Papers
Mon 6 Dec 2021
185 papers
- A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- Anchoring to Exemplars for Training Mixture-of-Expert Cell EmbeddingsMixture-of-experts → Medical and biomedical MoE
- Diffusion Models for Implicit Image Segmentation EnsemblesDiffusion models → Medical imaging and segmentation
- Label-Efficient Semantic Segmentation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC TasksOffline RL and imitation learning from data → Offline multi-agent RL
- ED2: Environment Dynamics Decomposition World Models for Continuous ControlWorld models → Latent dynamics models and model-based RL
- ML Attack Models: Adversarial Attacks and Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Diagnostic Assessment Generation via Combinatorial Search
- Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
- Learning Personal Representations from fMRIby Predicting Neurofeedback Performance
- Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review
- What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
- Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? -- A Case Study using Dual Energy CT Data
- Learning to Solve Hard Minimal Problems
- Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision
- Virtual Replay Cache
- Using Image Transformations to Learn Network Structure
- Producing augmentation-invariant embeddings from real-life imagery
- JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction
- Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models
- Top-Down Deep Clustering with Multi-generator GANs
- Manas: Mining Software Repositories to Assist AutoML
- Guided Imitation of Task and Motion Planning
- Graph Neural Networks Accelerated Molecular Dynamics
- Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM)
- Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping
- Scalable Geometric Deep Learning on Molecular Graphs
- Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams
- Associative Memories Using Complex-Valued Hopfield Networks Based on Spin-Torque Oscillator Arrays
- Audio Deepfake Perceptions in College Going Populations
- Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
- Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis
- Multidimensional Assignment Problem for multipartite entity resolution
- Label Hallucination for Few-Shot Classification
- Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
- Self-Supervised Camera Self-Calibration from Video
- Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
- Noether Networks: Meta-Learning Useful Conserved Quantities
- Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
- Automation Of Transiting Exoplanet Detection, Identification and Habitability Assessment Using Machine Learning Approaches
- Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
- Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows
- Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning
- Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder
- Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling
- Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
- DoodleFormer: Creative Sketch Drawing with Transformers
- Functional Regularization for Reinforcement Learning via Learned Fourier Features
- Impact of Target Word and Context on End-to-End Metonymy Detection
- Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
- CSG0: Continual Urban Scene Generation with Zero Forgetting
- GAM Changer: Editing Generalized Additive Models with Interactive Visualization
- Input-level Inductive Biases for 3D Reconstruction
- Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
- From Coarse to Fine-grained Concept based Discrimination for Phrase Detection
- Simulation Intelligence: Towards a New Generation of Scientific Methods
- Traversing Time with Multi-Resolution Gaussian Process State-Space Models
- CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
- Context-Aware Transfer Attacks for Object Detection
- On Complexity of 1-Center in Various Metrics
- Text2Mesh: Text-Driven Neural Stylization for Meshes
- Cross-validation for change-point regression: pitfalls and solutions
- Multi-scale Feature Learning Dynamics: Insights for Double Descent
- Zero-shot hashtag segmentation for multilingual sentiment analysis
- Physically Consistent Neural Networks for building thermal modeling: theory and analysis
- Contextual Bandit Applications in Customer Support Bot
- Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
- Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
- A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
- Collective variable discovery in the age of machine learning: reality, hype and everything in between
- Online false discovery rate control for anomaly detection in time series
- Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples
- HIVE: Evaluating the Human Interpretability of Visual Explanations
- Modification-Fair Cluster Editing
- Student of Games: A unified learning algorithm for both perfect and imperfect information games
- Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach
- Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
- Feature Disentanglement of Robot Trajectories
- Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization
- Embedding Arithmetic of Multimodal Queries for Image Retrieval
- UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
- VAE based Text Style Transfer with Pivot Words Enhancement Learning
- Bounding Wasserstein distance with couplings
- Distilled Domain Randomization
- Properties of Minimizing Entropy
- Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
- Requirements for Open Political Information: Transparency Beyond Open Data
- Ethics and Creativity in Computer Vision
- General Facial Representation Learning in a Visual-Linguistic Manner
- Flood Inflow Forecast Using L2-norm Ensemble Weighting Sea Surface Feature
- Hierarchical Reinforcement Learning with Timed Subgoals
- VocBench: A Neural Vocoder Benchmark for Speech Synthesis
- Flexible Option Learning
- Transfer learning to improve streamflow forecasts in data sparse regions
- Learning Generalized Causal Structure in Time-series
- A Novel Prediction Setup for Online Speed-Scaling
- Thinking Beyond Distributions in Testing Machine Learned Models
- Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
- Scaling Up Influence Functions
- Controllable Animation of Fluid Elements in Still Images
All 185
- 3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
- Fusion Detection via Distance-Decay IoU and weighted Dempster-Shafer Evidence Theory
- Keeping it Simple: Language Models can learn Complex Molecular Distributions
- Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
- Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
- Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
- 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
- On the complexity of Dark Chinese Chess
- Lecture Notes on Partially Known MDPs
- Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
- DANets: Deep Abstract Networks for Tabular Data Classification and Regression
- Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
- Automap: Towards Ergonomic Automated Parallelism for ML Models
- The artificial synesthete: Image-melody translations with variational autoencoders
- Pairwise Learning for Neural Link Prediction
- Is Class-Incremental Enough for Continual Learning?
- Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
- When the Curious Abandon Honesty: Federated Learning Is Not Private
- Curriculum Meta-Learning for Few-shot Classification
- A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
- ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
- Parameter Efficient Deep Probabilistic Forecasting
- Interpretable Image Classification with Differentiable Prototypes Assignment
- Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN
- Seeing Objects in dark with Continual Contrastive Learning
- Joint Learning of Localized Representations from Medical Images and Reports
- Social Sourcing: Incorporating Social Networks Into Crowdsourcing Contest Design
- AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
- A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
- Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion
- Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks
- Nonstochastic Bandits with Composite Anonymous Feedback
- Autoencoders for Semivisible Jet Detection
- SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
- A comparison study of CNN denoisers on PRNU extraction
- PTTR: Relational 3D Point Cloud Object Tracking with Transformer
- Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback
- Reliable Propagation-Correction Modulation for Video Object Segmentation
- Target Entropy Annealing for Discrete Soft Actor-Critic
- No-Reference Point Cloud Quality Assessment via Domain Adaptation
- DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
- Learning-based Measurement Scheduling for Loosely-Coupled Cooperative Localization
- GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
- MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering
- Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
- A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
- Two-step Lookahead Bayesian Optimization with Inequality Constraints
- SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection
- PP-MSVSR: Multi-Stage Video Super-Resolution
- Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
- Letter-level Online Writer Identification
- Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
- Make It Move: Controllable Image-to-Video Generation with Text Descriptions
- A Survey of Deep Learning for Low-Shot Object Detection
- MDPGT: Momentum-based Decentralized Policy Gradient Tracking
- An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
- MDPFuzz: Testing Models Solving Markov Decision Processes
- Forward Compatible Training for Large-Scale Embedding Retrieval Systems
- Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion
- Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
- HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs
- Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
- Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
- Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective
- ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
- Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
- A General Framework for Debiasing in CTR Prediction
- MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
- BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
- MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
- End-to-end Adaptive Distributed Training on PaddlePaddle
- One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning
- Making a Bird AI Expert Work for You and Me
- Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
- Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
- Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization
- Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network
- CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
- A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid
- JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
- Detecting DeFi Securities Violations from Token Smart Contract Code
- Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning
- A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
- A Survey on Deep learning based Document Image Enhancement