Papers
Thu 19 Jan 2023
114 papers
- MedSegDiff-V2: Diffusion based Medical Image Segmentation with TransformerDiffusion models → Medical imaging and segmentation
- The role of noise in denoising models for anomaly detection in medical imagesDiffusion models → Medical imaging and segmentation
- Self-Supervised Learning from Images with a Joint-Embedding Predictive ArchitectureWorld models → Latent predictive world models
- Keyframe Demonstration Seeded and Bayesian Optimized Policy SearchOffline RL and imitation learning from data → Robot learning from demonstration
- RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Fast Inference in Denoising Diffusion Models via MMD FinetuningDiffusion models → Diffusion foundations and sampling
- Mathematical analysis of singularities in the diffusion model under the submanifold assumptionDiffusion models → Diffusion foundations and sampling
- Surface Recognition for e-Scooter Using Smartphone IMU Sensor
- On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
- A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football (Soccer)
- Dataset Bias in Human Activity Recognition
- Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
- Batch Prompting: Efficient Inference with Large Language Model APIs
- Reversing The Twenty Questions Game
- The Lost Art of Mathematical Modelling
- Hybrid Open-set Segmentation with Synthetic Negative Data
- Domain-adapted Learning and Imitation: DRL for Power Arbitrage
- Sentiment Analysis for Measuring Hope and Fear from Reddit Posts During the 2022 Russo-Ukrainian Conflict
- Advanced Scaling Methods for VNF deployment with Reinforcement Learning
- Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain
- Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference
- Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
- Forecasting subcritical cylinder wakes with Fourier Neural Operators
- An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model
- The necessity of depth for artificial neural networks to approximate certain classes of smooth and bounded functions without the curse of dimensionality
- A Survey of research in Deep Learning for Robotics for Undergraduate research interns
- Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
- Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug
- Causal conditional hidden Markov model for multimodal traffic prediction
- Multiview Compressive Coding for 3D Reconstruction
- Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
- LoCoNet: Long-Short Context Network for Active Speaker Detection
- Efficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks
- Score-based Causal Representation Learning with Interventions
- Estimating Remaining Lifespan from the Face
- Diffusion-based Conditional ECG Generation with Structured State Space Models
- Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
- Everything is Connected: Graph Neural Networks
- GIPA: A General Information Propagation Algorithm for Graph Learning
- An SDE for Modeling SAM: Theory and Insights
- Differentially Private Online Bayesian Estimation With Adaptive Truncation
- JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
- Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
- Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
- A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
- Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery
- Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating
- On the Vulnerability of Backdoor Defenses for Federated Learning
- Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
- DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
- FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
- Semiparametric inference using fractional posteriors
- SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots
- SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines
- Global mapping of fragmented rocks on the Moon with a neural network: Implications for the failure mode of rocks on airless surfaces
- RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation
- Regularising disparity estimation via multi task learning with structured light reconstruction
- Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
- Convergence beyond the over-parameterized regime using Rayleigh quotients
- Language Embeddings Sometimes Contain Typological Generalizations
- Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study
- Soft Thresholding for Visual Image Enhancement
- AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
- Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community
- Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems
- Shapley Values with Uncertain Value Functions
- On backpropagating Hessians through ODEs
- Interpreting CNN Predictions using Conditional Generative Adversarial Networks
- Position Regression for Unsupervised Anomaly Detection
- Reference Guided Image Inpainting using Facial Attributes
- Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case
- A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams
- Multi-Agent Interplay in a Competitive Survival Environment
- A Tutorial on Meta-Reinforcement Learning
- Generalization through Diversity: Improving Unsupervised Environment Design
- Identification, explanation and clinical evaluation of hospital patient subtypes
- Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms
- Improving Machine Translation with Phrase Pair Injection and Corpus Filtering
- Keyword Embeddings for Query Suggestion
- Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions
- SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify
- Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
- RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes
- Point Cloud Data Simulation and Modelling with Aize Workspace
- Job recommendations: benchmarking of collaborative filtering methods for classifieds
- PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
- Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition
- CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
- Hamiltonian Neural Networks with Automatic Symmetry Detection
- Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning
- Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection
- Spatio-Temporal Context Modeling for Road Obstacle Detection
- Semantic-aware Contrastive Learning for More Accurate Semantic Parsing
- Subject-Independent Classification of Brain Signals using Skip Connections
- Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers
- A Nonstochastic Control Approach to Optimization
- Spatially Covariant Lesion Segmentation
- Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition
- Unposed: Unsupervised Pose Estimation based Product Image Recommendations
All 114
- Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
- Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception
- MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
- Discover governing differential equations from evolving systems
- Improving Food Detection For Images From a Wearable Egocentric Camera
- Robust Gaussian Process Regression with Huber Likelihood
- FE-TCM: Filter-Enhanced Transformer Click Model for Web Search
- From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
- Concept Discovery for Fast Adapatation
- ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection
- Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
- Spatio-temporal neural structural causal models for bike flow prediction
- Masked Autoencoding Does Not Help Natural Language Supervision at Scale
- Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits