Papers
Wed 8 Feb 2023
194 papers
- Red Teaming Deep Neural Networks with Feature Synthesis ToolsLLM safety and security → Backdoor and data poisoning attacks
- MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion ModelDiffusion models → Medical imaging and segmentation
- Asking for Help: Failure Prediction in Behavioral Cloning through Value ApproximationOffline RL and imitation learning from data → Imitation learning methods
- Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationDiffusion models → Flow matching, time series and science
- Q-Diffusion: Quantizing Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- PFGM++: Unlocking the Potential of Physics-Inspired Generative ModelsDiffusion models → Flow matching, time series and science
- Black Box Adversarial Prompting for Foundation ModelsLLM safety and security → Vision-language and text-to-image safety
- Glaze: Protecting Artists from Style Mimicry by Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- Training-free Lexical Backdoor Attacks on Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityLLM reasoning → Reasoning benchmarks and evaluation
- Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
- Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Noise2Music: Text-conditioned Music Generation with Diffusion ModelsDiffusion models → Audio, speech and music
- Guided Learning from Demonstration for Robust TransferabilityOffline RL and imitation learning from data → Robot learning from demonstration
- Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- SLaM: Student-Label Mixing for Distillation with Unlabeled ExamplesKnowledge distillation → General knowledge distillation methods
- An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
- Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System
- Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
- On Function-Coupled Watermarks for Deep Neural Networks
- Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
- Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
- Assessment of Vehicular Vision Obstruction Due to Driver-Side B-Pillar and Remediation with Blind Spot Eliminator
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
- ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots
- Ordered Memory Baselines
- AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework
- Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
- Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
- A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
- Near-Optimal Adversarial Reinforcement Learning with Switching Costs
- Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
- Adaptive State-Dependent Diffusion for Derivative-Free Optimization
- Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy
- Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training
- Plug In and Learn: Federated Intelligence over a Smart Grid of Models
- Disentangling Learning Representations with Density Estimation
- Sentiment analysis and opinion mining on educational data: A survey
- Mitigating Bias in Visual Transformers via Targeted Alignment
- On Computable Online Learning
- Learning Dynamical Systems by Leveraging Data from Similar Systems
- CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data
- Neonatal Face and Facial Landmark Detection from Video Recordings
- (Re)Defining Expertise in Machine Learning Development
- Performative Recommendation: Diversifying Content via Strategic Incentives
- Will ChatGPT get you caught? Rethinking of Plagiarism Detection
- Continuous Learning for Android Malware Detection
- Short-Term Memory Convolutions
- Learning to Play Stochastic Two-player Perfect-Information Games without Knowledge
- Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety
- Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
- Mask Conditional Synthetic Satellite Imagery
- Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
- Sample Complexity Using Infinite Multiview Models
- Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
- Diagnosing and Rectifying Vision Models using Language
- Nerfstudio: A Modular Framework for Neural Radiance Field Development
- Algorithmic Collective Action in Machine Learning
- The Test of Tests: A Framework For Differentially Private Hypothesis Testing
- Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration
- Federated Minimax Optimization with Client Heterogeneity
- Shortcut Detection with Variational Autoencoders
- Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction
- SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
- Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
- On the Computational Complexity of Ethics: Moral Tractability for Minds and Machines
- Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis
- A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
- On the Complexity of Computing G"odel Numbers
- Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
- Hierarchical Event Grounding
- Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events
- Online Resource Allocation: Bandits feedback and Advice on Time-varying Demands
- Attending to Graph Transformers
- A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis
- DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
- A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition
- The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks
- A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging
- Generalizing Neural Wave Functions
- GPTScore: Evaluate as You Desire
- IRTCI: Item Response Theory for Categorical Imputation
- Prompting for Multimodal Hateful Meme Classification
- Policy Evaluation in Decentralized POMDPs with Belief Sharing
- Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving
- Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
- Combining self-labeling and demand based active learning for non-stationary data streams
- Multi-Modal Evaluation Approach for Medical Image Segmentation
- Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
- Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
- Hyperspectral Image Compression Using Implicit Neural Representation
- Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network
- A Parametric Similarity Method: Comparative Experiments based on Semantically Annotated Large Datasets
- Local Law 144: A Critical Analysis of Regression Metrics
- On the Richness of Calibration
- Assessing the impact of regulations and standards on innovation in the field of AI
- Explainable Label-flipping Attacks on Human Emotion Assessment System
- Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios
All 194
- Can Physics-Informed Neural Networks beat the Finite Element Method?
- WF-UNet: Weather Fusion UNet for Precipitation Nowcasting
- Extragradient-Type Methods with O (1/k) Last-Iterate Convergence Rates for Co-Hypomonotone Inclusions
- ASTRIDE: Adaptive Symbolization for Time Series Databases
- Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
- Reception Reader: Exploring Text Reuse in Early Modern British Publications
- Improving the Model Consistency of Decentralized Federated Learning
- Decision trees compensate for model misspecification
- Best Practices in Active Learning for Semantic Segmentation
- Taming Local Effects in Graph-based Spatiotemporal Forecasting
- Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
- Weakly-supervised Representation Learning for Video Alignment and Analysis
- Machine Learning for Synthetic Data Generation: A Review
- Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
- A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios
- Towards Inferential Reproducibility of Machine Learning Research
- Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks
- Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
- Rover: An online Spark SQL tuning service via generalized transfer learning
- Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
- Sample-efficient Multi-objective Molecular Optimization with GFlowNets
- Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
- A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
- CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
- WAT: Improve the Worst-class Robustness in Adversarial Training
- InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
- Fortuna: A Library for Uncertainty Quantification in Deep Learning
- A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
- Zero-shot Sim2Real Adaptation Across Environments
- CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
- Investigating the role of model-based learning in exploration and transfer
- The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
- Leveraging Summary Guidance on Medical Report Summarization
- SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
- Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
- Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects
- Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study
- Multiview Representation Learning from Crowdsourced Triplet Comparisons
- Cross-Layer Retrospective Retrieving via Layer Attention
- Structural hierarchical learning for energy networks
- Improved Langevin Monte Carlo for stochastic optimization via landscape modification
- A FPGA-based architecture for real-time cluster finding in the LHCb silicon pixel detector
- Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
- Neural Congealing: Aligning Images to a Joint Semantic Atlas
- Cut your Losses with Squentropy
- Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions
- Gibbsian polar slice sampling
- Spatiotemporal Deformation Perception for Fisheye Video Rectification
- Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
- Multi-view Feature Extraction based on Dual Contrastive Head
- Fast Linear Model Trees by PILOT
- A Model for Forecasting Air Quality Index in Port Harcourt Nigeria Using Bi-LSTM Algorithm
- CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back
- Gestalt-Guided Image Understanding for Few-Shot Learning
- Predictable MDP Abstraction for Unsupervised Model-Based RL
- QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data
- Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
- Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation
- Syntax and Domain Aware Model for Unsupervised Program Translation
- DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks
- COMBO: A Complete Benchmark for Open KG Canonicalization
- EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
- Approximately Optimal Core Shapes for Tensor Decompositions
- Classification of Methods to Reduce Clinical Alarm Signals for Remote Patient Monitoring: A Critical Review
- DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
- Multimodal Recommender Systems: A Survey
- On Generalized Degree Fairness in Graph Neural Networks
- Neural Artistic Style Transfer with Conditional Adversaria
- Participatory Personalization in Classification
- Geometric Perception based Efficient Text Recognition
- A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
- SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
- EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions
- DeepVATS: Deep Visual Analytics for Time Series
- Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
- ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
- Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning
- Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
- MMPD: Multi-Domain Mobile Video Physiology Dataset
- Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits
- Topological Deep Learning: A Review of an Emerging Paradigm
- TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
- Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems
- Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
- Clinical BioBERT Hyperparameter Optimization using Genetic Algorithm
- PASTA: Pessimistic Assortment Optimization
- A Unified Multi-view Multi-person Tracking Framework
- The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons
- Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making
- Long Text and Multi-Table Summarization: Dataset and Method
- A Multimodal Sensing Ring for Quantification of Scratch Intensity
- On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
- Fairness in Matching under Uncertainty
- A Prototype-Oriented Clustering for Domain Shift with Source Privacy