Papers
Thu 30 Sep 2021
171 papers
- Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision AvoidanceEnd-to-end autonomous driving → Cooperative and V2X driving
- Multilingual AMR Parsing with Noisy Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer ProgrammingEnd-to-end autonomous driving → Cooperative and V2X driving
- Deep Neural Compression Via Concurrent Pruning and Self-DistillationKnowledge distillation → General knowledge distillation methods
- Prune Your Model Before Distill ItKnowledge distillation → General knowledge distillation methods
- A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Images
- Self-conditioning pre-trained language models
- The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks
- Blind Coherent Preamble Detection via Neural Networks
- Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
- Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
- Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
- Paradigm Shift Through the Integration of Physical Methodology and Data Science
- MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
- RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
- Prediction of IPL Match Outcome Using Machine Learning Techniques
- Mulberry Leaf Yield Prediction Using Machine Learning Techniques
- A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs
- Neural Network Verification in Control
- Development of the algorithm for differentiating bone metastases and trauma of the ribs in bone scintigraphy and demonstration of visual evidence of the algorithm -- Using only anterior bone scan view of thorax
- Emergence of Theory of Mind Collaboration in Multiagent Systems
- HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge
- #ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
- Comparing Sequential Forecasters
- Deep Learning-based Action Detection in Untrimmed Videos: A Survey
- DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
- Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
- Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm
- Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
- On the Trustworthiness of Tree Ensemble Explainability Methods
- Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths
- Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
- Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions
- Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning
- PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
- PubTables-1M: Towards comprehensive table extraction from unstructured documents
- Learning to Predict Trustworthiness with Steep Slope Loss
- Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
- SpliceOut: A Simple and Efficient Audio Augmentation Method
- Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms
- Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases
- Mining for Strong Gravitational Lenses with Self-supervised Learning
- Sensor-Guided Optical Flow
- Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
- Scalable Online Planning via Reinforcement Learning Fine-Tuning
- Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari
- Semi-Supervised Text Classification via Self-Pretraining
- Identity-Disentangled Neural Deformation Model for Dynamic Meshes
- Multi-granular Legal Topic Classification on Greek Legislation
- Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
- MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
- Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
- Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images
- DAAS: Differentiable Architecture and Augmentation Policy Search
- T"oRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
- Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
- Latent Network Embedding via Adversarial Auto-encoders
- Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
- SlovakBERT: Slovak Masked Language Model
- Transferability Estimation for Semantic Segmentation Task
- Multi Scale Graph Wavenet for Wind Speed Forecasting
- Solving the Real Robot Challenge using Deep Reinforcement Learning
- Real-Time Tactile Grasp Force Sensing Using Fingernail Imaging via Deep Neural Networks
- Adapting Bandit Algorithms for Settings with Sequentially Available Arms
- Coding for Straggler Mitigation in Federated Learning
- Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
- A formal model for ledger management systems based on contracts and temporal logic
- Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
- Semi-tensor Product-based TensorDecomposition for Neural Network Compression
- Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising
- You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
- Coordinated Reinforcement Learning for Optimizing Mobile Networks
- CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
- A Technical Report for ICCV 2021 VIPriors Re-identification Challenge
- HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
- Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
- Focused Contrastive Training for Test-based Constituency Analysis
- Causal Matrix Completion
- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism
- Deep Embedded K-Means Clustering
- Reinforcement Learning with Information-Theoretic Actuation
- A Review of Text Style Transfer using Deep Learning
- Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
- Predicting Code Review Completion Time in Modern Code Review
- Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection
- Variational Marginal Particle Filters
- Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
- CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
- Scalable Rule-Based Representation Learning for Interpretable Classification
- Fake It Till You Make It: Face analysis in the wild using synthetic data alone
- Compositional generalization in semantic parsing with pretrained transformers
- Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
- Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
- Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
- Towards Efficient Post-training Quantization of Pre-trained Language Models
- iShape: A First Step Towards Irregular Shape Instance Segmentation
- Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks
- Towards Principled Causal Effect Estimation by Deep Identifiable Models
- Fine-tuning wav2vec2 for speaker recognition
- Scale-invariant Learning by Physics Inversion
All 171
- Deep Contextual Video Compression
- SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
- Riedones3D: a celtic coin dataset for registration and fine-grained clustering
- 3D Pose Transfer with Correspondence Learning and Mesh Refinement
- On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
- Robust Allocations with Diversity Constraints
- USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
- Adversarial Semantic Contour for Object Detection
- SCIMAT: Science and Mathematics Dataset
- XPROAX-Local explanations for text classification with progressive neighborhood approximation
- A surprisal--duration trade-off across and within the world's languages
- A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning
- Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
- The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
- Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
- Moving Object Detection for Event-based vision using Graph Spectral Clustering
- Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
- A Friend Recommendation System using Semantic Based KNN Algorithm
- Augmented reality navigation system for visual prosthesis
- Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
- A useful criterion on studying consistent estimation in community detection
- Crowdsourcing through Cognitive Opportunistic Networks
- Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry
- Learning the Markov Decision Process in the Sparse Gaussian Elimination
- BERT got a Date: Introducing Transformers to Temporal Tagging
- Genealogical Population-Based Training for Hyperparameter Optimization
- A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
- Forming a sparse representation for visual place recognition using a neurorobotic approach
- CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
- DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features
- Impact of Channel Variation on One-Class Learning for Spoof Detection
- Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
- How Neural Processes Improve Graph Link Prediction
- Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
- Process discovery on deviant traces and other stranger things
- Extracting stochastic dynamical systems with α-stable L'evy noise from data
- Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
- Accelerating Fully Connected Neural Network on Optical Network-on-Chip (ONoC)
- Adversarial Regression with Doubly Non-negative Weighting Matrices
- Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
- From Zero-Shot Machine Learning to Zero-Day Attack Detection
- HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
- Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion
- First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
- Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
- Sim2Real for Soft Robotic Fish via Differentiable Simulation
- AffectGAN: Affect-Based Generative Art Driven by Semantics
- LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
- A system on chip for melanoma detection using FPGA-based SVM classifier
- End-to-End Image Compression with Probabilistic Decoding
- IntentVizor: Towards Generic Query Guided Interactive Video Summarization
- Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
- Semantic Dense Reconstruction with Consistent Scene Segments
- A Generalized Hierarchical Nonnegative Tensor Decomposition
- Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation
- COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models
- GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
- Surveillance Evasion Through Bayesian Reinforcement Learning
- Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
- Introducing the DOME Activation Functions
- Emergency Vehicles Audio Detection and Localization in Autonomous Driving
- Phonetic Word Embeddings
- Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
- Automated airway segmentation by learning graphical structure
- Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
- Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire
- CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
- Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications
- A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors
- An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
- Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods