Papers
Sun 26 Jun 2022
79 papers
- RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video RetrievalMixture-of-experts → Vision mixture-of-experts
- Representative Teacher Keys for Knowledge Distillation Model Compression Based on Attention Mechanism for Image ClassificationKnowledge distillation → General knowledge distillation methods
- State of the Art of Audio- and Video-Based Solutions for AAL
- PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
- Class Impression for Data-free Incremental Learning
- Two-Stage Neural Contextual Bandits for Personalised News Recommendation
- How should we proxy for race/ethnicity? Comparing Bayesian improved surname geocoding to machine learning methods
- Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
- Structural Entropy Guided Graph Hierarchical Pooling
- Automatic Generation of Product-Image Sequence in E-commerce
- Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems
- Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
- FlowX: Towards Explainable Graph Neural Networks via Message Flows
- Explaining the root causes of unit-level changes
- Improving Policy Optimization with Generalist-Specialist Learning
- Explainable and High-Performance Hate and Offensive Speech Detection
- Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning
- Adversarially Robust PAC Learnability of Real-Valued Functions
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- RF Signal Classification with Synthetic Training Data and its Real-World Performance
- Self-Healing Robust Neural Networks via Closed-Loop Control
- Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose
- Szloca: towards a framework for full 3D tracking through a single camera in context of interactive arts
- Improving the Training Recipe for a Robust Conformer-based Hybrid Model
- Nonwatertight Mesh Reconstruction
- Cross-Silo Federated Learning: Challenges and Opportunities
- AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation
- Multi-view Feature Augmentation with Adaptive Class Activation Mapping
- Object Detection and Tracking with Autonomous UAV
- Checking Trustworthiness of Probabilistic Computations in a Typed Natural Deduction System
- Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
- Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi
- SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network
- Learning neural state-space models: do we need a state estimator?
- Vision Transformer for Contrastive Clustering
- Video Activity Localisation with Uncertainties in Temporal Boundary
- Non-Parametric Style Transfer
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
- Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange
- Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge
- Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection
- Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat
- Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
- ETO Meets Scheduling: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
- Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
- FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning
- k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
- FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement
- fETSmcs: Feature-based ETS model component selection
- Data Augmentation for Dementia Detection in Spoken Language
- Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches
- Image Aesthetics Assessment Using Graph Attention Network
- Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction
- Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering
- Marginal Inference queries in Hidden Markov Models under context-free grammar constraints
- Semantic Role Aware Correlation Transformer for Text to Video Retrieval
- Analysis of Stochastic Processes through Replay Buffers
- Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
- Repository-Level Prompt Generation for Large Language Models of Code
- Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer
- Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing
- On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode
- Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
- Role and Integration of Image Processing Systems in Maritime Target Tracking
- Memory-Guided Multi-View Multi-Domain Fake News Detection
- Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis
- Multiple Instance Learning with Mixed Supervision in Gleason Grading
- Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
- CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps
- APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain
- Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
- Meta Auxiliary Learning for Low-resource Spoken Language Understanding
- Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation
- Malware Detection and Prevention using Artificial Intelligence Techniques
- Estimation and inference for the Wasserstein distance between mixing measures in topic models
- Generalized Beliefs for Cooperative AI
- Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective
- Training Your Sparse Neural Network Better with Any Mask
- Spatiotemporal Data Mining: A Survey