Papers
Thu 5 May 2022
173 papers
- ST-ExpertNet: A Deep Expert Framework for Traffic PredictionMixture-of-experts → MoE for time series and graphs
- Semi-Supervised Imitation Learning of Team Policies from Suboptimal DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
- RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph NetworksWorld models → Embodied and robot world models
- METGEN: A Module-Based Entailment Tree Generation Framework for Answer ExplanationLLM reasoning → Knowledge- and tool-augmented reasoning
- Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Spot-adaptive Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Robust Conversational Agents against Imperceptible Toxicity TriggersLLM agents and tool use → Agent threats, guardrails and governance
- A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
- Intelligent Transportation Systems' Orchestration: Lessons Learned & Potential Opportunities
- Deep Neural Network approaches for Analysing Videos of Music Performances
- Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness
- One-way Explainability Isn't The Message
- REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
- LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding
- DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation
- Demystifying the Data Need of ML-surrogates for CFD Simulations
- Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
- REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
- Measuring Cognitive Workload Using Multimodal Sensors
- Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery
- Atlas-powered deep learning (ADL) -- application to diffusion weighted MRI
- Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
- Scene Graph Expansion for Semantics-Guided Image Outpainting
- Low Dimensional Invariant Embeddings for Universal Geometric Learning
- Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
- Over-The-Air Federated Learning under Byzantine Attacks
- A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior
- CNN-Augmented Visual-Inertial SLAM with Planar Constraints
- FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras
- End-to-End Image-Based Fashion Recommendation
- Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts
- Action Languages Based Actual Causality for Computational Ethics: a Sound and Complete Implementation in ASP
- Generating Representative Samples for Few-Shot Classification
- GANs as Gradient Flows that Converge
- GreenDB: Toward a Product-by-Product Sustainability Database
- Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes
- Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks
- New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography
- Interactive Model Cards: A Human-Centered Approach to Model Documentation
- Ontology Reuse: the Real Test of Ontological Design
- Evaluating Context for Deep Object Detectors
- Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham
- CompactIE: Compact Facts in Open Information Extraction
- Exploiting Ligand Additivity for Transferable Machine Learning of Multireference Character Across Known Transition Metal Complex Ligands
- Metaversal Learning Environments: Measuring, predicting and improving interpersonal effectiveness
- A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images
- AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching
- Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
- Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis
- Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation
- Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs
- InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy
- Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures
- BlobGAN: Spatially Disentangled Scene Representations
- Neural 3D Scene Reconstruction with the Manhattan-world Assumption
- Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
- Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
- Cross-view Transformers for real-time Map-view Semantic Segmentation
- Entity Cloze By Date: What LMs Know About Unseen Entities
- Interaction Replica: Tracking Human-Object Interaction and Scene Changes From Human Motion
- Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning
- Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
- Rapid Locomotion via Reinforcement Learning
- Generative methods for sampling transition paths in molecular dynamics
- Morphological Wobbling Can Help Robots Learn
- Quantum Extremal Learning
- An Empirical Study on Activity Recognition in Long Surgical Videos
- Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data
- Diversifying Neural Dialogue Generation via Negative Distillation
- Finding Bipartite Components in Hypergraphs
- Spiking Graph Convolutional Networks
- General sum stochastic games with networked information flows
- Automating Reasoning with Standpoint Logic via Nested Sequents
- Koopman pose predictions for temporally consistent human walking estimations
- Characterizing player's playing styles based on Player Vectors for each playing position in the Chinese Football Super League
- CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms
- Implicit N-grams Induced by Recurrence
- Communication-Efficient Adaptive Federated Learning
- BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection
- Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects
- Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
- Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
- Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case
- Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
- Mode Reduction for Markov Jump Systems
- Quantifying Language Variation Acoustically with Few Resources
- Gait Recognition in the Wild: A Large-scale Benchmark and NAS-based Baseline
- The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse
- Hardware System Implementation for Human Detection using HOG and SVM Algorithm
- RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
- KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design
- Chemoreception and chemotaxis of a three-sphere swimmer
- On Disentangled and Locally Fair Representations
- Multi-Agent Deep Reinforcement Learning in Vehicular OCC
- What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
- Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
- LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks
- Region-Based Merging of Open-Domain Terminological Knowledge
- Text Detection on Technical Drawings for the Digitization of Brown-field Processes
All 173
- Language Models Can See: Plugging Visual Controls in Text Generation
- Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications
- Can collaborative learning be private, robust and scalable?
- Discovering stochastic dynamical equations from biological time series data
- Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
- ImPosing: Implicit Pose Encoding for Efficient Visual Localization
- Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
- Efficient yet Competitive Speech Translation: FBK@IWSLT2022
- WDV: A Broad Data Verbalisation Dataset Built from Wikidata
- GANimator: Neural Motion Synthesis from a Single Sequence
- Contrastive Multi-view Hyperbolic Hierarchical Clustering
- Exploiting Global and Local Hierarchies for Hierarchical Text Classification
- Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
- The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
- Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
- PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis
- A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
- Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains
- Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
- DropTrack -- automatic droplet tracking using deep learning for microfluidic applications
- One Size Does Not Fit All: The Case for Personalised Word Complexity Models
- Monitoring AI systems: A Problem Analysis, Framework and Outlook
- LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
- Bivariate vine copula based regression, bivariate level and quantile curves
- Automated Imbalanced Classification via Layered Learning
- Biologically inspired deep residual networks for computer vision applications
- LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking
- User-Driven Research of Medical Note Generation Software
- Introducing the Welsh Text Summarisation Dataset and Baseline Systems
- OCR Synthetic Benchmark Dataset for Indic Languages
- Real-time Controllable Motion Transition for Characters
- Parametric Reshaping of Portraits in Videos
- YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression
- Theories of "Gender" in NLP Bias Research
- M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation
- A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
- One Picture is Worth a Thousand Words: A New Wallet Recovery Process
- Explicit View-labels Matter: A Multifacet Complementarity Study of Multi-view Clustering
- Are GAN-based Morphs Threatening Face Recognition?
- FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
- Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation
- Speaker Recognition in the Wild
- dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training
- BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog
- Optimal Algorithms for Mean Estimation under Local Differential Privacy
- KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
- Parametric Generative Schemes with Geometric Constraints for Encoding and Synthesizing Airfoils
- MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar
- Declaration-based Prompt Tuning for Visual Question Answering
- COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
- Assistive Recipe Editing through Critiquing
- Learning to Solve Vehicle Routing Problems: A Survey
- A Deep Learning Approach to Dst Index Prediction
- Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
- Cross-modal Contrastive Learning for Speech Translation
- DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
- Text to artistic image generation
- Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
- FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
- Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
- Subverting Fair Image Search with Generative Adversarial Perturbations
- Surface Reconstruction from Point Clouds: A Survey and a Benchmark
- Relational Representation Learning in Visually-Rich Documents
- Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control
- Dangling-Aware Entity Alignment with Mixed High-Order Proximities
- Compressive Ptychography using Deep Image and Generative Priors
- Optimising Equal Opportunity Fairness in Model Training
- Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
- Uncertainty-Based Non-Parametric Active Peak Detection
- Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data
- A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning
- PREME: Preference-based Meeting Exploration through an Interactive Questionnaire
- Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators