Papers
Sun 7 Aug 2022
80 papers
- Label Semantic Knowledge Distillation for Unbiased Scene Graph GenerationKnowledge distillation → Detection and dense prediction distillation
- Use of BNNM for interference wave solutions of the gBS-like equation and comparison with PINNs
- A neuromorphic approach to image processing and machine vision
- A machine learning approach to predict the structural and magnetic properties of Heusler alloy families
- SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling
- Are Gradients on Graph Structure Reliable in Gray-box Attacks?
- U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
- A physically-informed Deep-Learning approach for locating sources in a waveguide
- Mining Reaction and Diffusion Dynamics in Social Activities
- Quantization enabled Privacy Protection in Decentralized Stochastic Optimization
- PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
- Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution
- Implementation of fast ICA using memristor crossbar arrays for blind image source separations
- An example of use of Variational Methods in Quantum Machine Learning
- Patient-Specific Game-Based Transfer Method for Parkinson's Disease Severity Prediction
- Counterfactual Fairness Is Basically Demographic Parity
- Artificial Intelligence and Machine Learning for Quantum Technologies
- On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
- Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
- Towards Graph Representation Learning Based Surgical Workflow Anticipation
- Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
- When can I Speak? Predicting initiation points for spoken dialogue agents
- Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
- Distributed Contrastive Learning for Medical Image Segmentation
- Estimating Topic Exposure for Under-Represented Users on Social Media
- Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
- Global Hierarchical Attention for 3D Point Cloud Analysis
- Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
- Sample hardness based gradient loss for long-tailed cervical cell detection
- Stochastic Scaling in Loss Functions for Physics-Informed Neural Networks
- Video-based Human Action Recognition using Deep Learning: A Review
- Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
- Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
- An Empirical Analysis of the Laplace and Neural Tangent Kernels
- Exploring Long- and Short-Range Temporal Information for Learned Video Compression
- Learning Modular Structures That Generalize Out-of-Distribution
- PS-NeRV: Patch-wise Stylized Neural Representations for Videos
- Multi-agent reinforcement learning for intent-based service assurance in cellular networks
- Robust Multi-Object Tracking by Marginal Inference
- Human Perception as a Phenomenon of Quantization
- Data Leaves: Scenario-oriented Metadata for Data Federative Innovation
- PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
- Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation
- TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
- Vernacular Search Query Translation with Unsupervised Domain Adaptation
- Adaptive incomplete multi-view learning via tensor graph completion
- Optimal Tracking in Prediction with Expert Advice
- Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
- Granger Causality using Neural Networks
- Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning
- Image denoising in acoustic field microscopy
- A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement
- Preserving Fine-Grain Feature Information in Classification via Entropic Regularization
- On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver
- Kernel Biclustering algorithm in Hilbert Spaces
- See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity
- Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
- N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip Connections
- CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization
- Fast Online and Relational Tracking
- A Game-Theoretic Perspective of Generalization in Reinforcement Learning
- Weakly Supervised Online Action Detection for Infant General Movements
- BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition
- A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
- Generating Negative Samples for Sequential Recommendation
- Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
- No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
- Federated Adversarial Learning: A Framework with Convergence Analysis
- Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part II: Theoretical & Computational Results
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
- Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset
- Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties
- Bias Reducing Multitask Learning on Mental Health Prediction
- Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
- An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems
- Transmission Neural Networks: From Virus Spread Models to Neural Networks
- Improved Point Estimation for the Rayleigh Regression Model
- Blackbox Attacks via Surrogate Ensemble Search
- Continual Learning for Tumor Classification in Histopathology Images
- Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value