Papers
Tue 28 Sep 2021
164 papers
- Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional NetworksWorld models → World modeling from LiDAR generation
- An Offline Deep Reinforcement Learning for Maintenance Decision-MakingOffline RL and imitation learning from data → Offline RL algorithms
- Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeDiffusion models → Audio, speech and music
- SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policiesEnd-to-end autonomous driving → End-to-end system architecture
- Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent ClassificationKnowledge distillation → Speech and audio distillation
- Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text
- Data-driven Residual Generation for Early Fault Detection with Limited Data
- Word-level confidence estimation for RNN transducers
- Private Language Model Adaptation for Speech Recognition
- Physical Context and Timing Aware Sequence Generating GANs
- A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation
- Prediction of the Facial Growth Direction is Challenging
- Compiling Turing Machines into Storage Modification Machines
- Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
- Neural Dependency Coding inspired Multimodal Fusion
- Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
- Focus! Rating XAI Methods and Finding Biases
- Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction
- An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry
- How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification
- Reversible Gromov-Monge Sampler for Simulation-Based Inference
- VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
- Sample-Efficient Safety Assurances using Conformal Prediction
- RAFT: A Real-World Few-Shot Text Classification Benchmark
- The impact of non-target events in synthetic soundscapes for sound event detection
- Generating Summaries for Scientific Paper Review
- AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging
- Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution
- Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
- Local Repair of Neural Networks Using Optimization
- Marked Attribute Bias in Natural Language Inference
- Formalizing the Generalization-Forgetting Trade-off in Continual Learning
- Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations
- Deep Unrolled Recovery in Sparse Biological Imaging
- Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
- Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations
- slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
- IGLU: Efficient GCN Training via Lazy Updates
- Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
- Text Simplification for Comprehension-based Question-Answering
- Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems
- Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations
- Risk averse non-stationary multi-armed bandits
- Competence-Aware Path Planning via Introspective Perception
- An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition
- Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
- A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients
- All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
- Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models
- Unsolved Problems in ML Safety
- f-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
- PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
- Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow
- Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning
- A Contrastive Learning Approach to Auroral Identification and Classification
- Cluster Analysis of a Symbolic Regression Search Space
- Image scaling by de la Vall'ee-Poussin filtered interpolation
- Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication
- Explainable Machine Larning for liver transplantation
- Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0
- Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
- How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors
- A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works!
- Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation
- Single-dataset Experts for Multi-dataset Question Answering
- 3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition
- Expectation-based Minimalist Grammars
- A First-Occupancy Representation for Reinforcement Learning
- Actionable Entities Recognition Benchmark for Interactive Fiction
- Reinforcement Learning for Quantitative Trading
- Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations
- An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data
- Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence
- What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
- Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query
- Grassmannian diffusion maps based surrogate modeling via geometric harmonics
- Faster Improvement Rate Population Based Training
- The VVAD-LRS3 Dataset for Visual Voice Activity Detection
- PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
- Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses
- Macroeconomic forecasting with LSTM and mixed frequency time series data
- Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
- Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings
- On Homophony and R'enyi Entropy
- Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
- StereoSpike: Depth Learning with a Spiking Neural Network
- Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
- Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method
- Adaptive Attribute and Structure Subspace Clustering Network
- MSR-NV: Neural Vocoder Using Multiple Sampling Rates
- One to rule them all: Towards Joint Indic Language Hate Speech Detection
- Opportunistic Multi-Modal User Authentication for Health-Tracking IoT Wearables
- Diffractive lensless imaging with optimized Voronoi-Fresnel phase
- CIDEr-R: Robust Consensus-based Image Description Evaluation
- Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
- Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
- Motion Deblurring with Real Events
- Machine learning methods for prediction of cancer driver genes: a survey paper
All 164
- Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
- Improved prediction rule ensembling through model-based data generation
- Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach
- Multilingual Counter Narrative Type Classification
- DeepPSL: End-to-end perception and reasoning
- Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints
- Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling
- An Efficient Network Design for Face Video Super-resolution
- Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
- Active Learning for Argument Mining: A Practical Approach
- Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data
- Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs
- Exploratory State Representation Learning
- The Fragility of Optimized Bandit Algorithms
- Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
- Learning Ideological Embeddings from Information Cascades
- Making Curiosity Explicit in Vision-based RL
- PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding
- Multimodality in Meta-Learning: A Comprehensive Survey
- Information Elevation Network for Fast Online Action Detection
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
- Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
- A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
- Convergence of Deep Convolutional Neural Networks
- Extracting Attentive Social Temporal Excitation for Sequential Recommendation
- A hierarchical residual network with compact triplet-center loss for sketch recognition
- Template-free Prompt Tuning for Few-shot NER
- Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models
- Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
- A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples
- Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
- VoxCeleb Enrichment for Age and Gender Recognition
- Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning
- Learning to Superoptimize Real-world Programs
- Instance-Based Neural Dependency Parsing
- Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation
- Optimal Orthogonal Group Synchronization and Rotation Group Synchronization
- "How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations
- Towards Rotation Invariance in Object Detection
- Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
- Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
- Exploring More When It Needs in Deep Reinforcement Learning
- An Automated Approach to Causal Inference in Discrete Settings
- Delve into the Performance Degradation of Differentiable Architecture Search
- Deep Reinforcement Learning with Adjustments
- Multiwavelet-based Operator Learning for Differential Equations
- SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
- CateCom: a practical data-centric approach to categorization of computational models
- When in Doubt: Improving Classification Performance with Alternating Normalization
- Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping
- Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations
- An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation
- DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs
- Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
- SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
- The JHU submission to VoxSRC-21: Track 3
- Weakly Supervised Keypoint Discovery
- Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition
- The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
- Interactive Dynamic Walking: Learning Gait Switching Policies with Generalization Guarantees
- Discriminative Attribution from Counterfactuals
- KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
- DEBOSH: Deep Bayesian Shape Optimization
- Visually Grounded Reasoning across Languages and Cultures