Papers
Tue 20 Sep 2022
167 papers
- Optimizing Crop Management with Reinforcement Learning and Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Exploring Inconsistent Knowledge Distillation for Object Detection with Data AugmentationKnowledge distillation → Detection and dense prediction distillation
- Metal Inpainting in CBCT Projections Using Score-based Generative ModelDiffusion models → Medical imaging and segmentation
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question AnsweringLLM reasoning → Multimodal reasoning
- PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
- Diversified Recommendations for Agents with Adaptive Preferences
- Knowledge-Aware Bayesian Deep Topic Model
- Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness
- Traffic Accident Risk Forecasting using Contextual Vision Transformers
- A Tent L'evy Flying Sparrow Search Algorithm for Feature Selection: A COVID-19 Case Study
- Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
- wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data
- Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
- A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
- SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification
- Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures
- Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan
- Differentiable Safe Controller Design through Control Barrier Functions
- MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
- Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision
- Towards 3D VR-Sketch to 3D Shape Retrieval
- Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
- Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues
- Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
- Intentional Choreography with Semi-Supervised Recurrent VAEs
- Fine-Grained VR Sketching: Dataset and Insights
- Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC
- Subjective Assessment of High Dynamic Range Videos Under Different Ambient Conditions
- Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability
- Audit and Improve Robustness of Private Neural Networks on Encrypted Data
- Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)
- MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
- Learning the Propagation of Worms in Wireless Sensor Networks
- Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
- jsdp: a Java Stochastic DP Library
- Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
- FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks
- Learning Acceptance Regions for Many Classes with Anomaly Detection
- A Demonstration of Over-the-Air Computation for Federated Edge Learning
- Learning Sparse Latent Representations for Generator Model
- Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
- Adversarial Bi-Regressor Network for Domain Adaptive Regression
- Comparative analysis of real bugs in open-source Machine Learning projects -- A Registered Report
- Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images
- Collaborative Anomaly Detection
- LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging
- Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
- Improving GANs with A Dynamic Discriminator
- Deep Generalized Schr"odinger Bridge
- Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
- Soft Action Priors: Towards Robust Policy Transfer
- Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques
- Open-vocabulary Queryable Scene Representations for Real World Planning
- Physical Logic Enhanced Network for Small-Sample Bi-Layer Metallic Tubes Bending Springback Prediction
- Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
- ESTA: An Esports Trajectory and Action Dataset
- Extremely Simple Activation Shaping for Out-of-Distribution Detection
- Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence
- Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
- Frequency Dropout: Feature-Level Regularization via Randomized Filtering
- Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
- On resolving conflicts between arguments
- Twitter Topic Classification
- Efficient Model Based Diagnosis
- Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation
- Register Variation Remains Stable Across 60 Languages
- Predictive Scale-Bridging Simulations through Active Learning
- The boosted HP filter is more general than you might think
- High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
- Thermal infrared image based vehicle detection in low-level illumination conditions using multi-level GANs
- Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
- An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots
- FedToken: Tokenized Incentives for Data Contribution in Federated Learning
- A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle
- An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition
- Dynamic Graph Message Passing Networks for Visual Recognition
- Language Varieties of Italy: Technology Challenges and Opportunities
- Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations
- Target-Guided Open-Domain Conversation Planning
- Yet Another Format of Universal Dependencies for Korean
- Relaxed Attention for Transformer Models
- Neural Graph Databases
- GANet: Goal Area Network for Motion Forecasting
- Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
- Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
- Sparse Vicious Attacks on Graph Neural Networks
- SCGG: A Deep Structure-Conditioned Graph Generative Model
- Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation
- A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
- Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired
- Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization
- Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models
- Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
- Industrial Data Science for Batch Manufacturing Processes
- Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects
- View-Disentangled Transformer for Brain Lesion Detection
- Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization
- On a Uniform Causality Model for Industrial Automation
- Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
- MAC: A Meta-Learning Approach for Feature Learning and Recombination
All 167
- Analysis Of The Anytime MAPF Solvers Based On The Combination Of Conflict-Based Search (CBS) and Focal Search (FS)
- Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
- Graph Value Iteration
- Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking
- Comparing Shape-Constrained Regression Algorithms for Data Validation
- EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics
- Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
- Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
- Sampling Agnostic Feature Representation for Long-Term Person Re-identification
- Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
- Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
- CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
- Towards Robust Referring Image Segmentation
- Cross-modal Learning for Image-Guided Point Cloud Shape Completion
- An Attention Free Long Short-Term Memory for Time Series Forecasting
- Automated ischemic stroke lesion segmentation from 3D MRI
- Graph Reasoning Transformer for Image Parsing
- FACT: Learning Governing Abstractions Behind Integer Sequences
- Towards Task-Prioritized Policy Composition
- Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study
- Boosting the Discriminant Power of Naive Bayes
- Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal
- The language and social behavior of innovators
- GAMA: Generative Adversarial Multi-Object Scene Attacks
- Reduction from Complementary-Label Learning to Probability Estimates
- NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images
- Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
- A framework for benchmarking clustering algorithms
- Deep Q-Network for AI Soccer
- Perceptual Quality Assessment for Digital Human Heads
- Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR
- Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes
- Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos
- Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
- Incorporating Causal Analysis into Diversified and Logical Response Generation
- Feature embedding in click-through rate prediction
- Unsupervised Early Exit in DNNs with Multiple Exits
- SparCL: Sparse Continual Learning on the Edge
- Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
- BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
- Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
- Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography
- SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
- A Few-shot Approach to Resume Information Extraction via Prompts
- Data-Centric AI Paradigm Based on Application-Driven Fine-Grained Dataset Design
- Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
- A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret
- Vega-MT: The JD Explore Academy Translation System for WMT22
- Locally Constrained Representations in Reinforcement Learning
- Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
- CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction
- Modeling sequential annotations for sequence labeling with crowds
- One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
- PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
- Fairness and robustness in anti-causal prediction
- Bit Allocation using Optimization
- Multi-armed Bandit Learning on a Graph
- Weak Disambiguation for Partial Structured Output Learning
- Deep learning at the edge enables real-time streaming ptychographic imaging
- DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
- Probabilistic Generative Transformer Language models for Generative Design of Molecules
- Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design
- Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
- Polynomial-Time Reachability for LTI Systems with Two-Level Lattice Neural Network Controllers
- Partial sequence labeling with structured Gaussian Processes
- Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks
- QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars