Papers
Tue 6 Sep 2022
146 papers
- A Survey on Generative Diffusion ModelDiffusion models → Diffusion foundations and sampling
- From Black Boxes to Conversations: Incorporating XAI in a Conversational AgentLLM reasoning → Reasoning benchmarks and evaluation
- ViTKD: Practical Guidelines for ViT feature knowledge distillationKnowledge distillation → General knowledge distillation methods
- A Survey of Machine UnlearningLLM safety and security → Machine unlearning
- Personalized Game Difficulty Prediction Using Factorization Machines
- Predicting Customer Lifetime Value in Free-to-Play Games
- Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth Mapping
- A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction
- Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
- The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory
- User recommendation system based on MIND dataset
- Hierarchical Conversational Preference Elicitation with Bandit Feedback
- A Scalable Recommendation Engine for New Users and Items
- Monkeypox virus detection using pre-trained deep learning-based approaches
- Improved Sensor-Based Animal Behavior Classification Performance through Conditional Generative Adversarial Network
- 1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers
- The HoloLens in Medicine: A systematic Review and Taxonomy
- Avast-CTU Public CAPE Dataset
- Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games
- MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
- A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance & heterogeneous noise
- Video Restoration with a Deep Plug-and-Play Prior
- Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning
- DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for Digital Art
- ASR2K: Speech Recognition for Around 2000 Languages without Audio
- A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
- Studying Bias in GANs through the Lens of Race
- Unsupervised Scene Sketch to Photo Synthesis
- Annealing Optimization for Progressive Learning with Stochastic Approximation
- CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
- Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation
- Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation
- Use and Misuse of Machine Learning in Anthropology
- Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection
- "Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-"ubergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie
- Read it to me: An emotionally aware Speech Narration Application
- Multi-skill Mobile Manipulation for Object Rearrangement
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
- Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach
- Change Detection for Local Explainability in Evolving Data Streams
- A Data Science Approach to Risk Assessment for Automobile Insurance Policies
- Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
- Handcrafted Feature Selection Techniques for Pattern Recognition: A Survey
- Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach
- Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
- Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification
- OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction
- Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
- Statistical Foundation Behind Machine Learning and Its Impact on Computer Vision
- Classification Protocols with Minimal Disclosure
- Unpaired Image Translation via Vector Symbolic Architectures
- Neural Networks Optimized by Genetic Algorithms in Cosmology
- Bag of Tricks for FGSM Adversarial Training
- How important are activation functions in regression and classification? A survey, performance comparison, and future directions
- Risk Aware Adaptive Belief-dependent Probabilistically Constrained Continuous POMDP Planning
- Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
- Bayesian Statistical Model Checking for Multi-agent Systems using HyperPCTL*
- Concentration of polynomial random matrices via Efron-Stein inequalities
- Learning Interpretable Temporal Properties from Positive Examples Only
- Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
- Weak Collocation Regression method: fast reveal hidden stochastic dynamics from high-dimensional aggregate data
- Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data
- Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification
- Deep filter bank regression for super-resolution of anisotropic MR brain images
- Merged-GHCIDR: Geometrical Approach to Reduce Image Data
- Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction
- Unifying Generative Models with GFlowNets and Beyond
- Domain Engineering for Applied Monocular Reconstruction of Parametric Faces
- Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
- Cross Modal Compression: Towards Human-comprehensible Semantic Compression
- When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
- Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery
- Project proposal: A modular reinforcement learning based automated theorem prover
- The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery
- Finite-Time Error Bounds for Greedy-GQ
- Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN
- Efficient search of active inference policy spaces using k-means
- CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion
- Semantic Image Synthesis with Semantically Coupled VQ-Model
- Analyzing Transformers in Embedding Space
- Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
- Generalisation under gradient descent via deterministic PAC-Bayes
- UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval
- Sequential Cross Attention Based Multi-task Learning
- Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
- Semi-Supervised Clustering via Dynamic Graph Structure Learning
- "Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations
- MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation
- Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification
- Surya Namaskar: real-time advanced yoga pose recognition and correction for smart healthcare
- Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors
- Segment Augmentation and Differentiable Ranking for Logo Retrieval
- Comparing Methods for Extractive Summarization of Call Centre Dialogue
- Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation
- Monolingual alignment of word senses and definitions in lexicographical resources
- Finite-Cliquewidth Sets of Existential Rules: Toward a General Criterion for Decidable yet Highly Expressive Querying
- Rethinking The Memory Staleness Problem In Dynamics GNN
- Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
- Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks
- Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection
All 146
- SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings
- Threat Detection In Self-Driving Vehicles Using Computer Vision
- Cross apprenticeship learning framework: Properties and solution approaches
- Jeopardy: An Invertible Functional Programming Language
- A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed Real-World Data
- Understanding and Reducing Crater Counting Errors in Citizen Science Data and the Need for Standardisation
- Continual Learning, Fast and Slow
- Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
- Finger Multimodal Feature Fusion and Recognition Based on Channel Spatial Attention
- EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
- TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World
- Multimodal contrastive learning for remote sensing tasks
- Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?
- Wavelet-based Loss for High-frequency Interface Dynamics
- A first-order logic characterization of safety and co-safety languages
- Rates of Convergence for Regression with the Graph Poly-Laplacian
- SIND: A Drone Dataset at Signalized Intersection in China
- High Dynamic Range Image Quality Assessment Based on Frequency Disparity
- Progressive Glass Segmentation
- Automated Defect Recognition of Castings defects using Neural Networks
- Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition
- Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy
- An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation
- Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding
- Faster federated optimization under second-order similarity
- Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
- External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue Systems
- Spatio-Temporal Action Detection Under Large Motion
- Machine Learning For Classification Of Antithetical Emotional States
- An evaluation of U-Net in Renal Structure Segmentation
- The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems
- PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
- Real-Time Cattle Interaction Recognition via Triple-stream Network
- USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretch
- Reference Resolution and Context Change in Multimodal Situated Dialogue for Exploring Data Visualizations
- Multi-Armed Bandits with Self-Information Rewards
- High Speed Rotation Estimation with Dynamic Vision Sensors
- Few-Shot Document-Level Event Argument Extraction
- What to Prune and What Not to Prune at Initialization
- Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
- LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
- A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images
- Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
- Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
- CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal
- Impact analysis of recovery cases due to COVID19 using LSTM deep learning model