Papers
Sat 24 Sep 2022
74 papers
- Learn what matters: cross-domain imitation learning with task-relevant embeddingsOffline RL and imitation learning from data → Imitation learning methods
- Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion SkillsEnd-to-end autonomous driving → Reinforcement learning for driving
- Face Super-Resolution Using Stochastic Differential EquationsDiffusion models → Inverse problems and image restoration
- Deep Neural Networks for Visual ReasoningLLM reasoning → Multimodal reasoning
- Fast Lifelong Adaptive Inverse Reinforcement Learning from DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks
- Application of artificial neural network to determine the thickness profile of thin film
- Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression
- Statistical Analysis of Time-Frequency Features Based On Multivariate Synchrosqueezing Transform for Hand Gesture Classification
- How does Imaging Impact Patient Flow in Emergency Departments?
- Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity
- Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
- 3D Reconstruction using Structured Light from off-the-shelf components
- Controllable Text Generation for Open-Domain Creativity and Fairness
- Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics
- Graph Neural Networks for Multi-Robot Active Information Acquisition
- One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
- Climate Impact Modelling Framework
- S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
- Self-supervised Learning for Unintentional Action Prediction
- NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields
- Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?
- Global Semantic Descriptors for Zero-Shot Action Recognition
- From Local to Global: Spectral-Inspired Graph Neural Networks
- Controllable Face Manipulation and UV Map Generation by Self-supervised Learning
- Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning
- Song Emotion Recognition: a Performance Comparison Between Audio Features and Artificial Neural Networks
- Unsupervised domain adaptation for speech recognition with unsupervised error correction
- Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
- Dead or Murdered? Predicting Responsibility Perception in Femicide News Reports
- Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
- Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
- Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models
- Energy-Environment evaluation and Forecast of a Novel Regenerative turboshaft engine combine cycle with DNN application
- Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
- Asset Pricing and Deep Learning
- Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
- Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
- Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
- Explainable Reinforcement Learning via Model Transforms
- Contrastive learning for unsupervised medical image clustering and reconstruction
- Toward Intention Discovery for Early Malice Detection in Bitcoin
- Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
- Gender Bias in Fake News: An Analysis
- Removal of Ocular Artifacts in EEG Using Deep Learning
- Robust Hyperspectral Image Fusion with Simultaneous Guide Image Denoising via Constrained Convex Optimization
- Understanding the Use of Quantifiers in Mandarin
- Ground then Navigate: Language-guided Navigation in Dynamic Scenes
- Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
- A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
- Raising the Bar on the Evaluation of Out-of-Distribution Detection
- TransPOS: Transformers for Consolidating Different POS Tagset Datasets
- Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions
- Hybrid Multimodal Fusion for Humor Detection
- Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?
- Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing
- Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent
- Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation
- Interventional Causal Representation Learning
- DeepChrome 2.0: Investigating and Improving Architectures, Visualizations, & Experiments
- Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
- Concordance based Survival Cobra with regression type weak learners
- A Simple Strategy to Provable Invariance via Orbit Mapping
- A Focused Study on Sequence Length for Dialogue Summarization
- Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
- Speech Enhancement with Perceptually-motivated Optimization and Dual Transformations
- CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
- Learning Chess With Language Models and Transformers
- Two Bicomplex and One Multicomplex Least Mean Square algorithms
- Unsupervised active speaker detection in media content using cross-modal information
- In-context Learning and Induction Heads
- Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
- Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
- DomainATM: Domain Adaptation Toolbox for Medical Data Analysis