Papers
Thu 11 Nov 2021
126 papers
- Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Poisoning Knowledge Graph Embeddings via Relation Inference PatternsLLM safety and security → Backdoor and data poisoning attacks
- Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed TrafficEnd-to-end autonomous driving → Cooperative and V2X driving
- Yaw-Guided Imitation Learning for Autonomous Driving in Urban EnvironmentsEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models
- Graph-Guided Deformation for Point Cloud Completion
- Anti-Jamming Games in Multi-Band Wireless Ad Hoc Networks
- On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
- Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach
- Offline Contextual Bandits for Wireless Network Optimization
- Lifelong Learning from Event-based Data
- A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
- Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
- Winning Solution of the AIcrowd SBB Flatland Challenge 2019-2020
- Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees
- Learning Generalized Gumbel-max Causal Mechanisms
- Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
- The Science of Rejection: A Research Area for Human Computation
- A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning
- Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
- FairAutoML: Embracing Unfairness Mitigation in AutoML
- DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies
- Variational Auto-Encoder Architectures that Excel at Causal Inference
- Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
- Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
- Automated question generation and question answering from Turkish texts
- AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
- SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
- Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms
- Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
- MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification
- Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM
- Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
- Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
- Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
- Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans
- Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
- Online-compatible Unsupervised Non-resonant Anomaly Detection
- Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI
- Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI
- Kalman Filtering with Adversarial Corruptions
- The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
- Super-resolving Dark Matter Halos using Generative Deep Learning
- Theoretical Foundations of δ-margin Majority Voting
- Full-Body Visual Self-Modeling of Robot Morphologies
- Learning Signal-Agnostic Manifolds of Neural Fields
- Masked Autoencoders Are Scalable Vision Learners
- Quantum Model-Discovery
- Answer Set Programming Made Easy
- Learning from Mistakes -- A Framework for Neural Architecture Search
- Unsupervised Part Discovery from Contrastive Reconstruction
- Character-level HyperNetworks for Hate Speech Detection
- Identification of Fine-Grained Location Mentions in Crisis Tweets
- Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset
- Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization
- Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
- Implicit SVD for Graph Representation Learning
- Self-Normalized Importance Sampling for Neural Language Modeling
- Automatically identifying a mobile phone user's position within a vehicle
- On Recovering the Best Rank-r Approximation from Few Entries
- Related Work on Image Quality Assessment
- Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
- DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
- 6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping
- Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Design
- Raman spectroscopy in open world learning settings using the Objectosphere approach
- AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training Partner
- Dense Unsupervised Learning for Video Segmentation
- Improvements to short-term weather prediction with recurrent-convolutional networks
- Discovering and Explaining the Representation Bottleneck of DNNs
- Training Cross-Lingual embeddings for Setswana and Sepedi
- Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning
- Model-Based Reinforcement Learning via Stochastic Hybrid Models
- Defining and Quantifying the Emergence of Sparse Concepts in DNNs
- Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
- Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
- An Enactivist account of Mind Reading in Natural Language Understanding
- BOiLS: Bayesian Optimisation for Logic Synthesis
- Training neural networks with synthetic electrocardiograms
- Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
- Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
- Clicking Matters:Towards Interactive Human Parsing
- Understanding mobility in networks: A node embedding approach
- A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
- Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
- Improving Novelty Detection using the Reconstructions of Nearest Neighbours
- FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
- Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
- From words to connections: Word use similarity as an honest signal conducive to employees' digital communication
- Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
- Fine-Grained Image Analysis with Deep Learning: A Survey
- Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
- Open surgery tool classification and hand utilization using a multi-camera system
- A Survey of Visual Transformers
- Classification of URL bitstreams using Bag of Bytes
- A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
- A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
- Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture
- Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
- CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction
All 126
- Solving Multi-Arm Bandit Using a Few Bits of Communication
- On the Equivalence between Neural Network and Support Vector Machine
- Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
- Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series
- Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
- Indian Licence Plate Dataset in the wild
- Improving Large-scale Language Models and Resources for Filipino
- Music Score Expansion with Variable-Length Infilling
- Hybrid Saturation Restoration for LDR Images of HDR Scenes
- Constrained Stochastic Submodular Maximization with State-Dependent Costs
- CubeTR: Learning to Solve The Rubiks Cube Using Transformers
- Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
- FINO: Flow-based Joint Image and Noise Model
- Causal KL: Evaluating Causal Discovery
- Theoretical Exploration of Flexible Transmitter Model
- Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
- HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
- Probabilistic Contrastive Learning for Domain Adaptation
- csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
- Synthetic Document Generator for Annotation-free Layout Recognition
- AlphaGarden: Learning to Autonomously Tend a Polyculture Garden
- Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
- Climate Modeling with Neural Diffusion Equations
- Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
- Agent Spaces
- Detecting Fake Points of Interest from Location Data