Papers
Wed 25 Jan 2023
124 papers
- On the Mathematics of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source SeparationDiffusion models → Audio, speech and music
- Imitating Human Behaviour with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Comfort-oriented driving: performance comparison between human drivers and motion plannersEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your computeRetrieval-augmented generation → Generation and context integration
- BDMMT: Backdoor Sample Detection for Language Models through Model Mutation TestingLLM safety and security → Backdoor and data poisoning attacks
- Explainable AI does not provide the explanations end-users are asking for
- Deep Generative Neural Embeddings for High Dimensional Data Visualization
- Deep Convolutional Framelet Denoising for Panoramic by Mixed Wavelet Integration
- STERLING: Synergistic Representation Learning on Bipartite Graphs
- Motion ID: Human Authentication Approach
- BRAIN L: A book recommender system
- Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
- Improving the Inference of Topic Models via Infinite Latent State Replications
- Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey
- Accelerating Domain-aware Deep Learning Models with Distributed Training
- Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
- Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
- Recursive deep learning framework for forecasting the decadal world economic outlook
- Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content
- Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning
- Learning Gradients of Convex Functions with Monotone Gradient Networks
- Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
- Improving Graph Generation by Restricting Graph Bandwidth
- Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram
- Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
- Optimal decision making in robotic assembly and other trial-and-error tasks
- Improved Bitcoin Price Prediction based on COVID-19 data
- When Layers Play the Lottery, all Tickets Win at Initialization
- TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
- Reflective Artificial Intelligence
- RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
- Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
- Improving Fairness with Ensemble Combination: Margin-Dependent Bounds
- On the inconsistency of separable losses for structured prediction
- Graph Neural Tangent Kernel: Convergence on Large Graphs
- Evaluating Probabilistic Classifiers: The Triptych
- Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering
- Unravelling physics beyond the standard model with classical and quantum anomaly detection
- Quantum anomaly detection in the latent space of proton collision events at the LHC
- RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
- Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
- On the Adversarial Robustness of Camera-based 3D Object Detection
- Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives
- Efficient Flow-Guided Multi-frame De-fencing
- Out of Distribution Performance of State of Art Vision Model
- Tighter Bounds on the Expressivity of Transformer Encoders
- Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
- An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation
- A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems
- Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
- Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
- PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
- Towards Arbitrary Text-driven Image Manipulation via Space Alignment
- Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
- Probing Taxonomic and Thematic Embeddings for Taxonomic Information
- Overcoming Prior Misspecification in Online Learning to Rank
- MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)
- Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
- Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models
- Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
- Connecting metrics for shape-texture knowledge in computer vision
- A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation
- Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts
- Distilling Text into Circuits
- Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition
- On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems
- Evaluation of the syllables pronunciation quality in speech rehabilitation through the solution of the classification problem
- A Method For Eliminating Contour Errors In Self-Encoder Reconstructed Images
- An Efficient Approximate Method for Online Convolutional Dictionary Learning
- ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
- A Study on FGSM Adversarial Training for Neural Retrieval
- Trainable Loss Weights in Super-Resolution
- Leveraging Planning Landmarks for Hybrid Online Goal Recognition
- Spatio-Temporal Graph Neural Networks: A Survey
- Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking
- Synthesis with Explicit Dependencies
- Variation-Aware Semantic Image Synthesis
- Backward Compatibility During Data Updates by Weight Interpolation
- Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN
- Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
- 3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation
- Cross-lingual Argument Mining in the Medical Domain
- ExaRanker: Explanation-Augmented Neural Ranker
- Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
- Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval
- What are the Machine Learning best practices reported by practitioners on Stack Exchange?
- Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
- A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
- E(n)-equivariant Graph Neural Cellular Automata
- Flow-guided Semi-supervised Video Object Segmentation
- SWING: Balancing Coverage and Faithfulness for Dialogue Summarization
- FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs
- Aircraft Skin Inspections: Towards a New Model for Dent Evaluation
- XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
- HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling
- Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing
- Rate-Perception Optimized Preprocessing for Video Coding
- A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
- Predicting mental health using social media: A roadmap for future development
All 124
- Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection
- HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System
- An Experimental Study on Pretraining Transformers from Scratch for IR
- Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
- Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection
- ViDeBERTa: A powerful pre-trained language model for Vietnamese
- Bias-Compensated Integral Regression for Human Pose Estimation
- DEJA VU: Continual Model Generalization For Unseen Domains
- Local Feature Extraction from Salient Regions by Feature Map Transformation
- One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
- Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
- Editing Language Model-based Knowledge Graph Embeddings
- Exact and rapid linear clustering of networks with dynamic programming
- When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
- Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
- Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
- SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
- XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
- Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles
- Weakly Supervised Headline Dependency Parsing
- Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
- Language Model Detoxification in Dialogue with Contextualized Stance Control
- Towards Robust Metrics for Concept Representation Evaluation
- Data Consistent Deep Rigid MRI Motion Correction