Papers
Wed 27 Apr 2022
155 papers
- Memory based neural networks for end-to-end autonomous drivingEnd-to-end autonomous driving → End-to-end system architecture
- Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System ImprovementLLM reasoning → Test-time compute and efficient thinking
- Binding Actions to Objects in World ModelsWorld models → Embodied and robot world models
- DearKD: Data-Efficient Early Knowledge Distillation for Vision TransformersKnowledge distillation → General knowledge distillation methods
- Ultra Fast Speech Separation Model with Teacher Student LearningKnowledge distillation → Speech and audio distillation
- RigoBERTa: A State-of-the-Art Language Model For Spanish
- An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology
- Topological Signal Processing using the Weighted Ordinal Partition Network
- Empowered Neural Cellular Automata
- Wireless LAN sensing with smart antennas
- Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements
- Human's Role in-the-Loop
- Multimodal Transformer-based Model for Buchwald-Hartwig and Suzuki-Miyaura Reaction Yield Prediction
- Identifying Critical LMS Features for Predicting At-risk Students
- Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection
- Nonbacktracking spectral clustering of nonuniform hypergraphs
- Prescriptive and Descriptive Approaches to Machine-Learning Transparency
- Asymptotic Inference for Infinitely Imbalanced Logistic Regression
- Offline Visual Representation Learning for Embodied Navigation
- TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
- Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systems
- Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
- ELM: Embedding and Logit Margins for Long-Tail Learning
- Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
- Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
- Counterfactual Explanations for Natural Language Interfaces
- Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis
- On the Use of Dimension Reduction or Signal Separation Methods for Nitrogen River Pollution Source Identification
- An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework
- AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
- FedShuffle: Recipes for Better Use of Local Work in Federated Learning
- A Framework for Flexible Peak Storm Surge Prediction
- R-MBO: A Multi-surrogate Approach for Preference Incorporation in Multi-objective Bayesian Optimisation
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems
- Person Re-Identification
- On the Relationship Between Explanations, Fairness Perceptions, and Decisions
- Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
- SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks
- An Improved Nearest Neighbour Classifier
- HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
- Open challenges for Machine Learning based Early Decision-Making research
- Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network
- FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference
- Self-Supervised Learning of Object Parts for Semantic Segmentation
- Few-Shot Head Swapping in the Wild
- Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
- 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective
- Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
- Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
- Faster online calibration without randomization: interval forecasts and the power of two choices
- Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
- Can deep learning match the efficiency of human visual long-term memory in storing object details?
- Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
- TERMinator: A Neural Framework for Structure-Based Protein Design using Tertiary Repeating Motifs
- Dropout Inference with Non-Uniform Weight Scaling
- BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information
- DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
- NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue
- Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference
- Ollivier-Ricci Curvature For Head Pose Estimation From a Single Image
- Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame
- Relevance-based Margin for Contrastively-trained Video Retrieval Models
- Counterfactual harm
- CapOnImage: Context-driven Dense-Captioning on Image
- Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
- Particle algorithms for maximum likelihood training of latent variable models
- Towards assessing agricultural land suitability with causal machine learning
- An End-to-End Dialogue Summarization System for Sales Calls
- MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
- Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization
- AdaCoach: A Virtual Coach for Training Customer Service Agents
- An Iterative Labeling Method for Annotating Fisheries Imagery
- Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network
- Spending Privacy Budget Fairly and Wisely
- Cross-Camera Trajectories Help Person Retrieval in a Camera Network
- Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems
- Gleo-Det: Deep Convolution Feature-Guided Detector with Local Entropy Optimization for Salient Points
- LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
- Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising
- Urban Change Forecasting from Satellite Images
- Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study
- Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering
- Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
- Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming
- Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
- BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery
- Learning to Parallelize in a Shared-Memory Environment with Transformers
- Power Bundle Adjustment for Large-Scale 3D Reconstruction
- Transfer Learning with Pre-trained Conditional Generative Models
- Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles
- A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions
- LySACoru~na at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing
- Conformer and Blind Noisy Students for Improved Image Quality Assessment
- CATrans: Context and Affinity Transformer for Few-Shot Segmentation
- The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
- SkillSpan: Hard and Soft Skill Extraction from English Job Postings
- When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
- A Method of Query Graph Reranking for Knowledge Base Question Answering
- Probing Simile Knowledge from Pre-trained Language Models
- A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
All 155
- GTNet: A Tree-Based Deep Graph Learning Architecture
- Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
- Modern Baselines for SPARQL Semantic Parsing
- Learning Green's functions associated with time-dependent partial differential equations
- Machines of finite depth: towards a formalization of neural networks
- Plug-and-Play Adaptation for Continuously-updated QA
- Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks
- An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
- Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
- Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
- Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion
- A Thorough Examination on Zero-shot Dense Retrieval
- A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer
- DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
- Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
- Self-Driving Car Steering Angle Prediction: Let Transformer Be a Car Again
- Self-Supervised Text Erasing with Controllable Image Synthesis
- Minimum Displacement Motion Planning for Movable Obstacles
- A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
- Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
- Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
- PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
- On the limitations of data-based price discrimination
- Dataset for Robust and Accurate Leading Vehicle Velocity Recognition
- UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus
- CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition
- On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
- Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control
- Discovering Representative Attribute-stars via Minimum Description Length
- Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
- Mapping suburban bicycle lanes using street scene images and deep learning
- Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN
- Distant finetuning with discourse relations for stance classification
- Robust Face Anti-Spoofing with Dual Probabilistic Modeling
- Density-preserving Deep Point Cloud Compression
- Building Knowledge-Grounded Dialogue Systems with Graph-Based Semantic Modeling
- Improving the Transferability of Adversarial Examples with Restructure Embedded Patches
- Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
- Optimized latent-code selection for explainable conditional text-to-image GANs
- The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
- A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction
- Data-Driven Adaptive Simultaneous Machine Translation
- SVD Perspectives for Augmenting DeepONet Flexibility and Interpretability
- Adaptable Text Matching via Meta-Weight Regulator
- MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
- Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
- Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
- Better Query Graph Selection for Knowledge Base Question Answering
- SCGC : Self-Supervised Contrastive Graph Clustering
- Trends in Remote Learning-based Google Shopping in the United States due to COVID-19
- Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems
- Investigating the Emergence of Online Learning in Different Countries using the 5 W's and 1 H Approach
- Generating Examples From CLI Usage: Can Transformers Help?
- Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization?
- Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection