Papers
Sun 7 Mar 2021
83 papers
- A Lower Bound for the Sample Complexity of Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International CricketLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving DataEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text ClassificationLLM safety and security → Backdoor and data poisoning attacks
- On Ensemble Learning
- Sentiment Analysis for Troll Detection on Weibo
- Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes
- Ensemble approach for detection of depression using EEG features
- Hybrid Model with Time Modeling for Sequential Recommender Systems
- A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification
- Cluster Analysis of Malware Family Relationships
- Word Embedding Techniques for Malware Evolution Detection
- Continual Developmental Neurosimulation Using Embodied Computational Agents
- Universal Adversarial Perturbations and Image Spam Classifiers
- CNN-based Spoken Term Detection and Localization without Dynamic Programming
- Optimized Object Tracking Technique Using Kalman Filter
- Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
- Use square root affinity to regress labels in semantic segmentation
- Deep learning-based super-resolution fluorescence microscopy on small datasets
- Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
- Convolutional Graph-Tensor Net for Graph Data Completion
- Local word statistics affect reading times independently of surprisal
- Efficient Model Performance Estimation via Feature Histories
- Toward Semi-Automatic Misconception Discovery Using Code Embeddings
- Adaptive Agent Architecture for Real-time Human-Agent Teaming
- Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain
- Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
- TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
- Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
- The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning
- Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
- Multimodal VAE Active Inference Controller
- What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
- Improving Text-to-SQL with Schema Dependency Learning
- A Retrospective Approximation Approach for Smooth Stochastic Optimization
- CORe: Capitalizing On Rewards in Bandit Exploration
- Automatic Difficulty Classification of Arabic Sentences
- Automatic Flare Spot Artifact Detection and Removal in Photographs
- Repurposing GANs for One-shot Semantic Part Segmentation
- Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review
- IRON: Invariant-based Highly Robust Point Cloud Registration
- Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery
- Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
- Learning a State Representation and Navigation in Cluttered and Dynamic Environments
- Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
- Graph Force Learning
- Network Representation Learning: From Traditional Feature Learning to Deep Learning
- Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
- Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
- Auto-tuning of Deep Neural Networks by Conflicting Layer Removal
- Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition
- The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
- Implementing graph neural networks with TensorFlow-Keras
- ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building
- Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique
- Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
- Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
- Learn to Differ: Sim2Real Small Defection Segmentation Network
- Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution
- MTLHealth: A Deep Learning System for Detecting Disturbing Content in Student Essays
- RFN-Nest: An end-to-end residual fusion network for infrared and visible images
- Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
- Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
- Routing Towards Discriminative Power of Class Capsules
- Robust Reflection Removal with Reflection-free Flash-only Cues
- Deepfake Videos in the Wild: Analysis and Detection
- ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
- High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
- Student-Teacher Feature Pyramid Matching for Anomaly Detection
- Robust Point Cloud Registration Framework Based on Deep Graph Matching
- Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
- RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
- Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
- Estimating and Improving Fairness with Adversarial Learning
- Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
- GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
- Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings
- MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
- TypeShift: A User Interface for Visualizing the Typing Production Process
- Spectral Tensor Train Parameterization of Deep Learning Layers
- Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
- Hierarchical Causal Bandit