Papers
Sun 28 Nov 2021
75 papers
- Deep Molecular Representation Learning via Fusing Physical and Chemical Information
- Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices
- Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body Problem
- Gram Barcodes for Histopathology Tissue Texture Retrieval
- Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images
- Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction
- Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
- ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification
- Automated Detection of Patients in Hospital Video Recordings
- Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method
- Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction
- False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey
- Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain
- Fed2: Feature-Aligned Federated Learning
- A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
- Schema matching using Gaussian mixture models with Wasserstein distance
- EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox
- Low-complexity Rounded KLT Approximation for Image Compression
- Long-range and hierarchical language predictions in brains and algorithms
- On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion
- Approximate Inference via Clustering
- Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
- On Predicting Generalization using GANs
- Emergent Graphical Conventions in a Visual Communication Game
- Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning
- How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey
- Transfer Learning with Jukebox for Music Source Separation
- Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
- An Empirical Study of Topic Transition in Dialogue
- Code Clone Detection based on Event Embedding and Event Dependency
- Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
- Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents
- UAV-based Crowd Surveillance in Post COVID-19 Era
- CDGNet: Class Distribution Guided Network for Human Parsing
- Mapping Industry 4.0 Technologies: From Cyber-Physical Systems to Artificial Intelligence
- Learning To Segment Dominant Object Motion From Watching Videos
- Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization
- Implicit Equivariance in Convolutional Networks
- Learning Physical Concepts in Cyber-Physical Systems: A Case Study
- Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes
- FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation
- Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses and Rebars
- Learning a Weight Map for Weakly-Supervised Localization
- AirSPEC: An IoT-empowered Air Quality Monitoring System integrated with a Machine Learning Framework to Detect and Predict defined Air Quality parameters
- Cross-Task Consistency Learning Framework for Multi-Task Learning
- Imbalanced data preprocessing techniques utilizing local data characteristics
- Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems
- Enhancing Identification of Structure Function of Academic Articles Using Contextual Information
- Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
- CHARTER: heatmap-based multi-type chart data extraction
- Gated SwitchGAN for multi-domain facial image translation
- Topic Driven Adaptive Network for Cross-Domain Sentiment Classification
- Adaptive Reordering Sampler with Neurally Guided MAGSAC
- Multicriteria interpretability driven Deep Learning
- A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results
- Image preprocessing and modified adaptive thresholding for improving OCR
- Escape saddle points by a simple gradient-descent based algorithm
- PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
- Natural Language and Spatial Rules
- P4AI: Approaching AI Ethics through Principlism
- Detection of E-scooter Riders in Naturalistic Scenes
- NoFADE: Analyzing Diminishing Returns on CO2 Investment
- Towards Robust and Automatic Hyper-Parameter Tunning
- ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection
- Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics
- Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
- Neural Tangent Kernel of Matrix Product States: Convergence and Applications
- Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets
- Learning Wildfire Model from Incomplete State Observations
- ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning
- FastTrees: Parallel Latent Tree-Induction for Faster Sequence Encoding
- AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis
- Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
- Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
- Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information