Papers
Sat 13 Feb 2021
64 papers
- PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized SimulatorsOffline RL and imitation learning from data → Offline RL algorithms
- Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related TasksOffline RL and imitation learning from data → Real-world robot offline RL
- Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
- The Wavefunction of Continuous-Time Recurrent Neural Networks
- A Reinforcement learning method for Optical Thin-Film Design
- Synthesizing multi-layer perceptron network with ant lion, biogeography-based dragonfly algorithm evolutionary strategy invasive weed and league champion optimization hybrid algorithms in predicting heating load in residential buildings
- On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning
- Variable importance scores
- PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
- Diffusion Approximations for a Class of Sequential Testing Problems
- ThetA -- fast and robust clustering via a distance parameter
- Interactive Learning from Activity Description
- Mitigating Negative Side Effects via Environment Shaping
- A Statistical Relational Approach to Learning Distance-based GCNs
- Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
- Clustering Interval-Censored Time-Series for Disease Phenotyping
- Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
- On the convergence of group-sparse autoencoders
- On the Last Iterate Convergence of Momentum Methods
- A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures
- The first large scale collection of diverse Hausa language datasets
- Learning in Multi-Stage Decentralized Matching Markets
- How Framelets Enhance Graph Neural Networks
- Learning low-rank latent mesoscale structures in networks
- DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention
- Normalized Convolution Upsampling for Refined Optical Flow Estimation
- Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
- Discrete Cosine Transform in JPEG Compression
- Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
- CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator
- Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
- Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels
- Multi-class Generative Adversarial Nets for Semi-supervised Image Classification
- Goods Transportation Problem Solving via Routing Algorithm
- Rotation-Equivariant Deep Learning for Diffusion MRI
- HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis
- Revisiting Smoothed Online Learning
- Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms
- Hybrid Artificial Intelligence Methods for Predicting Air Demand in Dam Bottom Outlet
- Online Apprenticeship Learning
- Modelling Cooperation in Network Games with Spatio-Temporal Complexity
- Mixed Nash Equilibria in the Adversarial Examples Game
- Segmenting two-dimensional structures with strided tensor networks
- GPSPiChain-Blockchain based Self-Contained Family Security System in Smart Home
- Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
- Saliency-Aware Class-Agnostic Food Image Segmentation
- Learning from Similarity-Confidence Data
- Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
- Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization
- Fast, Accurate Barcode Detection in Ultra High-Resolution Images
- CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation
- Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
- Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection
- Wasserstein Proximal of GANs
- Capturing Label Distribution: A Case Study in NLI
- LTL2Action: Generalizing LTL Instructions for Multi-Task RL
- On Robust Optimal Transport: Computational Complexity and Barycenter Computation
- Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
- Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network
- Distilling Double Descent
- Disease2Vec: Representing Alzheimer's Progression via Disease Embedding Tree
- Collaborative Intelligence: Challenges and Opportunities
- Learning Speech-driven 3D Conversational Gestures from Video
- Domain Adaptation for Time Series Forecasting via Attention Sharing