Papers
Thu 27 Jan 2022
140 papers
- The Challenges of Exploration for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Denoising Diffusion Restoration ModelsDiffusion models → Inverse problems and image restoration
- Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
- Reasoning Like Program ExecutorsLLM reasoning → Reasoning for agents, planning and code
- Dynamic Rectification Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements
- TableQuery: Querying tabular data with natural language
- Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items
- On scale-invariant properties in natural images and their simulations
- Micro-level Reserving for General Insurance Claims using a Long Short-Term Memory Network
- SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation
- Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
- Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach
- DiriNet: A network to estimate the spatial and spectral degradation functions
- Using Shape Metrics to Describe 2D Data Points
- Prediction of GPU Failures Under Deep Learning Workloads
- Towards an Automatic Diagnosis of Peripheral and Central Palsy Using Machine Learning on Facial Features
- Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
- Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imaging
- Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition
- Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities
- Modeling Human Exploration Through Resource-Rational Reinforcement Learning
- Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV
- Eigenvalues of Autoencoders in Training and at Initialization
- A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
- LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks
- On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
- A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment
- Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks
- Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
- A Survey on Visual Transfer Learning using Knowledge Graphs
- Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks
- An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
- The Effect of Diversity in Meta-Learning
- Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab
- Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding
- Exploring Graph Representation of Chorales
- Robust Augmentation for Multivariate Time Series Classification
- PRNU Based Source Camera Identification for Webcam and Smartphone Videos
- Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
- IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
- Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
- Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center
- Search Trajectories Networks of Multiobjective Evolutionary Algorithms
- Change Detection of Markov Kernels with Unknown Pre and Post Change Kernel
- Simplicial Convolutional Filters
- A Systematic Study of Bias Amplification
- Model Agnostic Interpretability for Multiple Instance Learning
- Matched Illumination
- Constrained Structure Learning for Scene Graph Generation
- SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
- Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences
- Generative Adversarial Exploration for Reinforcement Learning
- DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
- Unsupervised Change Detection using DRE-CUSUM
- Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
- Learning Stance Embeddings from Signed Social Graphs
- Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
- Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
- Towards Data-driven LQR with Koopmanizing Flows
- Deep Video Prior for Video Consistency and Propagation
- Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging
- Early Detection of Network Attacks Using Deep Learning
- LiteLSTM Architecture for Deep Recurrent Neural Networks
- Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
- On the Role of Multi-Objective Optimization to the Transit Network Design Problem
- Domain-Invariant Representation Learning from EEG with Private Encoders
- A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method
- FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
- DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
- Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
- Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition
- Human Interpretation of Saliency-based Explanation Over Text
- ASOC: Adaptive Self-aware Object Co-localization
- Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels
- Transfer Portal: Accurately Forecasting the Impact of a Player Transfer in Soccer
- Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
- ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation
- Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification
- Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
- From Motion to Muscle
- Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras
- GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features
- The Implicit Bias of Benign Overfitting
- FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance
- Eye-focused Detection of Bell's Palsy in Videos
- Quantile-Based Policy Optimization for Reinforcement Learning
- RelTR: Relation Transformer for Scene Graph Generation
- Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Kepler's false positive
- Setting AI in context: A case study on defining the context and operational design domain for automated driving
- In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos
- Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
- Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond
- Human-centered mechanism design with Democratic AI
- An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
- DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer
- Fast Moving Natural Evolution Strategy for High-Dimensional Problems
- Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε-7/4) Complexity
- Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
- Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions
All 140
- Online Planning in POMDPs with Self-Improving Simulators
- Generalised Image Outpainting with U-Transformer
- The MSXF TTS System for ICASSP 2022 ADD Challenge
- Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages
- Multi-Frame Quality Enhancement On Compressed Video Using Quantised Data of Deep Belief Networks
- Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
- Achieving Personalized Federated Learning with Sparse Local Models
- Deep Confidence Guided Distance for 3D Partial Shape Registration
- Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing
- Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation
- HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array
- Fairness Implications of Encoding Protected Categorical Attributes
- Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks
- Effective Shortcut Technique for GAN
- Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
- Exploring Global Diversity and Local Context for Video Summarization
- Distributed gradient-based optimization in the presence of dependent aperiodic communication
- Smart City Defense Game: Strategic Resource Management during Socio-Cyber-Physical Attacks
- Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
- Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network
- Ontology-enhanced Prompt-tuning for Few-shot Learning
- Epistemic AI platform accelerates innovation by connecting biomedical knowledge
- Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features
- Transformer Module Networks for Systematic Generalization in Visual Question Answering
- Learning Deep Semantic Model for Code Search using CodeSearchNet Corpus
- A Higher-Order Semantic Dependency Parser
- Towards a Secure and Reliable Federated Learning using Blockchain
- Dissecting the impact of different loss functions with gradient surgery
- Multi-view learning with privileged weighted twin support vector machine
- Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context
- Highly Generalizable Models for Multilingual Hate Speech Detection
- Stock2Vec: An Embedding to Improve Predictive Models for Companies
- Interactive 3D Character Modeling from 2D Orthogonal Drawings with Annotations
- Revisiting RCAN: Improved Training for Image Super-Resolution
- To what extent should we trust AI models when they extrapolate?
- Controlling Directions Orthogonal to a Classifier
- Learning How to Translate North Korean through South Korean
- HistoKT: Cross Knowledge Transfer in Computational Pathology
- Heterogeneous Peer Effects in the Linear Threshold Model
- Diagnosing AI Explanation Methods with Folk Concepts of Behavior