in Practice: Opportunities and Challenges
- Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring
- Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
- Classification of Computer Aided Engineering (CAE) Parts Using Graph Convolutional Networks
- LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
- Deep Recurrent Modelling of Granger Causality with Latent Confounding
- Neural Generalised AutoRegressive Conditional Heteroskedasticity
- Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup
- An End-to-End Cascaded Image Deraining and Object Detection Neural Network
- Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
- ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
- NetRCA: An Effective Network Fault Cause Localization Algorithm
- Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
- Margin-distancing for safe model explanation
- Blockchain Framework for Artificial Intelligence Computation
- Many processors, little time: MCMC for partitions via optimal transport couplings
- Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy
- Performance Modeling of Metric-Based Serverless Computing Platforms
- Learning Neural Networks under Input-Output Specifications
- Exploring Edge Disentanglement for Node Classification
- A Bayesian Deep Learning Approach to Near-Term Climate Prediction
- MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms
- FUNQUE: Fusion of Unified Quality Evaluators
- Constant matters: Fine-grained Complexity of Differentially Private Continual Observation