Papers
Mon 17 Jan 2022
143 papers
- Towards Adversarial Evaluations for Inexact Machine UnlearningLLM safety and security → Machine unlearning
- Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation SpaceLLM safety and security → Watermarking generated content and models
- An Improved Reinforcement Learning Algorithm for Learning to BranchOffline RL and imitation learning from data → Imitation learning methods
- A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron
- Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
- Sequential Item Recommendation in the MOBA Game Dota 2
- Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images
- Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition
- Convolutional Neural Networks for Spherical Signal Processing via Spherical Haar Tight Framelets
- Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution
- Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction
- Detection of Correlated Alarms Using Graph Embedding
- Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features
- NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
- Text characterization based on recurrence networks
- Learning Neural Ranking Models Online from Implicit User Feedback
- A Literature Survey of Recent Advances in Chatbots
- Generalization in Supervised Learning Through Riemannian Contraction
- Multi-winner Approval Voting Goes Epistemic
- Data-Centric Machine Learning in the Legal Domain
- Equitable Community Resilience: The Case of Winter Storm Uri in Texas
- OmniPrint: A Configurable Printed Character Synthesizer
- HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception
- Towards a Cleaner Document-Oriented Multilingual Crawled Corpus
- Validation of object detection in UAV-based images using synthetic data
- Predicting waves in fluids with deep neural network
- Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability
- Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss
- VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
- Improving the quality control of seismic data through active learning
- A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data
- Inferential Theory for Granular Instrumental Variables in High Dimensions
- Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection
- Fairness in Federated Learning for Spatial-Temporal Applications
- Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
- Collapse by Conditioning: Training Class-conditional GANs with Limited Data
- Neural Computed Tomography
- PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection
- BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
- Automatic Quantification and Visualization of Street Trees
- Millions of Co-purchases and Reviews Reveal the Spread of Polarization and Lifestyle Politics across Online Markets
- Logarithmic Continual Learning
- A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits
- Patterns of near-crash events in a naturalistic driving dataset: applying rules mining
- Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook
- Differentiable Rule Induction with Learned Relational Features
- Distillation from heterogeneous unlabeled collections
- Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
- Growing Neural Network with Shared Parameter
- RuMedBench: A Russian Medical Language Understanding Benchmark
- ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination
- AugLy: Data Augmentations for Robustness
- AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
- Minimax risk classifiers with 0-1 loss
- Handling Compounding in Mobile Keyboard Input
- Chaining Value Functions for Off-Policy Learning
- Principled Diverse Counterfactuals in Multilinear Models
- Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors
- Using machine learning to parametrize postmerger signals from binary neutron stars
- A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval
- Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools
- Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms
- SigGAN : Adversarial Model for Learning Signed Relationships in Networks
- FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images
- A Comparative study of Hyper-Parameter Optimization Tools
- Masked Faces with Faced Masks
- On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
- Lifelong Generative Learning via Knowledge Reconstruction
- Search and Score-based Waterfall Auction Optimization
- Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans
- Spatial State-Action Features for General Games
- Efficient Data-Plane Memory Scheduling for In-Network Aggregation
- Tk-merge: Computationally Efficient Robust Clustering Under General Assumptions
- SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers
- Visual Identification of Problematic Bias in Large Label Spaces
- Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
- Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN
- Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
- Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling
- UWC: Unit-wise Calibration Towards Rapid Network Compression
- RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
- Towards Unsupervised Deep Graph Structure Learning
- Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning
- Disentangled Latent Transformer for Interpretable Monocular Height Estimation
- Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors
- Chatbot System Architecture
- Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
- ExpertNet: A Symbiosis of Classification and Clustering
- Fair Interpretable Learning via Correction Vectors
- Fair Group-Shared Representations with Normalizing Flows
- H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
- Landscape of Neural Architecture Search across sensors: how much do they differ ?
- Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
- Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
- A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews
- Graph Neural Networks for Cross-Camera Data Association
- A survey study of success factors in data science projects
- Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition
All 143
- Action Keypoint Network for Efficient Video Recognition
- On the Context-Free Ambiguity of Emoji
- Parameterized Convex Universal Approximators for Decision-Making Problems
- Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis
- The CLEAR Benchmark: Continual LEArning on Real-World Imagery
- MuLVE, A Multi-Language Vocabulary Evaluation Data Set
- Risk bounds for PU learning under Selected At Random assumption
- Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
- Detecting danger in gridworlds using Gromov's Link Condition
- Continual Transformers: Redundancy-Free Attention for Online Inference
- Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
- Towards Realistic Visual Dubbing with Heterogeneous Sources
- Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
- Exploit Customer Life-time Value with Memoryless Experiments
- Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
- Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms
- Using Machine Learning Based Models for Personality Recognition
- Contrastive Regularization for Semi-Supervised Learning
- EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party
- MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees
- Generalizable Neuro-symbolic Systems for Commonsense Question Answering
- Targeted Optimal Treatment Regime Learning Using Summary Statistics
- Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
- Interactive Contrastive Learning for Self-supervised Entity Alignment
- Unintended Bias in Language Model-driven Conversational Recommendation
- Korean-Specific Dataset for Table Question Answering
- Face Detection in Extreme Conditions: A Machine-learning Approach
- An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets
- Learning to Reformulate for Linear Programming
- Deep convolutional neural network for shape optimization using level-set approach
- Discourse Analysis for Evaluating Coherence in Video Paragraph Captions
- SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
- Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing
- Neighboring Backdoor Attacks on Graph Convolutional Network
- Proficiency Matters Quality Estimation in Grammatical Error Correction
- Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
- Nonlinear Control Allocation: A Learning Based Approach
- A fast and accurate iris segmentation method using an LoG filter and its zero-crossings
- A novel attention model for salient structure detection in seismic volumes
- SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
- Evaluation of HTR models without Ground Truth Material
- On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
- Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks