Papers
Fri 25 Feb 2022
152 papers
- Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?LLM reasoning → Reasoning benchmarks and evaluation
- Joint Answering and Explanation for Visual Commonsense ReasoningLLM reasoning → Multimodal reasoning
- Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge DistillationKnowledge distillation → Distillation for medical imaging
- Context-Hierarchy Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Learn From the Past: Experience Ensemble Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Deep Understanding based Multi-Document Machine Reading Comprehension
- Improving Maximum Likelihood Difference Scaling method to measure inter content scale
- Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification
- Mental State Classification Using Multi-graph Features
- se-Shweshwe Inspired Fashion Generation
- Identifying charge density and dielectric environment of graphene using Raman spectroscopy and deep learning
- Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems
- ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network
- ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
- CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
- HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring
- Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
- Sign and Basis Invariant Networks for Spectral Graph Representation Learning
- Weakly Supervised Instance Segmentation using Motion Information via Optical Flow
- Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search
- Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
- Integrated multimodal artificial intelligence framework for healthcare applications
- Self-Supervised and Interpretable Anomaly Detection using Network Transformers
- Near Optimal Reconstruction of Spherical Harmonic Expansions
- Projective Ranking-based GNN Evasion Attacks
- Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report
- Flexible variable selection in the presence of missing data
- A Brief Survey on Adaptive Video Streaming Quality Assessment
- Extracting Effective Subnetworks with Gumbel-Softmax
- OCR-IDL: OCR Annotations for Industry Document Library Dataset
- Scalable Gaussian-process regression and variable selection using Vecchia approximations
- Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference
- Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
- FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment
- Does Label Differential Privacy Prevent Label Inference Attacks?
- Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
- Image reconstruction algorithms in radio interferometry: from handcrafted to learned regularization denoisers
- Off-Policy Evaluation with Policy-Dependent Optimization Response
- A Hardware-Aware System for Accelerating Deep Neural Network Optimization
- Model Attribution of Face-swap Deepfake Videos
- Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations
- OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
- A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
- Learning English with Peppa Pig
- Incremental Inference on Higher-Order Probabilistic Graphical Models Applied to Constraint Satisfaction Problems
- Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
- Meta-Learning for Simple Regret Minimization
- Fault-Tolerant Neural Networks from Biological Error Correction Codes
- Learning to Identify Perceptual Bugs in 3D Video Games
- Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video
- DataLab: A Platform for Data Analysis and Intervention
- AutoFR: Automated Filter Rule Generation for Adblocking
- Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes
- ARIA: Adversarially Robust Image Attribution for Content Provenance
- A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty
- Building a 3-Player Mahjong AI using Deep Reinforcement Learning
- An initial alignment between neural network and target is needed for gradient descent to learn
- Dynamic Regret of Online Mirror Descent for Relatively Smooth Convex Cost Functions
- RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training
- Morphology Without Borders: Clause-Level Morphology
- NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions
- Gen'eLive! Generating Rhythm Actions in Love Live!
- Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
- Improving generalization with synthetic training data for deep learning based quality inspection
- The Reality of Multi-Lingual Machine Translation
- Causal discovery for observational sciences using supervised machine learning
- High-Dimensional Sparse Bayesian Learning without Covariance Matrices
- On the data requirements of probing
- Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
- Equilibrium Aggregation: Encoding Sets via Optimization
- Towards Optimal Lower Bounds for k-median and k-means Coresets
- Sensing accident-prone features in urban scenes for proactive driving and accident prevention
- Behaviorally Grounded Model-Based and Model Free Cost Reduction in a Simulated Multi-Echelon Supply Chain
- Confidence Calibration for Object Detection and Segmentation
- Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
- Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection
- Data refinement for fully unsupervised visual inspection using pre-trained networks
- Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
- HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
- Novel techniques for improving NNetEn entropy calculation for short and noisy time series
- Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs
- On Modality Bias Recognition and Reduction
- Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems
- Improving Amharic Handwritten Word Recognition Using Auxiliary Task
- A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors
- Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks
- Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
- PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine
- Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods
- Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
- Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge
- Do autoencoders need a bottleneck for anomaly detection?
- Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
- Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening
- Predicting 4D Liver MRI for MR-guided Interventions
- Towards neoRL networks; the emergence of purposive graphs
- LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
- JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus
- Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR
All 152
- Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs
- Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
- Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
- Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
- Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression
- A Survey of Multilingual Models for Automatic Speech Recognition
- Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History
- NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
- Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
- Screening Gender Transfer in Neural Machine Translation
- Composing Complex and Hybrid AI Solutions
- An exploration of the performances achievable by combining unsupervised background subtraction algorithms
- 6D Rotation Representation For Unconstrained Head Pose Estimation
- Raman Spectrum Matching with Contrastive Representation Learning
- Reachability analysis in stochastic directed graphs by reinforcement learning
- Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection
- An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
- Improved Dual Correlation Reduction Network
- A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network
- Faithful learning with sure data for lung nodule diagnosis
- TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
- MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
- Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training
- RRL:Regional Rotation Layer in Convolutional Neural Networks
- Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision
- On the Effectiveness of Dataset Watermarking in Adversarial Settings
- A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation
- Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
- PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
- Diffeomorphic Image Registration with Neural Velocity Field
- Monogenic Wavelet Scattering Network for Texture Image Classification
- Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
- Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
- GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection
- Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement
- Bidding Agent Design in the LinkedIn Ad Marketplace
- A residual-based message passing algorithm for constraint satisfaction problems
- A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry
- APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets
- A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection
- Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
- Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN
- Human-Centered Concept Explanations for Neural Networks
- MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs
- Directed Graph Auto-Encoders
- Deep neural networks for fine-grained surveillance of overdose mortality
- Ensemble Method for Estimating Individualized Treatment Effects
- Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks
- On Learning and Testing of Counterfactual Fairness through Data Preprocessing
- Learning Invariant Weights in Neural Networks
- Understanding Adversarial Robustness from Feature Maps of Convolutional Layers