Papers
Sun 27 Feb 2022
68 papers
- Conditional Simulation Using Diffusion Schr"odinger BridgesDiffusion models → Diffusion foundations and sampling
- Towards Unifying Logical Entailment and Statistical EstimationLLM reasoning → Reasoning benchmarks and evaluation
- TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature RepresentationsLLM safety and security → Machine unlearning
- Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method
- Spatial-Temporal Attention Fusion Network for short-term passenger flow prediction on holidays in urban rail transit systems
- Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery
- Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
- Causal Domain Adaptation with Copula Entropy based Conditional Independence Test
- PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers
- Interpretable Concept-based Prototypical Networks for Few-Shot Learning
- The Spectral Bias of Polynomial Neural Networks
- Synergistic Network Learning and Label Correction for Noise-robust Image Classification
- ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
- UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining
- Application of DatasetGAN in medical imaging: preliminary studies
- Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
- PheroCom: Decentralised and asynchronous swarm robotics coordination based on virtual pheromone and vibroacoustic communication
- Federated Online Sparse Decision Making
- Graph-Assisted Communication-Efficient Ensemble Federated Learning
- The Unfairness of Popularity Bias in Book Recommendation
- Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond
- A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
- Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
- Distribution Preserving Graph Representation Learning
- Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction
- Bayesian Active Learning for Discrete Latent Variable Models
- The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
- Asymptotic Theory of Geometric and Adaptive k-Means Clustering
- Taming the Long Tail of Deep Probabilistic Forecasting
- Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
- A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning
- Concept Graph Neural Networks for Surgical Video Understanding
- A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models
- PanoFlow: Learning 360deg Optical Flow for Surrounding Temporal Understanding
- Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
- Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images
- Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
- Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
- Benign Underfitting of Stochastic Gradient Descent
- Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
- HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
- Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption
- A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients
- Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
- Towards Robust Off-policy Learning for Runtime Uncertainty
- Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast
- Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component
- DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
- Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
- Bayesian Robust Tensor Ring Model for Incomplete Multiway Data
- An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search
- Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
- Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation
- Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes
- The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
- DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
- Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
- A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management
- Learning the Beauty in Songs: Neural Singing Voice Beautifier
- A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images
- OCR Improves Machine Translation for Low-Resource Languages
- Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform
- Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects
- Controllable Natural Language Generation with Contrastive Prefixes
- Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio
- DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition
- Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization