Papers
Wed 28 Dec 2022
107 papers
- Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPRetrieval-augmented generation → Generation and context integration
- Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced ConstraintsOffline RL and imitation learning from data → Offline RL algorithms
- Exploring Vision Transformers as Diffusion LearnersDiffusion models → Diffusion foundations and sampling
- Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
- Enhancing Neural Network Differential Equation Solvers
- Super forecasting the technological singularity risks from artificial intelligence
- Sparse Coding in a Dual Memory System for Lifelong Learning
- Need of 6G for the Metaverse Realization
- Emotion in Cognitive Architecture: Emergent Properties from Interactions with Human Emotion
- VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume
- The Improvement of Decision Tree Construction Algorithm Based On Quantum Heuristic Algorithms
- Bayesian statistical learning using density operators
- A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems
- Towards AI-Empowered Crowdsourcing
- Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction
- Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses
- CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation
- Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization
- Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm
- Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks
- Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data
- Learning Representations for Masked Facial Recovery
- Joint Discriminative and Metric Embedding Learning for Person Re-Identification
- Provable Robust Saliency-based Explanations
- Towards automating Codenames spymasters with deep reinforcement learning
- Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation
- Leveraging World Knowledge in Implicit Hate Speech Detection
- Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning
- Wormhole MAML: Meta-Learning in Glued Parameter Space
- Multimodal Explainability via Latent Shift applied to COVID-19 stratification
- A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
- Quantum-Inspired Tensor Neural Networks for Option Pricing
- Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection Criteria
- Measuring and Estimating Key Quality Indicators in Cloud Gaming services
- Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
- On the Convergence of Discounted Policy Gradient Methods
- Hungry Hungry Hippos: Towards Language Modeling with State Space Models
- Proof of Swarm Based Ensemble Learning for Federated Learning Applications
- Differentiable Search of Accurate and Robust Architectures
- Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring
- Cramming: Training a Language Model on a Single GPU in One Day
- How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection
- On Implicit Bias in Overparameterized Bilevel Optimization
- A System-Level View on Out-of-Distribution Data in Robotics
- Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems
- Anxolotl, an Anxiety Companion App -- Stress Detection
- Robustifying Markowitz
- Persistence-based operators in machine learning
- Towards Learning Abstractions via Reinforcement Learning
- TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning
- Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
- CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans
- Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks
- Beyond the Golden Ratio for Variational Inequality Algorithms
- RevealED: Uncovering Pro-Eating Disorder Content on Twitter Using Deep Learning
- A Segmentation Method for fluorescence images without a machine learning approach
- HeATed Alert Triage (HeAT): Transferrable Learning to Extract Multistage Attack Campaigns
- Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification
- Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
- On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
- Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset
- Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features
- Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain
- Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks
- Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
- Representation Learning in Deep RL via Discrete Information Bottleneck
- Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
- Multi-Realism Image Compression with a Conditional Generator
- Don't do it: Safer Reinforcement Learning With Rule-based Guidance
- All's well that FID's well? Result quality and metric scores in GAN models for lip-sychronization tasks
- Swin MAE: Masked Autoencoders for Small Datasets
- Periocular Biometrics: A Modality for Unconstrained Scenarios
- StyleID: Identity Disentanglement for Anonymizing Faces
- Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images
- SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
- Lexicographic Multi-Objective Reinforcement Learning
- Learning to Detect Noisy Labels Using Model-Based Features
- OVO: One-shot Vision Transformer Search with Online distillation
- Representation Separation for Semantic Segmentation with Vision Transformers
- Distribution Estimation of Contaminated Data via DNN-based MoM-GANs
- TempCLR: Temporal Alignment Representation with Contrastive Learning
- Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation
- Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels
- A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
- Robust Sequence Networked Submodular Maximization
- MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
- Continuous Depth Recurrent Neural Differential Equations
- Building Segmentation on Satellite Images and Performance of Post-Processing Methods
- PersonaSAGE: A Multi-Persona Graph Neural Network
- Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
- End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
- Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism
- Publishing Efficient On-device Models Increases Adversarial Vulnerability
- Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing
- Shape-Aware Fine-Grained Classification of Erythroid Cells
- Parsing Objects at a Finer Granularity: A Survey
- Efficient Semantic Segmentation on Edge Devices
- Part-guided Relational Transformers for Fine-grained Visual Recognition
- CC-FedAvg: Computationally Customized Federated Averaging
All 107
- A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation
- Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
- Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
- Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles
- NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
- Latent Discretization for Continuous-time Sequence Compression
- Large-scale single-photon imaging