Papers
Sat 12 Feb 2022
81 papers
- Robust Learning from Observation with Model MisspecificationOffline RL and imitation learning from data → Imitation learning methods
- Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schr"odinger's EquationMixture-of-experts → MoE theory and gating functions
- Memory-augmented Deep Unfolding Network for Guided Image Super-resolution
- Proximal PanNet: A Model-Based Deep Network for Pansharpening
- Double-Barreled Question Detection at Momentive
- Benchmark Assessment for DeepSpeed Optimization Library
- Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility
- Fuzzy Pooling
- SemiRetro: Semi-template framework boosts deep retrosynthesis prediction
- Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize Glyphs and Font-Styles
- Reversible data hiding with dual pixel-value-ordering and1minimum prediction error expansion
- Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization
- Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
- An Automated Analysis Framework for Trajectory Datasets
- State of AI Ethics Report (Volume 6, February 2022)
- DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
- Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
- Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference
- InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools
- Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
- Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
- The Impact of Using Regression Models to Build Defect Classifiers
- Analysis of Dual-Based PID Controllers through Convolutional Mirror Descent
- Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
- Adaptive Bandit Convex Optimization with Heterogeneous Curvature
- Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue Reports
- Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering
- Learning Revenue Maximization using Posted Prices for Stochastic Strategic Patient Buyers
- Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
- MIONet: Learning multiple-input operators via tensor product
- No-Regret Bayesian Recommendation to Homogeneous Users
- Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
- RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
- Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network
- Breast Cancer Detection using Histopathological Images
- On Federated Learning with Energy Harvesting Clients
- Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
- Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network
- A Review of Deep Learning-based Approaches for Deepfake Content Detection
- TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding
- NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing
- From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook
- Online V2X Scheduling for Raw-Level Cooperative Perception
- EREBA: Black-box Energy Testing of Adaptive Neural Networks
- Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
- Recognition-free Question Answering on Handwritten Document Collections
- Text and Image Guided 3D Avatar Generation and Manipulation
- Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
- Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations
- Predicting Pollution Level Using Random Forest: A Case Study of Marilao River in Bulacan Province, Philippines
- Depth-Cooperated Trimodal Network for Video Salient Object Detection
- Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
- Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
- USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder
- RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
- A multi-task semi-supervised framework for Text2Graph & Graph2Text
- Neural NID Rules
- Deep Performer: Score-to-Audio Music Performance Synthesis
- OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
- End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
- Fun Selfie Filters in Face Recognition: Impact Assessment and Removal
- Towards Continuous Consistency Axiom
- Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
- Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
- What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
- Mixture of Online and Offline Experts for Non-stationary Time Series
- RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
- Uncalibrated Models Can Improve Human-AI Collaboration
- Robust Deep Semi-Supervised Learning: A Brief Introduction
- Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment
- Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents
- Private Adaptive Optimization with Side Information
- High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques
- Audio-Visual Fusion Layers for Event Type Aware Video Recognition
- Formalization of a Stochastic Approximation Theorem
- Confident AI
- Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
- Artificial Intelligence and Auction Design
- Artificial Intelligence and Spontaneous Collusion
- Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention
- Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection