Papers
Sat 5 Mar 2022
70 papers
- Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image ReconstructionDiffusion models → Medical imaging and segmentation
- Cosine Model Watermarking Against Ensemble DistillationLLM safety and security → Watermarking generated content and models
- Consistent Representation Learning for Continual Relation ExtractionKnowledge distillation → Distillation for continual learning
- RACE: Retrieval-Augmented Commit Message GenerationRetrieval-augmented generation → RAG for code
- AI-aided Traffic Control Scheme for M2M Communications in the Internet of Vehicles
- WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
- KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios
- Coordinate Translator for Learning Deformable Medical Image Registration
- FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation
- Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement
- Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion
- Recursive Monte Carlo and Variational Inference with Auxiliary Variables
- Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
- Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs
- Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers
- Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images
- Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election
- Off-Policy Evaluation in Embedded Spaces
- Object-centric Process Predictive Analytics
- ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
- Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis
- Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
- A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
- Boosting human decision-making with AI-generated decision aids
- Rib Suppression in Digital Chest Tomosynthesis
- Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
- Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
- Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
- DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN
- Feeding What You Need by Understanding What You Learned
- MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
- The Impact of Differential Privacy on Group Disparity Mitigation
- Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
- MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
- An End-to-End Approach for Seam Carving Detection using Deep Neural Networks
- A Novel Dual Dense Connection Network for Video Super-resolution
- Bayesian Learning Approach to Model Predictive Control
- Towards Efficient and Scalable Sharpness-Aware Minimization
- Meta Mirror Descent: Optimiser Learning for Fast Convergence
- High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
- Boosting the Learning for Ranking Patterns
- Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
- ℓ1DecNet+: A new architecture framework by ℓ1 decomposition and iteration unfolding for sparse feature segmentation
- Federated and Generalized Person Re-identification through Domain and Feature Hallucinating
- Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
- Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones
- The Proof is in the Pudding: Using Automated Theorem Proving to Generate Cooking Recipes
- Just Rank: Rethinking Evaluation with Word and Sentence Similarities
- NeuralDPS: Neural Deterministic Plus Stochastic Model with Multiband Excitation for Noise-Controllable Waveform Generation
- A Similarity-based Framework for Classification Task
- Cross Language Image Matching for Weakly Supervised Semantic Segmentation
- Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
- Koopman operator for time-dependent reliability analysis
- Deep Partial Multiplex Network Embedding
- Audio-visual speech separation based on joint feature representation with cross-modal attention
- A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
- Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models
- Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
- Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
- Acceleration of Federated Learning with Alleviated Forgetting in Local Training
- Safe Reinforcement Learning for Legged Locomotion
- Boosting Crowd Counting via Multifaceted Attention
- Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes
- Important Object Identification with Semi-Supervised Learning for Autonomous Driving
- Extracting linguistic speech patterns of Japanese fictional characters using subword units
- Target Network and Truncation Overcome The Deadly Triad in Q-Learning
- Scaling R-GCN Training with Graph Summarization
- Low-cost prediction of molecular and transition state partition functions via machine learning
- How to Train Unstable Looped Tensor Network
- Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation