Papers
Mon 7 Mar 2022
188 papers
- Score-Based Generative Models for Molecule GenerationDiffusion models → Diffusion foundations and sampling
- Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor AttacksLLM safety and security → Prompt injection and agent security
- Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationKnowledge distillation → Distillation for medical imaging
- Learning Solution Manifolds for Control Problems via Energy MinimizationOffline RL and imitation learning from data → Imitation learning methods
- A Unified Formulation of Geometry-aware Dynamic Movement PrimitivesOffline RL and imitation learning from data → Robot learning from demonstration
- Enhance Language Identification using Dual-mode Model with Knowledge DistillationKnowledge distillation → Speech and audio distillation
- Shift-Robust Node Classification via Graph Adversarial Clustering
- Learning Resilient Radio Resource Management Policies with Graph Neural Networks
- Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
- Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals
- Teleconnection patterns of different El Ni~no types revealed by climate network curvature
- Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance
- ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities
- Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO2, and other Environmental Factors
- Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences
- P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
- A Survey on Reinforcement Learning Methods in Character Animation
- Non-equilibrium molecular geometries in graph neural networks
- ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
- Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
- Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
- Residual Aligner Network
- Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data
- A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
- Explaining Classifiers by Constructing Familiar Concepts
- Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies
- A Trainable Approach to Zero-delay Smoothing Spline Interpolation
- Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
- CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability
- Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
- The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
- IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
- Flat minima generalize for low-rank matrix recovery
- Battery Cloud with Advanced Algorithms
- A Push-Relabel Based Additive Approximation for Optimal Transport
- Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
- Robustness and Usefulness in AI Explanation Methods
- Barlow constrained optimization for Visual Question Answering
- Detection of AI Synthesized Hindi Speech
- Learning to Bound: A Generative Cram'er-Rao Bound
- HyperMixer: An MLP-based Low Cost Alternative to Transformers
- WaveMix: Resource-efficient Token Mixing for Images
- Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
- Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers
- Object-centric and memory-guided normality reconstruction for video anomaly detection
- AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
- Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
- Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
- Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis
- Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver
- Stepwise Feature Fusion: Local Guides Global
- Remote blood pressure measurement via spatiotemporal mapping of a short-time facial video
- Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets
- ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
- Human-Aware Object Placement for Visual Environment Reconstruction
- I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
- DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
- Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
- Creating Speech-to-Speech Corpus from Dubbed Series
- Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language
- Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive Bias
- Continual and Sliding Window Release for Private Empirical Risk Minimization
- Quantum Local Differential Privacy and Quantum Statistical Query Model
- On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation
- The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
- Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance
- Kubric: A scalable dataset generator
- An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
- Improved Search of Relevant Points for Nearest-Neighbor Classification
- TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
- Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- E-detectors: a nonparametric framework for sequential change detection
- On observability and optimal gain design for distributed linear filtering and prediction
- Cartoon-texture evolution for two-region image segmentation
- The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond
- Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation
- DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data
- Self-directed Learning of Action Models using Exploratory Planning
- Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
- EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships
- Reinforcement Learning for Location-Aware Scheduling
- State space partitioning based on constrained spectral clustering for block particle filtering
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
- Hierarchical Sketch Induction for Paraphrase Generation
- Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning
- Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations
- S-Rocket: Selective Random Convolution Kernels for Time Series Classification
- Generalization Through The Lens Of Leave-One-Out Error
- Towards Automated Real-time Evaluation in Text-based Counseling
- Multi-Modal Attribute Extraction for E-Commerce
- SOCIOFILLMORE: A Tool for Discovering Perspectives
- Deep Neural Decision Forest for Acoustic Scene Classification
- What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!?
- Multivariate Time Series Forecasting with Latent Graph Inference
- Depth-SIMS: Semi-Parametric Image and Depth Synthesis
- Building and curating conversational corpora for diversity-aware language science and technology
- Estimation under Model Misspecification with Fake Features
- Screentone-Preserved Manga Retargeting
- FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics
- Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration
All 188
- Self-supervised Implicit Glyph Attention for Text Recognition
- An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks
- Spatio-temporal Gait Feature with Global Distance Alignment
- Adversarial Texture for Fooling Person Detectors in the Physical World
- Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
- Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH)
- Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment
- Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
- Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning
- High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
- L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
- Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network
- A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging
- Continuous Self-Localization on Aerial Images Using Visual and Lidar Sensors
- Neural Enhancement of Factor Graph-based Symbol Detection
- Open Set Domain Adaptation By Novel Class Discovery
- Automated Few-Shot Time Series Forecasting based on Bi-level Programming
- Dynamic ConvNets on Tiny Devices via Nested Sparsity
- Depth-Independent Depth Completion via Least Square Estimation
- Deep Reinforcement Learning for Entity Alignment
- SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding
- Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
- Regularising for invariance to data augmentation improves supervised learning
- PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
- Machine Learning based Anomaly Detection for Smart Shirt: A Systematic Review
- Neural network approach to reconstructing spectral functions and complex poles of confined particles
- On Credit Assignment in Hierarchical Reinforcement Learning
- Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks
- Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion
- Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network
- Predicting Bearings' Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry
- Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
- Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
- Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios
- Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context
- Semantic Segmentation in Art Paintings
- Pre-trained Token-replaced Detection Model as Few-shot Learner
- A deep branching solver for fully nonlinear partial differential equations
- Knowledge Transfer in Deep Reinforcement Learning for Slice-Aware Mobility Robustness Optimization
- Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
- Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs
- USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
- Maximizing Conditional Independence for Unsupervised Domain Adaptation
- Trajectory Test-Train Overlap in Next-Location Prediction Datasets
- Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for Children
- Undersampled MRI Reconstruction with Side Information-Guided Normalisation
- Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
- Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
- Speaker recognition by means of a combination of linear and nonlinear predictive models
- A comparative study of several ADPCM schemes with linear and nonlinear prediction
- Knowledge Amalgamation for Object Detection with Transformers
- Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm
- Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation
- Find a Way Forward: a Language-Guided Semantic Map Navigator
- CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene
- Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking
- Detecting data-driven robust statistical arbitrage strategies with deep neural networks
- Towards Robust Online Dialogue Response Generation
- Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
- SingleSketch2Mesh : Generating 3D Mesh model from Sketch
- Scalable Verification of GNN-based Job Schedulers
- Fast Community Detection based on Graph Autoencoder Reconstruction
- On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing
- Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters
- End-to-end video instance segmentation via spatial-temporal graph neural networks
- MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
- Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
- A3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks
- Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
- Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
- Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Mat'ern Correlations
- Matrix Decomposition Perspective for Accuracy Assessment of Item Response Theory
- Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning
- Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics
- Differentially Private Federated Learning with Local Regularization and Sparsification
- Prediction of transport property via machine learning molecular movements
- HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
- Singular Value Perturbation and Deep Network Optimization
- Behavior Recognition Based on the Integration of Multigranular Motion Features
- SurvSet: An open-source time-to-event dataset repository
- Systematic Comparison of Path Planning Algorithms using PathBench
- CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild
- HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
- GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
- Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
- Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography
- ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
- Non-linear predictive vector quantization of speech