Papers
Fri 12 Aug 2022
107 papers
- Sequential Causal Imitation Learning with Unobserved ConfoundersOffline RL and imitation learning from data → Imitation learning methods
- Causal Imitation Learning with Unobserved ConfoundersOffline RL and imitation learning from data → Imitation learning methods
- Diffusion Policies as an Expressive Policy Class for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Non-Autoregressive Sign Language Production via Knowledge DistillationKnowledge distillation → Speech and audio distillation
- A Knowledge Distillation-Based Backdoor Attack in Federated LearningKnowledge distillation → Federated, robust and private distillation
- Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
- Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
- Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations
- Traditional methods in Edge, Corner and Boundary detection
- Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin
- Class-attention Video Transformer for Engagement Intensity Prediction
- RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
- USB: A Unified Semi-supervised Learning Benchmark for Classification
- Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks
- A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies
- Three-Player Game Training Dynamics
- Representation learning for a generalized, quantitative comparison of complex model outputs
- Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
- CycleGAN with three different unpaired datasets
- Automated Utterance Labeling of Conversations Using Natural Language Processing
- Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
- ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs
- Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation
- Occlusion-Robust Multi-Sensory Posture Estimation in Physical Human-Robot Interaction
- View Sub-sampling and Reconstruction for Efficient Light Field Compression
- Real-Time Accident Detection in Traffic Surveillance Using Deep Learning
- LM-CORE: Language Models with Contextually Relevant External Knowledge
- When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
- RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
- CCRL: Contrastive Cell Representation Learning
- Contrastive Learning for Object Detection
- SFF-DA: Sptialtemporal Feature Fusion for Detecting Anxiety Nonintrusively
- Function Classes for Identifiable Nonlinear Independent Component Analysis
- Collective Obfuscation and Crowdsourcing
- AutoShard: Automated Embedding Table Sharding for Recommender Systems
- Autonomous Intelligent Software Development
- Low Emission Building Control with Zero-Shot Reinforcement Learning
- Relational Action Bases: Formalization, Effective Safety Verification, and Invariants (Extended Version)
- Markov Observation Models
- BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
- A Case for Rejection in Low Resource ML Deployment
- RealityTalk: Real-Time Speech-Driven Augmented Presentation for AR Live Storytelling
- On establishing learning separations between classical and quantum machine learning with classical data
- OmniVoxel: A Fast and Precise Reconstruction Method of Omnidirectional Neural Radiance Field
- Multi-Model Probabilistic Programming
- Developing moral AI to support antimicrobial decision making
- EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
- Towards Code Summarization of APIs Based on Unofficial Documentation Using NLP Techniques
- Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT
- Triple-View Feature Learning for Medical Image Segmentation
- dual unet:a novel siamese network for change detection with cascade differential fusion
- Shape Proportions and Sphericity in n Dimensions
- Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation
- RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
- Probabilistic Variational Causal Approach in Observational Studies
- Dynamic Sensor Matching based on Geomagnetic Inertial Navigation
- Unifying Gradients to Improve Real-world Robustness for Deep Networks
- Lattice Generalizations of the Concept of Fuzzy Numbers and Zadeh's Extension Principle
- Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
- A sub-sampling algorithm preventing outliers
- Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data
- What is it like to program with artificial intelligence?
- Measuring incompatibility and clustering quantum observables with a quantum switch
- Image Translation Based Nuclei Segmentation for Immunohistochemistry Images
- Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
- Personalizing or Not: Dynamically Personalized Federated Learning with Incentives
- Exploiting Feature Diversity for Make-up Temporal Video Grounding
- Mining Legal Arguments in Court Decisions
- The Weighting Game: Evaluating Quality of Explainability Methods
- Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition
- DDX7: Differentiable FM Synthesis of Musical Instrument Sounds
- Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
- Dropout is NOT All You Need to Prevent Gradient Leakage
- Layout-Bridging Text-to-Image Synthesis
- Sparse Probability of Agreement
- ALS: Augmented Lagrangian Sketching Methods for Linear Systems
- Unifying local and global model explanations by functional decomposition of low dimensional structures
- Feature-Based Time-Series Analysis in R using the theft Package
- GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
- PRIF: Primary Ray-based Implicit Function
- Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis
- Private Domain Adaptation from a Public Source
- Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis
- Multiplex Heterogeneous Graph Convolutional Network
- An investigation on selecting audio pre-trained models for audio captioning
- A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization
- Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
- Bayesian Inference with Latent Hamiltonian Neural Networks
- Instance Image Retrieval by Learning Purely From Within the Dataset
- An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers
- Facial Expression Recognition and Image Description Generation in Vietnamese
- A Nonparametric Approach with Marginals for Modeling Consumer Choice
- MAIScope: A low-cost portable microscope with built-in vision AI to automate microscopic diagnosis of diseases in remote rural settings
- Automatically Creating a Large Number of New Bilingual Dictionaries
- Motion Sensitive Contrastive Learning for Self-supervised Video Representation
- Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
- Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
- TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
- Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
- A Fast Blockchain-based Federated Learning Framework with Compressed Communications
All 107
- Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection
- On deceiving malware classification with section injection
- Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge
- Domain-invariant Prototypes for Semantic Segmentation
- Contrastive Learning for OOD in Object detection
- Character decomposition to resolve class imbalance problem in Hangul OCR
- Conditional Antibody Design as 3D Equivariant Graph Translation