Papers
Mon 24 Jan 2022
138 papers
- RePaint: Inpainting using Denoising Diffusion Probabilistic ModelsDiffusion models → 3D, point cloud and scene generation
- Constrained Policy Optimization via Bayesian World ModelsWorld models → Latent dynamics models and model-based RL
- Hiding Behind Backdoors: Self-Obfuscation Against Generative ModelsLLM safety and security → Backdoor and data poisoning attacks
- Federated Unlearning with Knowledge DistillationLLM safety and security → Federated unlearning and poisoning +1
- Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm
- Theoretical Exploration of Solutions of Feedforward ReLU Networks
- Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
- A hybrid deep learning approach for purchasing strategy of carbon emission rights -- Based on Shanghai pilot market
- Online Assessment Misconduct Detection using Internet Protocol and Behavioural Classification
- Evaluating a Methodology for Increasing AI Transparency: A Case Study
- MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes
- Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
- A Method to Predict Semantic Relations on Artificial Intelligence Papers
- On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
- COVID-19 forecasting using new viral variants and vaccination effectiveness models
- Text and Code Embeddings by Contrastive Pre-Training
- E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing
- Neural Manifold Clustering and Embedding
- Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"
- HC4: A New Suite of Test Collections for Ad Hoc CLIR
- Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks
- Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks
- The Vehicle Trajectory Prediction Based on ResNet and EfficientNet Model
- COVID-19 Detection Using CT Image Based On YOLOv5 Network
- ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields
- Attacks and Defenses for Free-Riders in Multi-Discriminator GAN
- Classification Of Fake News Headline Based On Neural Networks
- Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features
- Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
- A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks
- ReLSO: A Transformer-based Model for Latent Space Optimization and Generation of Proteins
- Community-based anomaly detection using spectral graph filtering
- What is the cost of adding a constraint in linear least squares?
- Low Complexity Channel estimation with Neural Network Solutions
- Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices
- Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy
- Euclidean and Affine Curve Reconstruction
- Learning Model Checking and the Kernel Trick for Signal Temporal Logic on Stochastic Processes
- Faithiful Embeddings for EL++ Knowledge Bases
- Towards Multi-Objective Statistically Fair Federated Learning
- Input correlations impede suppression of chaos and learning in balanced rate networks
- Learning Neural Contextual Bandits Through Perturbed Rewards
- Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
- AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
- CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving
- Transformers in Medical Imaging: A Survey
- On Evaluation Metrics for Graph Generative Models
- Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network
- Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
- Learning to Act with Affordance-Aware Multimodal Neural SLAM
- STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence
- Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
- A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification
- Learning Graph Augmentations to Learn Graph Representations
- MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis
- Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4:4:4 Video Data
- Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise
- Analytic Mutual Information in Bayesian Neural Networks
- Neural Architecture Searching for Facial Attributes-based Depression Recognition
- IMO3: Interactive Multi-Objective Off-Policy Optimization
- Patches Are All You Need?
- Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Prices
- Using Computational Grounded Theory to Understand Tutors' Experiences in the Gig Economy
- Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
- Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
- Multi-Graph Fusion Networks for Urban Region Embedding
- Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
- Online AutoML: An adaptive AutoML framework for online learning
- Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
- Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
- Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning
- Optimizing Tandem Speaker Verification and Anti-Spoofing Systems
- Towards Collaborative Question Answering: A Preliminary Study
- Learning Semantics for Visual Place Recognition through Multi-Scale Attention
- Feature transforms for image data augmentation
- EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
- Graph Neural Diffusion Networks for Semi-supervised Learning
- Unified Question Generation with Continual Lifelong Learning
- Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources
- Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps
- Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN
- Balanced Graph Structure Learning for Multivariate Time Series Forecasting
- Relational Memory Augmented Language Models
- The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
- Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
- What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
- Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
- Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding
- DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
- Neural Implicit Surface Evolution
- State-Conditioned Adversarial Subgoal Generation
- Paired Image to Image Translation for Strikethrough Removal From Handwritten Words
- Reasoning about Human-Friendly Strategies in Repeated Keyword Auctions
- SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
- End-to-end Person Search Sequentially Trained on Aggregated Dataset
- Performance Analysis of Electrical Machines Using a Hybrid Data- and Physics-Driven Model
- Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction
- Describe me if you can! Characterized Instance-level Human Parsing
- Unsupervised Music Source Separation Using Differentiable Parametric Source Models
- PickNet: Real-Time Channel Selection for Ad Hoc Microphone Arrays
All 138
- AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation
- Importance of Textlines in Historical Document Classification
- Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
- Pearl: Parallel Evolutionary and Reinforcement Learning Library
- Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
- GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
- A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals
- Consistent 3D Hand Reconstruction in Video via self-supervised Learning
- Image features of a splashing drop on a solid surface extracted using a feedforward neural network
- Backdoor Defense with Machine Unlearning
- PaRT: Parallel Learning Towards Robust and Transparent AI
- Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
- BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic
- Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
- Problife: a Probabilistic Game of Life
- Synthetic Books
- DDoSDet: An approach to Detect DDoS attacks using Neural Networks
- Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
- Data and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages
- Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information
- Bias in Automated Speaker Recognition
- Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport
- A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT
- CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
- Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform
- Probability Distribution on Rooted Trees
- Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity
- Emotion-based Modeling of Mental Disorders on Social Media
- UniFormer: Unifying Convolution and Self-attention for Visual Recognition
- Active Learning Polynomial Threshold Functions
- End-to-End Neural Speech Coding for Real-Time Communications
- Post-processing of Differentially Private Data: A Fairness Perspective
- An Effective Iterated Two-stage Heuristic Algorithm for the Multiple Traveling Salesmen Problem
- Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis
- Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution
- Approximation bounds for norm constrained neural networks with applications to regression and GANs
- Cross-Domain Document Layout Analysis Using Document Style Guide
- Improving Chest X-Ray Report Generation by Leveraging Warm Starting