Papers
Wed 10 Mar 2021
157 papers
- S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesKnowledge distillation → General knowledge distillation methods
- Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Learning from Imperfect Demonstrations from Agents with Varying DynamicsOffline RL and imitation learning from data → Imitation learning methods
- Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich TasksOffline RL and imitation learning from data → Robot learning from demonstration
- WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite AutomataOffline RL and imitation learning from data → Inverse reinforcement learning
- Incorporating Orientations into End-to-end Driving Model for Steering ControlEnd-to-end autonomous driving → End-to-end system architecture
- An IoT-Based Framework for Remote Fall Monitoring
- Energy Decay Network (EDeN)
- Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks
- Linear Constraints Learning for Spiking Neurons
- Optimal Targeting in Fundraising: A Causal Machine-Learning Approach
- Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing
- Rapid parameter estimation of discrete decaying signals using autoencoder networks
- BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
- Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
- Trainless Model Performance Estimation for Neural Architecture Search
- An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
- EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition
- Machine Learning for Massive Industrial Internet of Things
- PatchNet -- Short-range Template Matching for Efficient Video Processing
- Empirical Mode Modeling: A data-driven approach to recover and forecast nonlinear dynamics from noisy data
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
- Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
- Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
- A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
- Disentangled Representation Learning for Astronomical Chemical Tagging
- Functional Collection Programming with Semi-Ring Dictionaries
- Hard Attention Control By Mutual Information Maximization
- Causal-aware Safe Policy Improvement for Task-oriented dialogue
- Majority Voting with Bidirectional Pre-translation For Bitext Retrieval
- Structure-From-Motion and RGBD Depth Fusion
- User-centered Evaluation of Popularity Bias in Recommender Systems
- A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
- ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
- Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
- Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
- Enhancing VMAF through New Feature Integration and Model Combination
- Unified Pre-training for Program Understanding and Generation
- Hurdles to Progress in Long-form Question Answering
- Face Images as Jigsaw Puzzles: Compositional Perception of Human Faces for Machines Using Generative Adversarial Networks
- Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk
- Affine-Mapping based Variational Ensemble Kalman Filter
- What is Multimodality?
- TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
- Learning-Based Vulnerability Analysis of Cyber-Physical Systems
- Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images
- CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
- Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
- A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
- Maximum Entropy RL (Provably) Solves Some Robust RL Problems
- A registration error estimation framework for correlative imaging
- Involution: Inverting the Inherence of Convolution for Visual Recognition
- Interpretable Machine Learning: Moving From Mythos to Diagnostics
- Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
- CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
- Symmetry Breaking in Symmetric Tensor Decomposition
- Quantum machine learning with differential privacy
- Quantization-Guided Training for Compact TinyML Models
- Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
- An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning
- A Relational-learning Perspective to Multi-label Chest X-ray Classification
- Why flatness does and does not correlate with generalization for deep neural networks
- Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
- Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
- A Study of Face Obfuscation in ImageNet
- Piecewise linear regression and classification
- A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations
- Dynamical Pose Estimation
- Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
- Regressive Domain Adaptation for Unsupervised Keypoint Detection
- Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
- Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge
- Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization
- Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions
- Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System
- Adversarial Regression Learning for Bone Age Estimation
- Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
- MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
- Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
- Spatially Consistent Representation Learning
- Techniques for Jointly Extracting Entities and Relations: A Survey
- Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
- Symmetry meets AI
- A critical reappraisal of predicting suicidal ideation using fMRI
- Time-Ordered Recent Event (TORE) Volumes for Event Cameras
- BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
- U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
- Variable-rate discrete representation learning
- Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
- Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
- Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
- Graph Neural Networks Inspired by Classical Iterative Algorithms
- Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models
- Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array
- Cross-modal Image Retrieval with Deep Mutual Information Maximization
- Deep Superpixel Cut for Unsupervised Image Segmentation
- FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
- Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
- Principal component-based image segmentation: a new approach to outline in vitro cell colonies
All 157
- Deep learning methods for screening patients' S-ICD implantation eligibility
- DSEC: A Stereo Event Camera Dataset for Driving Scenarios
- A Result based Portable Framework for Spoken Language Understanding
- Robustness to Pruning Predicts Generalization in Deep Neural Networks
- Quality-Aware Network for Human Parsing
- Wide Aspect Ratio Matching for Robust Face Detection
- Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
- Reformulating HOI Detection as Adaptive Set Prediction
- Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
- SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
- Oversampling errors in multimodal medical imaging are due to the Gibbs effect
- COLA-Net: Collaborative Attention Network for Image Restoration
- Spatiotemporal Registration for Event-based Visual Odometry
- Self-Learning for Zero Shot Neural Machine Translation
- FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
- Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information
- Mean-field methods and algorithmic perspectives for high-dimensional machine learning
- How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
- TransMed: Transformers Advance Multi-modal Medical Image Classification
- A Review and Refinement of Surprise Adequacy
- AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
- MapFusion: A General Framework for 3D Object Detection with HDMaps
- Deep Sensing of Urban Waterlogging
- Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
- RMP2: A Structured Composable Policy Class for Robot Learning
- An Image-based Approach of Task-driven Driving Scene Categorization
- ES-Net: Erasing Salient Parts to Learn More in Re-Identification
- SocialInteractionGAN: Multi-person Interaction Sequence Generation
- A variational inference framework for inverse problems
- DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction
- Linear Bandits on Uniformly Convex Sets
- VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
- Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss
- RL-CSDia: Representation Learning of Computer Science Diagrams
- Limitations of Post-Hoc Feature Alignment for Robustness
- Streaming Linear System Identification with Reverse Experience Replay
- Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
- Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tank
- Sampling methods for efficient training of graph convolutional networks: A survey
- AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
- Manifold Regularized Dynamic Network Pruning
- Novel tile segmentation scheme for omnidirectional video
- Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport
- Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis
- Multicalibrated Partitions for Importance Weights
- A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
- BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks
- Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
- Learning to compose 6-DoF omnidirectional videos using multi-sphere images
- Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
- ELLA: Exploration through Learned Language Abstraction
- Fast and flexible: Human program induction in abstract reasoning tasks
- Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
- Reframing Neural Networks: Deep Structure in Overcomplete Representations
- Topology Applied to Machine Learning: From Global to Local
- Universal Approximation of Residual Flows in Maximum Mean Discrepancy
- An Amharic News Text classification Dataset