Papers
Wed 11 Jan 2023
138 papers
- Causal Abstraction: A Theoretical Foundation for Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- ChatGPT is not all you need. A State of the Art Review of large Generative AI modelsDiffusion models → Image generation, text-to-image and editing
- Synthetic data generation method for data-free knowledge distillation in regression neural networksKnowledge distillation → General knowledge distillation methods
- Determination of cutting positions of honeycomb blocks using computer vision
- Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks
- Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations
- Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics
- From Robots to Books: An Introduction to Smart Applications of AI in Education (AIEd)
- Prostate Lesion Estimation using Prostate Masks from Biparametric MRI
- Rig Inversion by Training a Differentiable Rig Function
- Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
- Factors other than climate change are currently more important in predicting how well fruit farms are doing financially
- Constrained Serial Dictatorships can be Fair
- Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
- Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling
- Online Hyperparameter Optimization for Class-Incremental Learning
- MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
- SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
- Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder
- Private estimation algorithms for stochastic block models and mixture models
- Analyzing Inexact Hypergradients for Bilevel Learning
- NarrowBERT: Accelerating Masked Language Model Pretraining and Inference
- Semantic Web Enabled Geographic Question Answering Framework: GeoTR
- Artificial Intelligence Generated Coins for Size Comparison
- LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking
- Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning
- HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
- Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
- The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
- AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
- Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces
- How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers?
- Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation
- SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
- On Modeling Network Slicing Communication Resources with SARSA Optimization
- Learning Continuous Mesh Representation with Spherical Implicit Surface
- SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
- Anomalies, Representations, and Self-Supervision
- Optirank: classification for RNA-Seq data with optimal ranking reference genes
- Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
- Geometry-biased Transformers for Novel View Synthesis
- Head-Free Lightweight Semantic Segmentation with Linear Transformer
- EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata
- Does progress on ImageNet transfer to real-world datasets?
- tieval: An Evaluation Framework for Temporal Information Extraction Systems
- Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
- Street-View Image Generation from a Bird's-Eye View Layout
- Federated Learning under Heterogeneous and Correlated Client Availability
- Deep Residual Axial Networks
- ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation
- Image-to-Image Translation with Disentangled Latent Vectors for Face Editing
- Deep Axial Hypercomplex Networks
- Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication
- TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation
- Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning
- Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
- Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
- Padding Module: Learning the Padding in Deep Neural Networks
- Modelling low-resource accents without accent-specific TTS frontend
- Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
- LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
- Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
- Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery
- Analyzing And Improving Neural Speaker Embeddings for ASR
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
- Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis
- AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
- Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures
- Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings
- The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
- Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration
- Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM
- A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts
- Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare
- A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
- Pruning Compact ConvNets for Efficient Inference
- Dynamic Background Reconstruction via MAE for Infrared Small Target Detection
- Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains
- Fast conformational clustering of extensive molecular dynamics simulation data
- WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learning
- Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
- BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
- Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
- An Analysis of Quantile Temporal-Difference Learning
- Fast spline detection in high density microscopy data
- Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks
- Uncertainty Estimation based on Geometric Separation
- Heterogeneous Tri-stream Clustering Network
- Diving Deep into Modes of Fact Hallucinations in Dialogue Systems
- VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection
- An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information
- Multilingual Entity and Relation Extraction from Unified to Language-specific Training
- Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
- Network Adaptive Federated Learning: Congestion and Lossy Compression
- Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset
- Optical Flow for Autonomous Driving: Applications, Challenges and Improvements
- Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
- Combining Self-labeling with Selective Sampling
- pyssam -- a Python library for statistical modelling of biomedical shape and appearance
- How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
All 138
- GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
- GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities
- A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
- Secure access system using signature verification over tablet PC
- An atrium segmentation network with location guidance and siamese adjustment
- Perceive and predict: self-supervised speech representation based loss functions for speech enhancement
- Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks
- Loss-Controlling Calibration for Predictive Models
- Recognising geometric primitives in 3D point clouds of mechanical CAD objects
- On the functional form of the radial acceleration relation
- Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
- Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments
- Counteracts: Testing Stereotypical Representation in Pre-trained Language Models
- Robust Bayesian Target Value Optimization
- A Meta Path-based Approach for Rumor Detection on Social Media
- Proportional Fairness in Obnoxious Facility Location
- Topics in Contextualised Attention Embeddings
- An Overview of Artificial Intelligence-based Soft Upper Limb Exoskeleton for Rehabilitation: A Descriptive Review
- Learnable Path in Neural Controlled Differential Equations
- Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
- Dual Learning for Large Vocabulary On-Device ASR
- Rethinking complex-valued deep neural networks for monaural speech enhancement
- Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
- Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique
- SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
- Age of Information in Deep Learning-Driven Task-Oriented Communications
- A Possible Converter to Denoise the Images of Exoplanet Candidates through Machine Learning Techniques
- Generic Event Boundary Detection in Video with Pyramid Features
- MGeo: Multi-Modal Geographic Pre-Training Method
- LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention
- Data Distillation: A Survey
- Adversarial Online Multi-Task Reinforcement Learning
- Adversarial Alignment for Source Free Object Detection
- Towards Microstructural State Variables in Materials Systems
- CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
- ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
- Towards Answering Climate Questionnaires from Unstructured Climate Reports
- Application of machine learning to gas flaring