Papers
Fri 31 Dec 2021
97 papers
- Stochastic convex optimization for provably efficient apprenticeship learningOffline RL and imitation learning from data → Inverse reinforcement learning
- Single-Shot Pruning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Importance of Empirical Sample Complexity Analysis for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Robust Entropy-regularized Markov Decision ProcessesOffline RL and imitation learning from data → Offline RL algorithms
- Conditional Generative Data-free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- An Intelligent Self-driving Truck System For Highway TransportationEnd-to-end autonomous driving → End-to-end system architecture
- Data-Free Knowledge Transfer: A SurveyKnowledge distillation → General knowledge distillation methods
- A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot
- DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
- Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network
- Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression
- How do lexical semantics affect translation? An empirical study
- Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders
- BARACK: Partially Supervised Group Robustness With Guarantees
- Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems
- iCaps: Iterative Category-level Object Pose and Shape Estimation
- Representation Topology Divergence: A Method for Comparing Neural Network Representations
- Optimal Representations for Covariate Shift
- Evaluating Deep Music Generation Methods Using Data Augmentation
- Transformer Embeddings of Irregularly Spaced Events and Their Participants
- Multi-Dimensional Model Compression of Vision Transformer
- Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
- TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
- Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification
- Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
- A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level
- 3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials
- How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization
- Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
- PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
- Actor Loss of Soft Actor Critic Explained
- An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
- Improving Baselines in the Wild
- Training and Generating Neural Networks in Compressed Weight Space
- OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies
- on the effectiveness of generative adversarial network on anomaly detection
- Machine learning based disease diagnosis: A comprehensive review
- Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up
- Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
- Transfer learning for cancer diagnosis in histopathological images
- Inferring perceptual decision making parameters from behavior in production and reproduction tasks
- Transfer learning of phase transitions in percolation and directed percolation
- Scene-Adaptive Attention Network for Crowd Counting
- A Research Agenda for AI Planning in the Field of Flexible Production Systems
- Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
- Social Neuro AI: Social Interaction as the "dark matter" of AI
- Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
- Facial-Sketch Synthesis: A New Challenge
- Modelling matrix time series via a tensor CP-decomposition
- Representation Learning via Consistent Assignment of Views to Clusters
- Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification
- Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
- Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
- Towards the global vision of engagement of Generation Z at the workplace: Mathematical modeling
- A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
- InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
- High Dimensional Optimization through the Lens of Machine Learning
- Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning
- Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
- Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks
- Weakly Supervised Change Detection Using Guided Anisotropic Difusion
- Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
- Making AI 'Smart': Bridging AI and Cognitive Science
- OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data
- Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation
- Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
- Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers
- P2P-Loc: Point to Point Tiny Person Localization
- Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot
- Binary Diffing as a Network Alignment Problem via Belief Propagation
- Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing
- Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
- On Distinctive Properties of Universal Perturbations
- Sufficient-Statistic Memory AMP
- Deconfounded Visual Grounding
- InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer
- A Critical Review of Inductive Logic Programming Techniques for Explainable AI
- SplitBrain: Hybrid Data and Model Parallel Deep Learning
- Bayesian Optimization of Function Networks
- SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning
- CSformer: Bridging Convolution and Transformer for Compressive Sensing
- Neural Hierarchical Factorization Machines for User's Event Sequence Analysis
- Domain Adaptation with Category Attention Network for Deep Sentiment Analysis
- Distributed Random Reshuffling over Networks
- Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification
- ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
- What is Event Knowledge Graph: A Survey
- Machine Learning Application Development: Practitioners' Insights
- Learned Coarse Models for Efficient Turbulence Simulation
- ViNMT: Neural Machine Translation Toolkit
- BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture
- Entropy Regularized Optimal Transport Independence Criterion
- Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach
- First order linear logic and tensor type calculus for categorial grammars
- Benign Overfitting in Adversarially Robust Linear Classification
- When are Iterative Gaussian Processes Reliably Accurate?
- An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow