Papers
Sun 2 Jan 2022
40 papers
- DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional LatentsDiffusion models → Diffusion foundations and sampling
- Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers
- Building Human-like Communicative Intelligence: A Grounded Perspective
- Matrix Completion with Hierarchical Graph Side Information
- Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
- Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks
- Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluids
- TVNet: Temporal Voting Network for Action Localization
- Image Denoising with Control over Deep Network Hallucination
- Deep Learning and Linear Programming for Automated Ensemble Forecasting and Interpretation
- Splicing ViT Features for Semantic Appearance Transfer
- Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
- FUSeg: The Foot Ulcer Segmentation Challenge
- The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents
- Global convergence of optimized adaptive importance samplers
- Fast and High-Quality Image Denoising via Malleable Convolutions
- On the convex hull of convex quadratic optimization problems with indicators
- On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
- Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario
- ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
- Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms
- Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning
- Topical Classification of Food Safety Publications with a Knowledge Base
- Establishing Strong Baselines for TripClick Health Retrieval
- Semi-Supervised Graph Attention Networks for Event Representation Learning
- Theory and Practice of Quality Assurance for Machine Learning Systems An Experiment Driven Approach
- Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference
- The Interpretability of LSTM Models for Predicting Oil Company Stocks: Impact of Correlated Features
- Detail-Preserving Transformer for Light Field Image Super-Resolution
- Riemannian Nearest-Regularized Subspace Classification for Polarimetric SAR images
- V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network
- On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations
- Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
- Informed Multi-context Entity Alignment
- Improving Out-of-Distribution Robustness via Selective Augmentation
- Fair Data Representation for Machine Learning at the Pareto Frontier
- Reinforcement Learning for Task Specifications with Action-Constraints
- Applications of Gaussian Mutation for Self Adaptation in Evolutionary Genetic Algorithms
- Thinking inside the box: A tutorial on grey-box Bayesian optimization
- On the Cross-dataset Generalization in License Plate Recognition