Papers
Sun 6 Feb 2022
67 papers
- Stochastic Gradient Descent with Dependent Data for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Riemannian Score-Based Generative ModellingDiffusion models → Diffusion foundations and sampling
- Machine Learning Models in Stock Market Prediction
- Memory-Efficient Sequential Pattern Mining with Hybrid Tries
- Advanced sleep spindle identification with neural networks
- The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics
- Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
- Exploring Self-Attention Mechanisms for Speech Separation
- Approximate Policy Iteration with Bisimulation Metrics
- An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)
- HARFE: Hard-Ridge Random Feature Expansion
- Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation
- Differentiable Economics for Randomized Affine Maximizer Auctions
- Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review
- Deep Learning-Aided Spatial Multiplexing with Index Modulation
- Machine Learning Aided Holistic Handover Optimization for Emerging Networks
- A Novel Micro-service Based Platform for Composition, Deployment and Execution of BDA Applications
- Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
- Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
- A new similarity measure for covariate shift with applications to nonparametric regression
- CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI
- Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
- Anticorrelated Noise Injection for Improved Generalization
- Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
- Block shuffling learning for Deepfake Detection
- BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning
- Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
- Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
- A Coding Framework and Benchmark towards Low-Bitrate Video Understanding
- Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
- Low-confidence Samples Matter for Domain Adaptation
- Learning to be a Statistician: Learned Estimator for Number of Distinct Values
- SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm
- GLPanoDepth: Global-to-Local Panoramic Depth Estimation
- Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
- SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
- Learning Synthetic Environments and Reward Networks for Reinforcement Learning
- Energy awareness in low precision neural networks
- Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
- Learning Features with Parameter-Free Layers
- Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal
- Optimal Algorithms for Decentralized Stochastic Variational Inequalities
- Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States
- On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
- Tubes Among Us: Analog Attack on Automatic Speaker Identification
- Estimating the Euclidean quantum propagator with deep generative modeling of Feynman paths
- Enhancing variational generation through self-decomposition
- The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law
- Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks
- Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
- Portfolio Optimization on NIFTY Thematic Sector Stocks Using an LSTM Model
- Robust Anomaly Detection for Time-series Data
- FEAT: Face Editing with Attention
- Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems
- Portrait Segmentation Using Deep Learning
- Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
- How Effective is Incongruity? Implications for Code-mix Sarcasm Detection
- Hyper-Convolutions via Implicit Kernels for Medical Imaging
- Triangle Graph Interest Network for Click-through Rate Prediction
- Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning
- TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
- Featherweight Assisted Vulnerability Discovery
- (Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna
- SRPCN: Structure Retrieval based Point Completion Network
- Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
- LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation