Papers
Thu 20 Jan 2022
142 papers
- A Computational Model for Machine ThinkingLLM reasoning → Multimodal reasoning
- Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Safety-Aware Multi-Agent Apprenticeship LearningOffline RL and imitation learning from data → Safe offline RL
- Safe Deep RL in 3D Environments using Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Study of filtered-x logarithmic recursive least p-power algorithm
- Runtime Monitoring and Statistical Approaches for Correlation Analysis of ECG and PPG
- Accelerating Laue Depth Reconstruction Algorithm with CUDA
- Learning Norms via Natural Language Teachings
- Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project
- Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing
- RamanNet: A generalized neural network architecture for Raman Spectrum Analysis
- Lensing Machines: Representing Perspective in Latent Variable Models
- Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
- Physical Activity Recognition by Utilising Smartphone Sensor Signals
- Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
- Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves
- Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling
- DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning
- GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration
- Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
- Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models
- RoboMal: Malware Detection for Robot Network Systems
- Android Malware Detection using Feature Ranking of Permissions
- An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters
- Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
- LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
- Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency
- Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
- Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark
- A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
- Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
- VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python
- DROPO: Sim-to-Real Transfer with Offline Domain Randomization
- Reproducibility in Learning
- A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records
- FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction
- SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
- Scalable Sampling for Nonsymmetric Determinantal Point Processes
- Unicorn: Reasoning about Configurable System Performance through the lens of Causality
- Steerable Pyramid Transform Enables Robust Left Ventricle Quantification
- Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform
- MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition
- Learning Pixel Trajectories with Multiscale Contrastive Random Walks
- Omnivore: A Single Model for Many Visual Modalities
- Revisiting Weakly Supervised Pre-Training of Visual Perception Models
- Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
- Stitch it in Time: GAN-Based Facial Editing of Real Videos
- AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline
- Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
- Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
- Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)
- Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
- Signature Entrenchment and Conceptual Changes in Automated Theory Repair
- Learning with latent group sparsity via heat flow dynamics on networks
- Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs
- Predictive Inference with Weak Supervision
- Adaptive neighborhood Metric learning
- Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization
- Meta Learning for Code Summarization
- Minimax Demographic Group Fairness in Federated Learning
- From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
- Goal-Conditioned Reinforcement Learning: Problems and Solutions
- DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
- Statistical prediction of extreme events from small datasets
- Lead-lag detection and network clustering for multivariate time series with an application to the US equity market
- Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning
- Modeling and hexahedral meshing of cerebral arterial networks from centerlines
- Lifelong Learning Metrics
- NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis
- A Real-Time Rendering Method for Light Field Display
- Cross-Domain Few-Shot Graph Classification
- End-to-end Generative Pretraining for Multimodal Video Captioning
- Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making
- OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges
- Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation
- "Project smells" -- Experiences in Analysing the Software Quality of ML Projects with mllint
- LaMDA: Language Models for Dialog Applications
- Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor Graphs
- Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering
- Long Short-Term Memory Neural Network for Financial Time Series
- Watermarking Pre-trained Encoders in Contrastive Learning
- CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
- A Latent-Variable Model for Intrinsic Probing
- TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
- Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
- Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
- From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
- Cognitive Ledger Project: Towards Building Personal Digital Twins Through Cognitive Blockchain
- HDhuman: High-quality Human Novel-view Rendering from Sparse Views
- WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
- A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
- Physically Embodied Deep Image Optimisation
- SPAMs: Structured Implicit Parametric Models
- DRTCI: Learning Disentangled Representations for Temporal Causal Inference
- Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
- GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
- Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing
- Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training
- Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
- Belief Revision in Sentential Decision Diagrams
All 142
- NNP/MM: Accelerating molecular dynamics simulations with machine learning potentials and molecular mechanic
- Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
- What can we learn from misclassified ImageNet images?
- Before and After: Machine learning for perioperative patient care
- AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
- Why Did You Not Compare With That? Identifying Papers for Use as Baselines
- Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions
- LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
- Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing
- Temporal Sentence Grounding in Videos: A Survey and Future Directions
- Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation
- VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation
- Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
- TerViT: An Efficient Ternary Vision Transformer
- Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation
- GAN-based Matrix Factorization for Recommender Systems
- Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction
- Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey
- Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction
- A Joint Morphological Profiles and Patch Tensor Change Detection for Hyperspectral Imagery
- Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
- HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks
- A Deep Learning Approach To Estimation Using Measurements Received Over a Network
- Transfer Learning for Fault Diagnosis of Transmission Lines
- Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
- PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
- CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning
- Sentiment Analysis: Predicting Yelp Scores
- Statistical Learning for Individualized Asset Allocation
- Self-supervised Video Representation Learning with Cascade Positive Retrieval
- Identifying critical nodes in complex networks by graph representation learning
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
- AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees
- Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities
- EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
- Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning
- Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
- Machine-Learning enabled analysis of ELM filament dynamics in KSTAR
- GASCN: Graph Attention Shape Completion Network
- Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods
- Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision
- Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation