Papers
Tue 13 Sep 2022
158 papers
- PET image denoising based on denoising diffusion probabilistic modelsDiffusion models → Medical imaging and segmentation
- Sparse Video Representation Using Steered Mixture-of-Experts With Global Motion CompensationMixture-of-experts → Vision mixture-of-experts
- MDM: Molecular Diffusion Model for 3D Molecule GenerationDiffusion models → Flow matching, time series and science
- Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation
- Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations
- Molecular Design Based on Integer Programming and Quadratic Descriptors in a Two-layered Model
- Inclusive Ethical Design for Recommender Systems
- Fast online ranking with fairness of exposure
- Realistic Hair Synthesis with Generative Adversarial Networks
- Subsampling for Knowledge Graph Embedding Explained
- AI-powered Language Assessment Tools for Dementia
- Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models
- Detection of Malicious Websites Using Machine Learning Techniques
- A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks
- DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
- OCR for TIFF Compressed Document Images Directly in Compressed Domain Using Text segmentation and Hidden Markov Model
- SFS-A68: a dataset for the segmentation of space functions in apartment buildings
- Improving Language Model Prompting in Support of Semi-autonomous Task Learning
- Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey
- A Benchmark and a Baseline for Robust Multi-view Depth Estimation
- A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem
- CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
- Revisiting Neural Scaling Laws in Language and Vision
- A Clustering Method Based on Information Entropy Payload
- Prediction of the outcome of a Twenty-20 Cricket Match : A Machine Learning Approach
- CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification
- Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning
- Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization
- Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots
- FaceTopoNet: Facial Expression Recognition using Face Topology Learning
- Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance
- Quantitative AI Risk Assessments: Opportunities and Challenges
- Optimizing SLAM Evaluation Footprint Through Dynamic Range Coverage Analysis of Datasets
- Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes
- Optimization without Backpropagation
- PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models
- Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican
- Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest
- Multiple View Performers for Shape Completion
- Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning
- PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically
- MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks
- Exploring Code Style Transfer with Neural Networks
- High-resolution semantically-consistent image-to-image translation
- Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory
- Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
- Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
- A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
- CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
- Improving Self-Supervised Learning by Characterizing Idealized Representations
- Quantifying the Online Long-Term Interest in Research
- Predicting probability distributions for cancer therapy drug selection optimization
- Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
- Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold
- Normalizing Flows for Interventional Density Estimation
- StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
- HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
- Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
- Tractable hierarchies of convex relaxations for polynomial optimization on the nonnegative orthant
- Comparative analysis of segmentation and generative models for fingerprint retrieval task
- Computational Sarcasm Analysis on Social Media: A Systematic Review
- The Role of Explanatory Value in Natural Language Processing
- Borch: A Deep Universal Probabilistic Programming Language
- Meta-Gradients in Non-Stationary Environments
- LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
- Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition
- Deep Variational Free Energy Approach to Dense Hydrogen
- Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
- Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's
- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
- DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
- SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds
- Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification
- SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
- Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law
- Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans
- DMTNet: Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer
- Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets
- Generalized Intent Discovery: Learning from Open World Dialogue System
- Two-Step Color-Polarization Demosaicking Network
- An Analysis of Collocation on GPUs for Deep Learning Training
- Virtual Underwater Datasets for Autonomous Inspections
- Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
- M2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection
- Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
- Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
- A Distributed Acoustic Sensor System for Intelligent Transportation using Deep Learning
- Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
- Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation
- Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
- Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
- Variational Causal Inference
- Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization
- SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
- Document Image Binarization in JPEG Compressed Domain using Dual Discriminator Generative Adversarial Networks
- Dual-Scale Single Image Dehazing Via Neural Augmentation
- Computer vision based vehicle tracking as a complementary and scalable approach to RFID tagging
- Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification
- A Meta-level Analysis of Online Anomaly Detectors
- Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation
All 158
- Federated Meta-Learning for Traffic Steering in O-RAN
- Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
- Calibrated Forecasts: The Minimax Proof
- Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search
- A new Reinforcement Learning framework to discover natural flavor molecules
- Just Noticeable Difference Modeling for Face Recognition System
- Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition
- Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction
- Continuous Design Control for Machine Learning in Certified Medical Systems
- Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
- Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows
- SATViz: Real-Time Visualization of Clausal Proofs
- Computer vision system to count crustacean larvae
- Sparse deep neural networks for modeling aluminum electrolysis dynamics
- Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases
- CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination
- A Non-Parametric Bootstrap for Spectral Clustering
- Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
- Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification
- Time-of-Day Neural Style Transfer for Architectural Photographs
- A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking
- Adversarial Coreset Selection for Efficient Robust Training
- Test-Time Adaptation with Principal Component Analysis
- Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations
- A lightweight Transformer-based model for fish landmark detection
- Exemplar-Based Image Colorization with A Learning Framework
- PointScatter: Point Set Representation for Tubular Structure Extraction
- CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
- Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging
- Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm
- A virtual reality-based method for examining audiovisual prosody perception
- A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
- SkIn: Skimming-Intensive Long-Text Classification Using BERT for Medical Corpus
- Learning ASR pathways: A sparse multilingual ASR model
- Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs
- R'enyi Divergence Deep Mutual Learning
- A Many-ported and Shared Memory Architecture for High-Performance ADAS SoCs
- A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review
- Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics
- Concealing Sensitive Samples against Gradient Leakage in Federated Learning
- A Capsule Network for Hierarchical Multi-Label Image Classification
- Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy
- Robin: A Novel Online Suicidal Text Corpus of Substantial Breadth and Scale
- Non-Parametric Temporal Adaptation for Social Media Topic Classification
- Vision Transformers for Action Recognition: A Survey
- KSG: Knowledge and Skill Graph
- Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement
- Sample Complexity of an Adversarial Attack on UCB-based Best-arm Identification Policy
- Concept-Based Explanations for Tabular Data
- PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers
- One-shot Network Pruning at Initialization with Discriminative Image Patches
- Switchable Self-attention Module
- Class-Level Logit Perturbation
- CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models
- Unsupervised representation learning with recognition-parametrised probabilistic models
- Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters
- ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
- Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos