Papers
Fri 3 Jun 2022
156 papers
- Kallima: A Clean-label Framework for Textual Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationMixture-of-experts → Medical and biomedical MoE
- Compositional Visual Generation with Composable Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Acquiring and Modelling Abstract Commonsense Knowledge via ConceptualizationLLM reasoning → Reasoning benchmarks and evaluation
- GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Offline Reinforcement Learning with Causal Structured World ModelsWorld models → Latent dynamics models and model-based RL +1
- Adversarial Unlearning: Reducing Confidence Along Adversarial DirectionsLLM safety and security → Machine unlearning
- On the Privacy Properties of GAN-generated SamplesLLM safety and security → Membership inference attacks
- Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
- Analysis of face detection, face landmarking, and face recognition performance with masked face images
- Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
- Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English
- Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks
- Multi-user Co-inference with Batch Processing Capable Edge Server
- XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions
- The Algorithmic Imprint
- Infinite Recommendation Networks: A Data-Centric Approach
- Effects of Auxiliary Knowledge on Continual Learning
- Constraints on parameter choices for successful reservoir computing
- On the duality between contrastive and non-contrastive self-supervised learning
- Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021
- Automated visual inspection of silicon detectors in CMS experiment
- A Deep Reinforcement Learning Framework For Column Generation
- Towards Group Learning: Distributed Weighting of Experts
- Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
- Out-of-Distribution Detection using BiGAN and MDL
- Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
- Coffee Roast Intelligence
- Differentially Private Model Compression
- Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization
- Spatial Feature Mapping for 6DoF Object Pose Estimation
- Drawing out of Distribution with Neuro-Symbolic Generative Models
- The Gamma Generalized Normal Distribution: A Descriptor of SAR Imagery
- Debiased Machine Learning without Sample-Splitting for Stable Estimators
- Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric
- HDDL 2.1: Towards Defining an HTN Formalism with Time
- EAANet: Efficient Attention Augmented Convolutional Networks
- A Robust Backpropagation-Free Framework for Images
- From t-SNE to UMAP with contrastive learning
- Option Discovery for Autonomous Generation of Symbolic Knowledge
- Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
- Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
- Learning Fine Scale Dynamics from Coarse Observations via Inner Recurrence
- Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength
- Adversarially Robust Topological Inference
- Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
- R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation
- Optimal Competitive-Ratio Control
- Real-Time Super-Resolution for Real-World Images on Mobile Devices
- Monkeypox Image Data collection
- Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection
- [Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement
- Uncertainty Estimation in Machine Learning
- Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
- Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach
- Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques
- Orthogonal Transform based Generative Adversarial Network for Image Dehazing
- Learning Probabilistic Topological Representations Using Discrete Morse Theory
- Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
- Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation
- SNAKE: Shape-aware Neural 3D Keypoint Field
- A Learning-Based Method for Automatic Operator Selection in the Fanoos XAI System
- Revisiting the "Video" in Video-Language Understanding
- A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
- A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features
- Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
- Gradient Obfuscation Checklist Test Gives a False Sense of Security
- KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
- Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank
- Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge
- Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals
- Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
- Toward a realistic model of speech processing in the brain with self-supervised learning
- ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
- Egocentric Video-Language Pretraining
- Algorithm for Constrained Markov Decision Process with Linear Convergence
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions
- Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
- Style-Content Disentanglement in Language-Image Pretraining Representations for Zero-Shot Sketch-to-Image Synthesis
- Identification via Retinal Vessels Combining LBP and HOG
- Metrics reloaded: Recommendations for image analysis validation
- D'ARTAGNAN: Counterfactual Video Generation
- Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
- Integrating Prior Knowledge in Contrastive Learning with Kernel
- Mirror modular cloning and fast quantum associative retrieval
- PROMISSING: Pruning Missing Values in Neural Networks
- Unsupervised Discovery of Inertial-Fusion Plasma Physics using Differentiable Kinetic Simulations and a Maximum Entropy Loss Function
- Reinforcement Learning with Neural Radiance Fields
- Pruning for Feature-Preserving Circuits in CNNs
- Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
- MCD: Marginal Contrastive Discrimination for conditional density estimation
- Hypothesis testing for matched pairs with missing data by maximum mean discrepancy: An application to continuous glucose monitoring
- Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
- Employing Socially Interactive Agents for Robotic Neurorehabilitation Training
- Extracting Similar Questions From Naturally-occurring Business Conversations
- Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
- On Calibration of Graph Neural Networks for Node Classification
- Optimal Weak to Strong Learning
- Prescriptive maintenance with causal machine learning
All 156
- Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
- Is an encoder within reach?
- TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based Models
- Mesh-free Eulerian Physics-Informed Neural Networks
- Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
- Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
- Anomaly detection in surveillance videos using transformer based attention model
- A High-Performance Customer Churn Prediction System based on Self-Attention
- A Survey on Computationally Efficient Neural Architecture Search
- Understanding Deep Learning via Decision Boundary
- Latent Topology Induction for Understanding Contextualized Representations
- Canonical convolutional neural networks
- Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
- Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
- YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection
- Causality Learning With Wasserstein Generative Adversarial Networks
- Constraining Gaussian processes for physics-informed acoustic emission mapping
- Transferring Studies Across Embodiments: A Case Study in Confusion Detection
- Finding Rule-Interpretable Non-Negative Data Representation
- Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages
- Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset
- Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation
- The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
- Recognition of Unseen Bird Species by Learning from Field Guides
- PAC Statistical Model Checking of Mean Payoff in Discrete- and Continuous-Time MDP
- Safety Certification for Stochastic Systems via Neural Barrier Functions
- Indirect Active Learning
- Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
- XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
- Plumber: A Modular Framework to Create Information Extraction Pipelines
- Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
- Modeling electronic health record data using a knowledge-graph-embedded topic model
- On the Generalization of Wasserstein Robust Federated Learning
- LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi
- Learning rich optical embeddings for privacy-preserving lensless image classification
- Rate-Optimal Online Convex Optimization in Adaptive Linear Control
- Learning an Adaptation Function to Assess Image Visual Similarities
- Impact of the composition of feature extraction and class sampling in medicare fraud detection
- One-shot Learning for Autonomous Aerial Manipulation
- Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain
- Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization
- MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
- Generalization for multiclass classification with overparameterized linear models
- Dynamic Structured Illumination Microscopy with a Neural Space-time Model
- End-to-End 3D Hand Pose Estimation from Stereo Cameras
- Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
- CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset
- Instant Graph Neural Networks for Dynamic Graphs
- Regularization-wise double descent: Why it occurs and how to eliminate it
- Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission
- Towards Improving the Generation Quality of Autoregressive Slot VAEs
- Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
- Supernet Training for Federated Image Classification under System Heterogeneity
- Adversarial Attacks on Human Vision
- MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data
- Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network