Papers
Tue 21 Feb 2023
207 papers
- BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPTLLM safety and security → Backdoor and data poisoning attacks
- Adversarial Model for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Offline Reinforcement Learning for Mixture-of-Expert Dialogue ManagementMixture-of-experts → MoE large language models +1
- On Calibrating Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few LabelsDiffusion models → Diffusion foundations and sampling
- Diffusion Probabilistic Models for Structured Node ClassificationDiffusion models → Flow matching, time series and science
- Learning Gradually Non-convex Image Priors Using Score MatchingDiffusion models → Inverse problems and image restoration
- TMoE-P: Towards the Pareto Optimum for Multivariate Soft SensorsMixture-of-experts → MoE theory and gating functions
- Sequential decomposition of propositional logic programs
- The Full Rights Dilemma for A.I. Systems of Debatable Personhood
- Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers
- A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
- Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning
- Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
- Reinforcement Learning for Block Decomposition of CAD Models
- Task-Oriented Prediction and Communication Co-Design for Haptic Communications
- A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss
- Physics-informed Spectral Learning: the Discrete Helmholtz--Hodge Decomposition
- SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
- Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead
- Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
- Fusion of Global and Local Knowledge for Personalized Federated Learning
- Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
- Framework for Certification of AI-Based Systems
- Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching
- In-context Example Selection with Influences
- Boosting Nystr"om Method
- Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms
- Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
- Learning signatures of decision making from many individuals playing the same game
- MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
- Using Semantic Information for Defining and Detecting OOD Inputs
- An Updated Assessment of Reinforcement Learning for Macro Placement
- Likelihood Annealing: Fast Calibrated Uncertainty for Regression
- Unification of popular artificial neural network activation functions
- Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
- Learning Physical Models that Can Respect Conservation Laws
- CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design
- MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
- Learning to Retrieve Engaging Follow-Up Queries
- Improved uncertainty quantification for neural networks with Bayesian last layer
- Differentiable Rendering with Reparameterized Volume Sampling
- Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol Attack
- Can Learning Be Explained By Local Optimality In Robust Low-rank Matrix Recovery?
- Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression
- Machine learning for the prediction of safe and biologically active organophosphorus molecules
- Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging
- A Reinforcement Learning Framework for Online Speaker Diarization
- PointFISH -- learning point cloud representations for RNA localization patterns
- 'The Taurus': Cattle Breeds & Diseases Identification Mobile Application using Machine Learning
- Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
- Blockchain and Biometrics: Survey, GDPR Analysis, and Future Directions
- kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models
- Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
- MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
- Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation
- On Provable Copyright Protection for Generative Models
- Hyena Hierarchy: Towards Larger Convolutional Language Models
- A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
- A Note on Noisy Reservoir Computation
- Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation
- SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
- Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture
- TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
- Robust Mean Estimation Without Moments for Symmetric Distributions
- Valid Inference for Machine Learning Model Parameters
- A General-Purpose Transferable Predictor for Neural Architecture Search
- Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
- Minimax-Bayes Reinforcement Learning
- AutoML in The Wild: Obstacles, Workarounds, and Expectations
- Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning
- Device Tuning for Multi-Task Large Model
- Tailoring Requirements Engineering for Responsible AI
- Tracking Objects and Activities with Attention for Temporal Sentence Grounding
- On ML-Based Program Translation: Perils and Promises
- Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
- Bokeh Rendering Based on Adaptive Depth Calibration Network
- Repeated Bilateral Trade Against a Smoothed Adversary
- Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
- Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa
- Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
- A comparative study of human inverse kinematics techniques for lower limbs
- Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?
- Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
- MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
- Depth Estimation and Image Restoration by Deep Learning from Defocused Images
- Exploring Local Norms in Exp-concave Statistical Learning
- ChatGPT: Jack of all trades, master of none
- Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
- Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning
- Memory-augmented Online Video Anomaly Detection
- Effects of Architectures on Continual Semantic Segmentation
- Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
- Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios
- Variational Boosted Soft Trees
- Scalable Infomin Learning
- Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations
- A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection
- On Inductive Biases for Machine Learning in Data Constrained Settings
- Boosting the Power of Kernel Two-Sample Tests
All 207
- Interpretable Spectrum Transformation Attacks to Speaker Recognition
- Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
- FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
- Generic Dependency Modeling for Multi-Party Conversation
- Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset
- User-aware WLAN Transmit Power Control in the Wild
- Declarative Probabilistic Logic Programming in Discrete-Continuous Domains
- Importance of methodological choices in data manipulation for validating epileptic seizure detection models
- Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
- UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance
- PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
- Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
- RealFusion: 360deg Reconstruction of Any Object from a Single Image
- Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations
- Density Ratio Estimation and Neyman Pearson Classification with Missing Data
- Predicting Privacy Preferences for Smart Devices as Norms
- Multi-Target Tobit Models for Completing Water Quality Data
- Playing the Werewolf game with artificial intelligence for language understanding
- BrackishMOT: The Brackish Multi-Object Tracking Dataset
- A3S: Adversarial learning of semantic representations for Scene-Text Spotting
- Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
- A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
- ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs
- Semantic Segmentation of Urban Textured Meshes Through Point Sampling
- A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography
- Generalization Bounds for Adversarial Contrastive Learning
- FedST: Secure Federated Shapelet Transformation for Time Series Classification
- LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
- Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
- Self-improving object detection via disagreement reconciliation
- The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle
- Tree-Based Machine Learning Methods For Vehicle Insurance Claims Size Prediction
- Differentiable Multi-Target Causal Bayesian Experimental Design
- SU-Net: Pose estimation network for non-cooperative spacecraft on-orbit
- Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning
- Texturize a GAN Using a Single Image
- Connecting Humanities and Social Sciences: Applying Language and Speech Technology to Online Panel Surveys
- Classy Ensemble: A Novel Ensemble Algorithm for Classification
- Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers
- Managing multi-facet bias in collaborative filtering recommender systems
- MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
- SurvLIMEpy: A Python package implementing SurvLIME
- Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge
- Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems
- MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts
- EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
- Online Symbolic Regression with Informative Query
- Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing
- Reentry Risk and Safety Assessment of Spacecraft Debris Based on Machine Learning
- HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
- LU-Net: Invertible Neural Networks Based on Matrix Factorization
- I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images
- Feature selection algorithm based on incremental mutual information and cockroach swarm optimization
- USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency
- MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion
- Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling
- Higher-order Sparse Convolutions in Graph Neural Networks
- Reusable Slotwise Mechanisms
- Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
- The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
- Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
- Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data
- Classification with Trust: A Supervised Approach based on Sequential Ellipsoidal Partitioning
- Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN
- Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach
- LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method
- Climate Model Driven Seasonal Forecasting Approach with Deep Learning
- Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations
- Oriented object detection in optical remote sensing images using deep learning: a survey
- On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks
- A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes
- Vision-based Multi-future Trajectory Prediction: A Survey
- KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
- Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information
- Mask-guided BERT for Few Shot Text Classification
- Deep Reinforcement Learning Based on Local GNN for Goal-conditioned Deformable Object Rearranging
- Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task
- Speech Privacy Leakage from Shared Gradients in Distributed Learning
- Adaptive Discretization using Voronoi Trees for Continuous POMDPs
- Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection
- Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
- On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
- Link Prediction on Latent Heterogeneous Graphs
- Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification
- FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
- A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
- An Accurate and Interpretable Framework for Trustworthy Process Monitoring
- Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows
- Criminal Investigation Tracker with Suspect Prediction using Machine Learning
- HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
- MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
- FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning
- Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
- CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
- Non-pooling Network for medical image segmentation
- Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking: Extended Version
- Mean Parity Fair Regression in RKHS
- Label Information Enhanced Fraud Detection against Low Homophily in Graphs
- Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
- An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation
- Assessing Domain Gap for Continual Domain Adaptation in Object Detection
- Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
- Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments
- From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces
- DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
- On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory
- Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency