Papers
Mon 26 Sep 2022
182 papers
- Diversified Dynamic Routing for Vision TasksMixture-of-experts → Vision mixture-of-experts
- Understanding Hindsight Goal Relabeling from a Divergence Minimization PerspectiveOffline RL and imitation learning from data → Imitation learning methods
- On Efficient Online Imitation Learning via ClassificationOffline RL and imitation learning from data → Imitation learning methods
- On Investigating the Conservative Property of Score-Based Generative ModelsDiffusion models → Diffusion foundations and sampling
- Learning Critical Scenarios in Feedback Control Systems for Automated DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification ModelsKnowledge distillation → Distillation for medical imaging
- Convergence of score-based generative modeling for general data distributionsDiffusion models → Diffusion foundations and sampling
- Generative machine learning methods for multivariate ensemble post-processing
- Learning to simulate realistic limit order book markets from data as a World Agent
- Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication
- FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
- TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding
- Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis
- Embedding-based neural network for investment return prediction
- DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness
- Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
- Text Independent Speaker Identification System for Access Control
- Review for AI-based Open-Circuit Faults Diagnosis Methods in Power Electronics Converters
- PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
- Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning
- DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics
- Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic Study
- Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
- Activation Learning by Local Competitions
- Paused Agent Replay Refresh
- Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
- Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
- EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
- Effective Invertible Arbitrary Image Rescaling
- Training Efficient Controllers via Analytic Policy Gradient
- Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
- An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems
- MonoGraspNet: 6-DoF Grasping with a Single RGB Image
- Totems: Physical Objects for Verifying Visual Integrity
- Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks
- Lex2Sent: A bagging approach to unsupervised sentiment analysis
- USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
- Automated Urban Planning aware Spatial Hierarchies and Human Instructions
- Habitat classification from satellite observations with sparse annotations
- Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile
- FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems
- Dialog Acts for Task-Driven Embodied Agents
- Liquid Structural State-Space Models
- Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls
- Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules
- On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
- Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification
- Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
- End-to-End Affordance Learning for Robotic Manipulation
- ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
- A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
- The Efficacy of Self-Supervised Speech Models for Audio Representations
- Optical Neural Ordinary Differential Equations
- Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
- Learning to Learn with Generative Models of Neural Network Checkpoints
- It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
- Approximate Description Length, Covering Numbers, and VC Dimension
- Performance Evaluation of 3D Keypoint Detectors and Descriptors on Coloured Point Clouds in Subsea Environments
- Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects
- Environmental and Social Sustainability of Creative-Ai
- Learning and Deploying Robust Locomotion Policies with Minimal Dynamics Randomization
- Variationally Mimetic Operator Networks
- Distance Measures for Geometric Graphs
- SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
- Automatic Identification and Classification of Share Buybacks and their Effect on Short-, Mid- and Long-Term Returns
- AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
- Towards Direct Comparison of Community Structures in Social Networks
- Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed
- Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
- Targeted Separation and Convergence with Kernel Discrepancies
- Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
- Advanced Skills by Learning Locomotion and Local Navigation End-to-End
- Multi-encoder attention-based architectures for sound recognition with partial visual assistance
- Abductive forgetting
- ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization
- Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned
- Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
- Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
- FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders
- Rethinking Resolution in the Context of Efficient Video Recognition
- Material Prediction for Design Automation Using Graph Representation Learning
- Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour
- Learning GFlowNets from partial episodes for improved convergence and stability
- Developing A Visual-Interactive Interface for Electronic Health Record Labeling: An Explainable Machine Learning Approach
- Truth and Preferences -- A Game Approach for Qualitative Choice Logic
- Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers
- Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps
- Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors
- EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems
- Scale-Invariant Fast Functional Registration
- Just-In-Time Learning for Operational Risk Assessment in Power Grids
- Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
- LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
- Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps
- A connection between probability, physics and neural networks
- Informative Text Generation from Knowledge Triples
- Machine Learning for Improved Gas Network Models in Coordinated Energy Systems
- DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars
- Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models
- A Simple Way to Learn Metrics Between Attributed Graphs
All 182
- LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation
- Enhancing convolutional neural network generalizability via low-rank weight approximation
- Text Summarization with Oracle Expectation
- Multi-Agent Coordination via Multi-Level Communication
- Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
- Multi-modal Video Chapter Generation
- More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
- Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images
- Exploring Attention GAN for Vehicle Motion Prediction
- Learning Variational Models with Unrolling and Bilevel Optimization
- PL-kNN: A Parameterless Nearest Neighbors Classifier
- FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
- Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications
- ImmunoLingo: Linguistics-based formalization of the antibody language
- Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning
- Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
- MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
- Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings
- Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval
- Generating Compressed Combinatory Proof Structures -- An Approach to Automated First-Order Theorem Proving
- Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
- Two-Tailed Averaging: Anytime, Adaptive, Once-in-a-While Optimal Weight Averaging for Better Generalization
- Robust Causality and False Attribution in Data-Driven Earth Science Discoveries
- Least-squares methods for nonnegative matrix factorization over rational functions
- Meta-Learning a Cross-lingual Manifold for Semantic Parsing
- Faked Speech Detection with Zero Prior Knowledge
- Improving Document Image Understanding with Reinforcement Finetuning
- Device-friendly Guava fruit and leaf disease detection using deep learning
- Clustering by Direct Optimization of the Medoid Silhouette
- Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech
- Myopia prediction for adolescents via time-aware deep learning
- An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
- End-to-end Multilingual Coreference Resolution with Mention Head Prediction
- Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression
- Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
- Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation
- Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval
- Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics
- On Projections to Linear Subspaces
- Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning
- Neural-FacTOR: Neural Representation Learning for Website Fingerprinting Attack over TOR Anonymity
- EOD: The IEEE GRSS Earth Observation Database
- Impact of Feedback Type on Explanatory Interactive Learning
- Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset
- RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation
- Learned Force Fields Are Ready For Ground State Catalyst Discovery
- Ablation Path Saliency
- Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
- YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)
- Self-supervised similarity models based on well-logging data
- Image Quality Assessment for Foliar Disease Identification (AgroPath)
- Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
- Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
- STD: Stable Triangle Descriptor for 3D place recognition
- Deep generative model super-resolves spatially correlated multiregional climate data
- O(T-1) Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
- Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination
- Learning Continuous Control Policies for Information-Theoretic Active Perception
- The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches
- Feature-based model selection for object detection from point cloud data
- 5-Star Hotel Customer Satisfaction Analysis Using Hybrid Methodology
- CAMEL: Learning Cost-maps Made Easy for Off-road Driving
- DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
- Entailment Semantics Can Be Extracted from an Ideal Language Model
- A heterogeneous group CNN for image super-resolution
- Sampling Constrained Continuous Probability Distributions: A Review
- Generalized Parametric Contrastive Learning
- Real-time Anomaly Detection for Multivariate Data Streams
- Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
- Multi-stage image denoising with the wavelet transform
- FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
- Neural State-Space Modeling with Latent Causal-Effect Disentanglement
- TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance
- Scalable Quantum Convolutional Neural Networks
- Spatiotemporal Multi-scale Bilateral Motion Network for Gait Recognition
- Multi-dataset Training of Transformers for Robust Action Recognition
- UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots
- News Summarization and Evaluation in the Era of GPT-3
- InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction
- Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres
- Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG
- Enhancing Claim Classification with Feature Extraction from Anomaly-Detection-Derived Routine and Peculiarity Profiles