Papers
Thu 4 Feb 2021
127 papers
- Feedback in Imitation Learning: The Three Regimes of Covariate ShiftOffline RL and imitation learning from data → Imitation learning methods
- ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsLLM safety and security → Membership inference attacks
- Exploring Beyond-Demonstrator via Meta Learning-Based Reward ExtrapolationOffline RL and imitation learning from data → Inverse reinforcement learning
- Forecasting Using Reservoir Computing: The Role of Generalized Synchronization
- Reinforced Contact Tracing and Epidemic Intervention
- High-level Approaches to Detect Malicious Political Activity on Twitter
- Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
- AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
- Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
- Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
- Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
- Generalized Zero-shot Intent Detection via Commonsense Knowledge
- PredCoin: Defense against Query-based Hard-label Attack
- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
- How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
- Progressive Neural Image Compression with Nested Quantization and Latent Ordering
- Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering
- Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation
- Automated Rip Current Detection with Region based Convolutional Neural Networks
- Compressed Object Detection
- Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images
- Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
- 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
- Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
- Ivy: Templated Deep Learning for Inter-Framework Portability
- Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images
- Aggregating Bipolar Opinions (With Appendix)
- Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time Signals
- ChainCQG: Flow-Aware Conversational Question Generation
- Learning the Update Operator for 2D/3D Image Registration
- Machine Learning for Auxiliary Sources
- Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study
- Undecidability of Underfitting in Learning Algorithms
- Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings
- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance
- Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
- Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
- Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
- CrossNorm and SelfNorm for Generalization under Distribution Shifts
- Controlling Hallucinations at Word Level in Data-to-Text Generation
- Multi-Stage Progressive Image Restoration
- How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation
- A Deeper Look into Convolutions via Eigenvalue-based Pruning
- Federated mmWave Beam Selection Utilizing LIDAR Data
- Im2Vec: Synthesizing Vector Graphics without Vector Supervision
- RECol: Reconstruction Error Columns for Outlier Detection
- Disambiguation of weak supervision with exponential convergence rates
- Egalitarian Judgment Aggregation
- Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
- Unifying Vision-and-Language Tasks via Text Generation
- Mask Guided Attention For Fine-Grained Patchy Image Classification
- Designing an Encoder for StyleGAN Image Manipulation
- A 5 μ W Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing
- Instance-based learning using the Half-Space Proximal Graph
- Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
- Materializing Knowledge Bases via Trigger Graphs
- Semi-Supervised Action Recognition with Temporal Contrastive Learning
- Hawkes Processes on Graphons
- Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
- Computational identification of significant actors in paintings through symbols and attributes
- Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback
- Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
- Data-to-text Generation with Macro Planning
- RoI Tanh-polar Transformer Network for Face Parsing in the Wild
- Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
- ProxyFAUG: Proximity-based Fingerprint Augmentation
- EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models
- Covid-19 risk factors: Statistical learning from German healthcare claims data
- Active Boundary Loss for Semantic Segmentation
- Invertible DenseNets with Concatenated LipSwish
- HMC, an Algorithms in Data Mining, the Functional Analysis approach
- TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
- Impossibility of Partial Recovery in the Graph Alignment Problem
- Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
- Triadic Exploration and Exploration with Multiple Experts
- Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
- Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach
- Universal Approximation Theorems of Fully Connected Binarized Neural Networks
- Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
- Optimised one-class classification performance
- A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
- CKConv: Continuous Kernel Convolution For Sequential Data
- Lookup subnet based Spatial Graph Convolutional neural Network
- Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
- One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages
- Exploring Scale-Measures of Data Sets
- Incremental Beam Manipulation for Natural Language Generation
- Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
- Adaptive Semiparametric Language Models
- Dual-embedding based Neural Collaborative Filtering for Recommender Systems
- CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
- The Importance of Models in Data Analysis with Small Human Movement Datasets -- Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
- Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids
- ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
- HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
- FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
- Meta-strategy for Learning Tuning Parameters with Guarantees
- Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
- 3D Surface Reconstruction From Multi-Date Satellite Images
- Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models
All 127
- From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
- Image Restoration by Deep Projected GSURE
- Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection
- Transfer Learning in Bandits with Latent Continuity
- Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling
- DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
- Deep Face Fuzzy Vault: Implementation and Performance
- Sharper Sub-Weibull Concentrations
- The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System
- Persistent Rule-based Interactive Reinforcement Learning
- Converse, Focus and Guess -- Towards Multi-Document Driven Dialogue
- Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
- Audio Adversarial Examples: Attacks Using Vocal Masks
- An end-to-end trainable hybrid classical-quantum classifier
- Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
- A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
- Variational Inference for Deblending Crowded Starfields
- An efficient optimization based microstructure reconstruction approach with multiple loss functions
- SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation
- Provably End-to-end Label-Noise Learning without Anchor Points
- Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
- A Universal Framework for Featurization of Atomistic Systems
- A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA)
- A review of motion planning algorithms for intelligent robotics
- Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
- MeInGame: Create a Game Character Face from a Single Portrait
- Wind Field Reconstruction with Adaptive Random Fourier Features