Papers
Tue 27 Dec 2022
88 papers
- EuclidNet: Deep Visual Reasoning for Constructible Problems in GeometryLLM reasoning → Spatial and embodied reasoning
- Exploring Transformer Backbones for Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Measuring an artificial intelligence agent's trust in humans using machine incentivesLLM agents and tool use → Social simulation and multi-agent debate
- DiffFace: Diffusion-based Face Swapping with Facial GuidanceDiffusion models → Image generation, text-to-image and editing
- Behavioral Cloning via Search in Video PreTraining Latent SpaceOffline RL and imitation learning from data → Imitation learning methods
- Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs
- Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval
- A Survey on Federated Recommendation Systems
- Robust Consensus Clustering and its Applications for Advertising Forecasting
- MindBigData 2022 A Large Dataset of Brain Signals
- Semantic optical fiber communication system
- Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
- Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage
- Langevin algorithms for very deep Neural Networks with application to image classification
- Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction
- 1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
- Personality Detection of Applicants And Employees Using K-mode Algorithm And Ocean Model
- A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition
- Using Large Language Models to Generate Engaging Captions for Data Visualizations
- Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution
- On the Equivalence of the Weighted Tsetlin Machine and the Perceptron
- Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
- Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
- LOSDD: Leave-Out Support Vector Data Description for Outlier Detection
- Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
- Deep Learning Models for River Classification at Sub-Meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery
- EDoG: Adversarial Edge Detection For Graph Neural Networks
- Brain Cancer Segmentation Using YOLOv5 Deep Neural Network
- Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing
- Optimal Regularization for a Data Source
- Semi-supervised multiscale dual-encoding method for faulty traffic data detection
- Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions
- Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification
- Variance Reduction for Score Functions Using Optimal Baselines
- Online Learning for Adaptive Probing and Scheduling in Dense WLANs
- A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems
- Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning
- Data-driven control of COVID-19 in buildings: a reinforcement-learning approach
- AER: Auto-Encoder with Regression for Time Series Anomaly Detection
- Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
- NeRN -- Learning Neural Representations for Neural Networks
- Interactive Segmentation of Radiance Fields
- Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
- Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering
- From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis
- Cross-Resolution Flow Propagation for Foveated Video Super-Resolution
- Fast and fully-automated histograms for large-scale data sets
- S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning
- Challenges in anomaly and change point detection
- Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
- Anomaly detection in laser-guided vehicles' batteries: a case study
- DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
- Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
- MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
- Flattening Surface Based On Using Contour Estimating Subdivision Surface
- Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment
- Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
- Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
- General GAN-generated image detection by data augmentation in fingerprint domain
- A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions
- MVTN: Learning Multi-View Transformations for 3D Understanding
- Scaling Painting Style Transfer
- TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
- Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
- The most general manner to injectively align true and predicted segments
- Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk
- A Survey on Knowledge-Enhanced Pre-trained Language Models
- GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
- Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
- Position-Aware Contrastive Alignment for Referring Image Segmentation
- Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination
- NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis
- Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
- A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
- DeepCuts: Single-Shot Interpretability based Pruning for BERT
- MixupE: Understanding and Improving Mixup from Directional Derivative Perspective
- Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
- Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation
- Power Quality Event Recognition and Classification Using an Online Sequential Extreme Learning Machine Network based on Wavelets
- Feature Selection Approaches for Optimising Music Emotion Recognition Methods
- Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets
- Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks
- A Generalization of ViT/MLP-Mixer to Graphs
- The Forward-Forward Algorithm: Some Preliminary Investigations
- Recovering Surveillance Video Using RF Cues
- Teamwork under extreme uncertainty: AI for Pokemon ranks 33rd in the world
- Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering
- Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory