Papers
Fri 29 Jul 2022
130 papers
- Improved Policy Optimization for Online Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Global-Local Self-Distillation for Visual Representation LearningKnowledge distillation → General knowledge distillation methods
- Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment
- Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application
- Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives
- Reconstructing Sparse Multiplex Networks with Application to Covert Networks
- Face-to-Face Contrastive Learning for Social Intelligence Question-Answering
- Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
- Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers
- Robust Trajectory Prediction against Adversarial Attacks
- Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
- Low-complexity Approximate Convolutional Neural Networks
- Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A survey
- Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
- Thutmose Tagger: Single-pass neural model for Inverse Text Normalization
- Topology-Driven Generative Completion of Lacunae in Molecular Data
- UAVM: Towards Unifying Audio and Visual Models
- Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories
- Enhanced gradient-based MCMC in discrete spaces
- MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI
- Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio
- A review of Deep learning Techniques for COVID-19 identification on Chest CT images
- Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks
- Testing Relational Understanding in Text-Guided Image Generation
- GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond
- StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
- PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
- Artifact Identification in X-ray Diffraction Data using Machine Learning Methods
- Recognition of Handwritten Chinese Text by Segmentation: A Segment-annotation-free Approach
- Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
- Encoder-Decoder Architecture for 3D Seismic Inversion
- Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
- Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology
- Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
- Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
- Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
- SimCURL: Simple Contrastive User Representation Learning from Command Sequences
- ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval
- Enhanced Methods for the Weight Constrained Shortest Path Problem
- Graph Neural Networks for Channel Decoding
- End-to-end View Synthesis via NeRF Attention
- Rating the Crisis of Online Public Opinion Using a Multi-Level Index System
- Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer
- Tangential Wasserstein Projections
- Meta Reinforcement Learning with Successor Feature Based Context
- Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards
- Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?
- Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation
- Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
- Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor
- Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
- BiFeat: Supercharge GNN Training via Graph Feature Quantization
- Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
- Forensic License Plate Recognition with Compression-Informed Transformers
- Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks
- AlphaVC: High-Performance and Efficient Learned Video Compression
- Big Data and Analytics Implementation in Tertiary Institutions to Predict Students Performance in Nigeria
- Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel Driving
- High Dynamic Range and Super-Resolution from Raw Image Bursts
- Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
- Matching with AffNet based rectifications
- Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia
- Ensemble forecasts in reproducing kernel Hilbert space family
- SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
- Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
- "Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking
- Content-Aware Differential Privacy with Conditional Invertible Neural Networks
- Post-processing of coronary and myocardial spatial data
- Computational complexity reduction of deep neural networks
- KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach
- WISE: Whitebox Image Stylization by Example-based Learning
- Archaeology of random recursive dags and Cooper-Frieze random networks
- Deep Reinforcement Learning for System-on-Chip: Myths and Realities
- Deep Deformable 3D Caricatures with Learned Shape Control
- Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
- Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum
- Learning Prototype via Placeholder for Zero-shot Recognition
- Image Augmentation for Satellite Images
- Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition
- Prompting for Multi-Modal Tracking
- Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
- Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization
- Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations
- ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation
- Best-of-Both-Worlds Algorithms for Partial Monitoring
- A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
- Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions
- Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
- SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter
- Conditioning Normalizing Flows for Rare Event Sampling
- Leveraging Explanations in Interactive Machine Learning: An Overview
- Curriculum Learning for Data-Efficient Vision-Language Alignment
- Evaluating the Practicality of Learned Image Compression
- Factorizable Joint Shift in Multinomial Classification
- Uncertainty-Driven Action Quality Assessment
- Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
- GPU-accelerated SIFT-aided source identification of stabilized videos
- Language Models Can Teach Themselves to Program Better
- A Transfer Learning-Based Approach to Marine Vessel Re-Identification
All 130
- Class-Difficulty Based Methods for Long-Tailed Visual Recognition
- Reference-Guided Texture and Structure Inference for Image Inpainting
- Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
- SHAP for additively modeled features in a boosted trees model
- StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment
- Adaptive Gradient Methods at the Edge of Stability
- FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
- Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
- Benchmarking Azerbaijani Neural Machine Translation
- Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
- Significant changes in EEG neural oscillations during different phases of three-dimensional multiple object tracking task (3D-MOT) imply different roles for attention and working memory
- GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation
- Towards Domain-agnostic Depth Completion
- Fine-grained Retrieval Prompt Tuning
- Low-Complexity Loeffler DCT Approximations for Image and Video Coding
- RCA: Ride Comfort-Aware Visual Navigation via Self-Supervised Learning
- Neural Density-Distance Fields
- Deep Learning-based Occluded Person Re-identification: A Survey
- PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening
- Dataset and Evaluation algorithm design for GOALS Challenge
- Code Comment Inconsistency Detection with BERT and Longformer
- A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
- Treatment Effect Estimation with Unobserved and Heterogeneous Confounding Variables
- Lower Bounds for Learning Quantum States with Single-Copy Measurements
- Graph-Based Small Bowel Path Tracking with Cylindrical Constraints
- Learning idempotent representation for subspace clustering
- Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval
- 3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
- Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
- Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge