Papers
Fri 5 May 2023
195 papers
- Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3DDiffusion models → Flow matching, time series and science
- Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity RecognitionKnowledge distillation → Distillation for medical imaging
- Evading Watermark based Detection of AI-Generated ContentLLM safety and security → Watermarking generated content and models
- Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- Improved Logical Reasoning of Language Models via Differentiable Symbolic ProgrammingLLM reasoning → Reasoning benchmarks and evaluation
- Otter: A Multi-Modal Model with In-Context Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LMEye: An Interactive Perception Network for Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- COLA: A Benchmark for Compositional Text-to-image RetrievalMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity RecognitionRetrieval-augmented generation → Generation and context integration
- Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT modelsRetrieval-augmented generation → Medical and biomedical RAG
- Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic ApproachEnd-to-end autonomous driving → Cooperative and V2X driving
- Iterative α-(de)Blending: a Minimalist Deterministic Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and DenoisingMixture-of-experts → Vision mixture-of-experts
- Generative Steganography DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question AnsweringLLM reasoning → Multimodal reasoning
- Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and ProspectsKnowledge distillation → Knowledge distillation for LLMs
- Guided Image Synthesis via Initial Image Editing in Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- A Survey on Offline Model-Based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge BaseLLM reasoning → Knowledge- and tool-augmented reasoning
- Occupancy Prediction-Guided Neural Planner for Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- Demystifying Softmax Gating Function in Gaussian Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
- Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkLLM reasoning → Prompting and chain-of-thought reasoning
- A Comparative Analysis of Techniques and Algorithms for Recognising Sign Language
- Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree
- A Review of Benchmarks for Visual Defect Detection in the Manufacturing Industry
- Challenges and Trends in User Trust Discourse in AI
- Deep Learning for Solving and Estimating Dynamic Macro-Finance Models
- A Model for Translation of Text from Indian Languages to Bharti Braille Characters
- Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation
- Deep Learning-based Estimation for Multitarget Radar Detection
- Walk4Me: Telehealth Community Mobility Assessment, An Automated System for Early Diagnosis and Disease Progression
- An ensemble of convolution-based methods for fault detection using vibration signals
- From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
- Detecting and Reasoning of Deleted Tweets before they are Posted
- Improving Real-Time Bidding in Online Advertising Using Markov Decision Processes and Machine Learning Techniques
- NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking
- Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM
- U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
- Learning Stochastic Dynamical System via Flow Map Operator
- Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
- Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
- Spiking neural networks with Hebbian plasticity for unsupervised representation learning
- Software-based Automatic Differentiation is Flawed
- Open problems in causal structure learning: A case study of COVID-19 in the UK
- Robust A-Optimal Experimental Design for Bayesian Inverse Problems
- CHAI-DT: A Framework for Prompting Conversational Generative AI Agents to Actively Participate in Co-Creation
- Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations
- Data-Free Learning of Reduced-Order Kinematics
- CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NER
- High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase
- REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
- Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation
- Spatiotemporal Transformer for Stock Movement Prediction
- Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
- Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
- No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations
- Adapting Transformer Language Models for Predictive Typing in Brain-Computer Interfaces
- Persistent Homology Meets Object Unity: Object Recognition in Clutter
- Deep Labeling of fMRI Brain Networks
- Equivariant Neural Networks for Spin Dynamics Simulations of Itinerant Magnets
- Materials Informatics: An Algorithmic Design Rule
- Transformer Working Memory Enables Regular Language Reasoning and Natural Language Length Extrapolation
- Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
- Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios
- Neural Exploitation and Exploration of Contextual Bandits
- Boldness-Recalibration for Binary Event Predictions
- Physics-Informed Localized Learning for Advection-Diffusion-Reaction Systems
- Weakly-Supervised Anomaly Detection in the Milky Way
- Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting
- AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
- Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
- Neural Architecture Search for Intel Movidius VPU
- DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception
- 3D Small Object Detection with Dynamic Spatial Pruning
- Large Language Models in Ambulatory Devices for Home Health Diagnostics: A case study of Sickle Cell Anemia Management
- Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
- Statistical Inference for Fairness Auditing
- Medical records condensation: a roadmap towards healthcare data democratisation
- Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention
- Fine-Grained Product Classification on Leaflet Advertisements
- Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements
- Mining bias-target Alignment from Voronoi Cells
- Provable Preimage Under-Approximation for Neural Networks (Full Version)
- Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey
- A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding
- Causal Discovery with Stage Variables for Health Time Series
- Predicting COVID-19 and pneumonia complications from admission texts
- White-Box Multi-Objective Adversarial Attack on Dialogue Generation
- On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
- Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
- Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
- Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding
- Verifiable Learning for Robust Tree Ensembles
- Optimizing Hyperparameters with Conformal Quantile Regression
- MAF-Net: Multiple attention-guided fusion network for fundus vascular image segmentation
- Denoising-Contrastive Alignment for Continuous Sign Language Recognition
- The Role of Data Curation in Image Captioning
- Differentially Private Topological Data Analysis
- On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
- A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation
All 195
- Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models
- NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
- HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
- Now It Sounds Like You: Learning Personalized Vocabulary On Device
- A multimodal dynamical variational autoencoder for audiovisual speech representation learning
- Scope Restriction for Scalable Real-Time Railway Rescheduling: An Exploratory Study
- In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
- Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis
- Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
- A vector quantized masked autoencoder for audiovisual speech emotion recognition
- The geometry of financial institutions -- Wasserstein clustering of financial data
- Contrastive Graph Clustering in Curvature Spaces
- Over-the-Air Federated Averaging with Limited Power and Privacy Budgets
- Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review
- Next-generation Surgical Navigation: Marker-less Multi-view 6DoF Pose Estimation of Surgical Instruments
- Random Smoothing Regularization in Kernel Gradient Descent Learning
- Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation
- Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
- GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
- High-Level Context Representation for Emotion Recognition in Images
- HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration
- Zoo Guide to Network Embedding
- General Neural Gauge Fields
- Interactive Acquisition of Fine-grained Visual Concepts by Exploiting Semantics of Generic Characterizations in Discourse
- Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question
- A technical note on bilinear layers for interpretability
- LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models
- Advances on the classification of radio image cubes
- Simulating H.P. Lovecraft horror literature with the ChatGPT large language model
- GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
- Using ChatGPT for Entity Matching
- Evolution under Length Constraints for CNN Architecture design
- Adaptive Graph Convolutional Subspace Clustering
- Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
- Assessing Trustworthiness of Autonomous Systems
- Online Gesture Recognition using Transformer and Natural Language Processing
- Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
- Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
- Optimized Table Tokenization for Table Structure Recognition
- Compressing audio CNNs with graph centrality based filter pruning
- AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions
- WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
- Towards Effective Collaborative Learning in Long-Tailed Recognition
- Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour
- Towards Feminist Intersectional XAI: From Explainability to Response-Ability
- DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
- The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation
- Repairing Deep Neural Networks Based on Behavior Imitation
- A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
- MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
- Contrastive Learning for Low-light Raw Denoising
- Leaf Cultivar Identification via Prototype-enhanced Learning
- Reconstructing Training Data from Multiclass Neural Networks
- A Large Cross-Modal Video Retrieval Dataset with Reading Comprehension
- LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition
- Reinforcement Learning for Control of Evolutionary and Ecological Processes
- QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models
- Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
- Solution existence, uniqueness, and stability of discrete basis sinograms in multispectral CT
- FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation
- HiPool: Modeling Long Documents Using Graph Neural Networks
- Block the Label and Noise: An N-Gram Masked Speller for Chinese Spell Checking
- Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
- Human-centered trust framework: An HCI perspective
- High-Fidelity 3D Face Generation from Natural Language Descriptions
- LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa
- Open Information Extraction via Chunks
- TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition
- Decentralized diffusion-based learning under non-parametric limited prior knowledge
- FedNC: A Secure and Efficient Federated Learning Method with Network Coding
- BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks
- Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
- Composite Motion Learning with Task Control
- FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
- Expository Text Generation: Imitate, Retrieve, Paraphrase
- Semantic Segmentation using Vision Transformers: A survey
- Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
- Bayesian Reinforcement Learning with Limited Cognitive Load
- Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization
- Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
- Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors
- Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain
- VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna
- HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems
- PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors
- Reduction of Class Activation Uncertainty with Background Information
- Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
- A Survey on Out-of-Distribution Detection in NLP
- Neuromodulation Gated Transformer
- Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging
- Carbon Price Forecasting with Quantile Regression and Feature Selection
- Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance
- All models are local: time to replace external validation with recurrent local validation
- Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
- Contrastive Learning for Sleep Staging based on Inter Subject Correlation