Papers
Mon 23 Jan 2023
130 papers
- Mathematics, word problems, common sense, and artificial intelligenceLLM reasoning → Mathematical reasoning
- Learning to View: Decision Transformers for Active Object DetectionOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- A Simple Recipe for Competitive Low-compute Self supervised Vision ModelsKnowledge distillation → General knowledge distillation methods
- Rethinking Real-world Image Deraining via An Unpaired Degradation-Conditioned Diffusion ModelDiffusion models → Inverse problems and image restoration
- Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets
- ViGU: Vision GNN U-Net for Fast MRI
- Is Autoencoder Truly Applicable for 3D CT Super-Resolution?
- A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation
- AI model GPT-3 (dis)informs us better than humans
- Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
- Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review
- Lexi: Self-Supervised Learning of the UI Language
- GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning
- Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics
- Topic Ontologies for Arguments
- A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility
- The Packing Chromatic Number of the Infinite Square Grid is 15
- Earthquake Magnitude and b value prediction model using Extreme Learning Machine
- Towards Modular Machine Learning Solution Development: Benefits and Trade-offs
- Topological Understanding of Neural Networks, a survey
- DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics
- Topological Learning in Multi-Class Data Sets
- Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography
- Backdoor Attacks in Peer-to-Peer Federated Learning
- Long-term stable Electromyography classification using Canonical Correlation Analysis
- Long-tail Detection with Effective Class-Margins
- PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
- On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
- Two-Stage Learning For the Flexible Job Shop Scheduling Problem
- Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification
- Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation
- Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense
- Noisy Parallel Data Alignment
- Quantum Heavy-tailed Bandits
- Improved Rate of First Order Algorithms for Entropic Optimal Transport
- Flexible conditional density estimation for time series
- Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans
- Selective Explanations: Leveraging Human Input to Align Explainable AI
- InfiniCity: Infinite-Scale City Synthesis
- Prediction-Powered Inference
- HexPlane: A Fast Representation for Dynamic Scenes
- Feature construction using explanations of individual predictions
- LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
- The Impossibility of Parallelizing Boosting
- Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
- Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images
- Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach
- Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics
- Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
- Explaining Deep Learning Hidden Neuron Activations using Concept Induction
- FedExP: Speeding Up Federated Averaging via Extrapolation
- Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
- Zorro: the masked multimodal transformer
- Huber-Robust Confidence Sequences
- SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]
- Deep Learning Meets Sparse Regularization: A Signal Processing Perspective
- The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
- Improving Presentation Attack Detection for ID Cards on Remote Verification Systems
- Solving the HP model with Nested Monte Carlo Search
- DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis
- RF+clust for Leave-One-Problem-Out Performance Prediction
- Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
- WDC Products: A Multi-Dimensional Entity Matching Benchmark
- A New Approach to Learning Linear Dynamical Systems
- Sampling-based Nystr"om Approximation and Kernel Quadrature
- Online Kernel Sliced Inverse Regression
- StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
- On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality
- BayBFed: Bayesian Backdoor Defense for Federated Learning
- Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
- OvarNet: Towards Open-vocabulary Object Attribute Recognition
- Rethinking the Expressive Power of GNNs via Graph Biconnectivity
- Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression
- Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
- ECGAN: Self-supervised generative adversarial network for electrocardiography
- Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
- Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
- Ordinal Regression for Difficulty Estimation of StepMania Levels
- An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems
- Modality-Agnostic Variational Compression of Implicit Neural Representations
- DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
- Study on the identification limits of craniofacial superimposition
- HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images
- Modeling Non-deterministic Human Behaviors in Discrete Food Choices
- Fast and robust single particle reconstruction in 3D fluorescence microscopy
- The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing
- Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images
- Explaining the effects of non-convergent sampling in the training of Energy-Based Models
- Deep Learning Mental Health Dialogue System
- ddml: Double/debiased machine learning in Stata
- LSTM and CNN application for core-collapse supernova search in gravitational wave real data
- A Structural Approach to the Design of Domain Specific Neural Network Architectures
- Crowd3D: Towards Hundreds of People Reconstruction from a Single Image
- A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
- SMDDH: Singleton Mention detection using Deep Learning in Hindi Text
- Accelerating Fair Federated Learning: Adaptive Federated Adam
- Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
- Computer Vision for a Camel-Vehicle Collision Mitigation System
- Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods
- Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
All 130
- A Framework for Evaluating the Impact of Food Security Scenarios
- Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation
- A Survey on Actionable Knowledge
- AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment
- Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
- On the Expressive Power of Geometric Graph Neural Networks
- Chore Cutting: Envy and Truth
- Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network
- A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference
- Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay
- Sensemaking About Contraceptive Methods Across Online Platforms
- Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning
- StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series
- M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
- PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge
- FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flows
- Efficient Training Under Limited Resources
- AttMEMO : Accelerating Transformers with Memoization on Big Memory Systems
- Real-Time Simultaneous Localization and Mapping with LiDAR intensity
- Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer
- Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
- CircNet: Meshing 3D Point Clouds with Circumcenter Detection
- Congested Bandits: Optimal Routing via Short-term Resets
- Exploring Active 3D Object Detection from a Generalization Perspective
- Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
- Efficient Encoders for Streaming Sequence Tagging
- Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning
- Learning Reservoir Dynamics with Temporal Self-Modulation
- Optimising complexity of CNN models for resource constrained devices: QRS detection case study
- GP-NAS-ensemble: a model for NAS Performance Prediction