Papers
Wed 15 May 2024
194 papers
- VisioBlend: Sketch and Stroke-Guided Denoising Diffusion Probabilistic Model for Realistic Image GenerationDiffusion models → Image generation, text-to-image and editing
- IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner MonologuesRetrieval-augmented generation → Conversational and speech RAG
- A Comprehensive Survey of Accelerated Generation Techniques in Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation ModelsLLM safety and security → Prompt injection and agent security
- Spectral Editing of Activations for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World KnowledgeLLM reasoning → Multimodal reasoning
- Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Detecting Continuous Integration Skip : A Reinforcement Learning-based ApproachDeep reinforcement learning methods → RL training of language and agent models
- Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language ModelsWorld models → World models for language agents
- MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal CancerDiffusion models → Medical imaging and segmentation
- Declarative Design of Neural Predicates in Neuro-Symbolic SystemsLLM reasoning → Reasoning benchmarks and evaluation
- M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsMixture-of-experts → Medical and biomedical MoE
- Diffusion-based Contrastive Learning for Sequential RecommendationDiffusion models → Diffusion recommenders
- Prompting-based Synthetic Data Generation for Few-Shot Question AnsweringSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- A Mixture of Experts (MoE) model to improve AI-based computational pathology prediction performance under variable levels of histopathology image blurMixture-of-experts → Medical and biomedical MoE
- Word Alignment as Preference for Machine TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Xmodel-VLM: A Simple Baseline for Multimodal Vision Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DVS-RG: Differential Variable Speed Limits Control using Deep Reinforcement Learning with Graph State RepresentationDeep reinforcement learning methods → RL for autonomous driving and traffic
- Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained OptimizationLLM safety and security → Jailbreaking
- CarDreamer: Open-Source Learning Platform for World Model based Autonomous DrivingWorld models → World models for autonomous driving +1
- Chaos-based reinforcement learning with TD3Deep reinforcement learning methods → RL theory and sample complexity
- RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingDiffusion models → Inverse problems and image restoration
- Naturalistic Music Decoding from EEG Data via Latent Diffusion ModelsDiffusion models → Audio, speech and music
- CTS: A Consistency-Based Medical Image Segmentation ModelDiffusion models → Medical imaging and segmentation
- A safety realignment framework via subspace-oriented model fusion for large language modelsLLM safety and security → Safety alignment, refusal and guardrails
- Combining data from multiple sources for urban travel mode choice modelling
- Trustworthy AI in practice: an analysis of practitioners' needs and challenges
- Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology
- Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline
- Towards Unstructured Unlabeled Optical Mocap: A Video Helps!
- Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review
- f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis
- Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
- An Initial Study of Human-Scale Blockage in sub-THz Radio Propagation with Application to Indoor Passive Localization
- A Survey of Transformer-based Language Models with Focus on Efficiency
- Optimizing Sales Forecasts through Automated Integration of Market Indicators
- Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
- A survey on fairness of large language models in e-commerce: progress, application, and challenge
- Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
- LLMs can learn self-restraint through iterative self-reflection
- Using Combinatorial Optimization to Design a High quality LLM Solution
- Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings
- A Systematic Analysis on the Temporal Generalization of Language Models in Social Media
- Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning
- UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
- Comparative Analysis of Predicting Subsequent Steps in H'enon Map
- SCI 3.0: A Web-based Schema Curation Interface for Graphical Event Representations
- From NeRFs to Gaussian Splats, and Back
- Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences
- STAR: A Benchmark for Situated Reasoning in Real-World Videos
- No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation
- Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
- Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
- Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights
- Modeling User Preferences via Brain-Computer Interfacing
- Generalized Holographic Reduced Representations
- A Theory of Synaptic Neural Balance: From Local to Global Order
- UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
- Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation
- The radius of statistical efficiency
- LoRA Learns Less and Forgets Less
- Learning 3-Manifold Triangulations
- Improving Label Error Detection and Elimination with Uncertainty Quantification
- Fully Automated OCT-based Tissue Screening System
- Aggregate Representation Measure for Predictive Model Reusability
- Properties that allow or prohibit transferability of adversarial attacks among quantized networks
- When AI Eats Itself: On the Caveats of AI Autophagy
- Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
- Simplicity within biological complexity
- Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
- SQL-to-Schema Enhances Schema Linking in Text-to-SQL
- A Survey of Generative Techniques for Spatial-Temporal Data Mining
- A Comprehensive Survey on Data Augmentation
- A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
- Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images
- Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
- An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
- Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System
- AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
- BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
- Classifying geospatial objects from multiview aerial imagery using semantic meshes
- Spectral complexity of deep neural networks
- Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
- Restoring balance: principled under/oversampling of data for optimal classification
- Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB
- Improved classical shadows from local symmetries in the Schur basis
- ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
- Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
- Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
- Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
- QueryNER: Segmentation of E-commerce Queries
- ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidata
- C-Learner: Constrained Learning for Causal Inference
- MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
- Color Space Learning for Cross-Color Person Re-Identification
- DemOpts: Fairness corrections in COVID-19 case prediction models
- Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts
- Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task
- Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment
- Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer
All 194
- Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
- Fourier Boundary Features Network with Wider Catchers for Glass Segmentation
- Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
- Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learning
- Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas
- Facilitating Opinion Diversity through Hybrid NLP Approaches
- A Survey On Text-to-3D Contents Generation In The Wild
- Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images
- On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head
- Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
- Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
- Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
- Identity Overlap Between Face Recognition Train/Test Data: Causing Optimistic Bias in Accuracy Measurement
- O2 is a multiple context-free grammar: an implementation-, formalisation-friendly proof
- Matching domain experts by training from scratch on domain knowledge
- SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
- PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models
- SARATR-X: Toward Building A Foundation Model for SAR Target Recognition
- On the Saturation Effect of Kernel Ridge Regression
- When fairness metrics fail: A utility-based perspective on varepsilon-fairness
- Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction
- Large coordinate kernel attention network for lightweight image super-resolution
- Progressive Depth Decoupling and Modulating for Flexible Depth Completion
- Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
- Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study
- Application of Gated Recurrent Units for CT Trajectory Optimization
- Multi-Source Conformal Inference Under Distribution Shift
- Learning Coarse-Grained Dynamics on Graph
- ReconBoost: Boosting Can Achieve Modality Reconcilement
- Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
- Agnostic Active Learning of Single Index Models with Linear Sample Complexity
- TimeX++: Learning Time-Series Explanations with Information Bottleneck
- Gradient Boosted Filters For Signal Processing
- Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of Large Language Models for Psychological Support
- Tight Bounds for Online Convex Optimization with Adversarial Constraints
- Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology
- Attribute reduction algorithm of rough sets based on spatial optimization
- Sensitivity Decouple Learning for Image Compression Artifacts Reduction
- DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
- MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Binding
- Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
- Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection
- Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments
- Dynamic Activation Pitfalls in LLaMA Models: An Empirical Study
- Fair Generalized Linear Mixed Models
- Dance Any Beat: Blending Beats with Visuals in Dance Video Generation
- Measuring Model-Induced Discrimination via Efficient Fairness Approximation
- New Textual Corpora for Serbian Language Modeling
- Graph Neural Network based Handwritten Trajectories Recognition
- NeuralCMS: A deep learning approach to study Jupiter's interior
- Perception-Inspired Graph Convolution for Music Understanding Tasks
- Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
- SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics
- Lens functions for exploring UMAP Projections with Domain Knowledge
- Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what
- Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
- HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
- Cross-Input Certified Training for Universal Perturbations
- Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
- Scalable Image Coding for Humans and Machines Using Feature Fusion Network
- Curriculum Dataset Distillation
- A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
- OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
- Overcoming Domain Drift in Online Continual Learning
- RobustMVS: Single Domain Generalized Deep Multi-view Stereo
- HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition
- BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform
- SOEDiff: Efficient Distillation for Small Object Editing
- Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
- Minimisation of Polyak-Lojasewicz Functions Using Random Zeroth-Order Oracles
- Optimizing Sensor Network Design for Multiple Coverage
- Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
- Compressive Feature Selection for Remote Visual Multi-Task Inference
- Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approach
- Improving Transformers using Faithful Positional Encoding
- Task-adaptive Q-Face
- Response Matching for generating materials and molecules
- Dim Small Target Detection and Tracking: A Novel Method Based on Temporal Energy Selective Scaling and Trajectory Association
- Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential
- 3D Shape Augmentation with Content-Aware Shape Resizing
- Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving
- AMSNet: Netlist Dataset for AMS Circuits
- Learning from Partial Label Proportions for Whole Slide Image Segmentation
- SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
- SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
- ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition
- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
- Deep Learning in Earthquake Engineering: A Comprehensive Review
- A Japanese-Chinese Parallel Corpus Using Crowdsourcing for Web Mining
- Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
- Spatial Semantic Recurrent Mining for Referring Image Segmentation
- Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints
- Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting