Papers
Tue 21 May 2024
268 papers
- Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion ModelDiffusion models → Medical imaging and segmentation
- Efficient Imitation Learning with Conservative World ModelsWorld models → Embodied and robot world models +1
- RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsRetrieval-augmented generation → Medical and biomedical RAG
- One-Shot Imitation Learning with Invariance Matching for Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical LanguagesLLM reasoning → Mathematical reasoning
- Atomic Self-Consistency for Better Long Form GenerationsLLM reasoning → Test-time compute and efficient thinking
- Towards Retrieval-Augmented Architectures for Image CaptioningRetrieval-augmented generation → Multimodal RAG
- The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)Retrieval-augmented generation → Conversational and speech RAG
- GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-ExplanationLLM safety and security → Jailbreaking
- Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series ImputationDiffusion models → Flow matching, time series and science
- Reducing Transformer Key-Value Cache Size with Cross-Layer AttentionEfficient LLM inference and serving → KV cache optimization
- Personalized Residuals for Concept-Driven Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute ControlDiffusion models → Image generation, text-to-image and editing
- Aligning Transformers with Continuous Feedback via Energy Rank AlignmentLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing ImagesDiffusion models → Inverse problems and image restoration
- Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical PerspectiveLLM safety and security → Backdoor and data poisoning attacks
- C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and VulnerabilitiesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward ModelingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Multimodal Adaptive Inference for Document Image Classification with Anytime Early ExitingEfficient LLM inference and serving → Visual token pruning in multimodal models
- Model Free Prediction with Uncertainty AssessmentDiffusion models → Diffusion foundations and sampling
- Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Mamba in Speech: Towards an Alternative to Self-AttentionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-TeamingLLM safety and security → Prompt injection and agent security
- Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache CompressionEfficient LLM inference and serving → KV cache quantization
- Mining the Explainability and Generalization: Fact Verification Based on Self-InstructionSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile RoboticsWorld models → Medical and surgical world models
- DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert KnowledgeLLM reasoning → Clinical and biomedical applications
- PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM InferenceEfficient LLM inference and serving → KV cache optimization
- CustomText: Customized Textual Image Generation using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- LLM+Reasoning+Planning for Supporting Incomplete User Queries in Presence of APIsLLM reasoning → Reasoning benchmarks and evaluation
- Quelle 'ethique pour quelle IA ?
- Securing the Future of GenAI: Policy and Technology
- Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
- Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes
- AI in Manufacturing: Market Analysis and Opportunities
- Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration
- Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention
- NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis
- Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach
- Green AI in Action: Strategic Model Selection for Ensembles in Production
- The Power of Next-Frame Prediction for Learning Physical Laws
- Image Based Character Recognition, Documentation System To Decode Inscription From Temple
- How to train your ViT for OOD Detection
- Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
- A Novel Fusion Architecture for PD Detection Using Semi-Supervised Speech Embeddings
- Pseudo Channel: Time Embedding for Motor Imagery Decoding
- Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
- System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
- Improving Earth-like planet detection in radial velocity using deep learning
- A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings
- Goals as Reward-Producing Programs
- Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems
- Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications
- Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
- MELD-ST: An Emotion-aware Speech Translation Dataset
- Multiple Realizability and the Rise of Deep Learning
- Transfer Learning Approach for Railway Technical Map (RTM) Component Identification
- A rapid approach to urban traffic noise mapping with a generative adversarial network
- Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
- Paired Autoencoders for Likelihood-free Estimation in Inverse Problems
- How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?
- Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction
- Interactive Simulations of Backdoors in Neural Networks
- Equipping Transformer with Random-Access Reading for Long-Context Understanding
- Investigating Symbolic Capabilities of Large Language Models
- Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
- Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
- Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts
- Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis
- Global-Local Detail Guided Transformer for Sea Ice Recognition in Optical Remote Sensing Images
- Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
- CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers
- KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
- Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
- Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
- A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
- Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting
- Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
- Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data
- FairLENS: Assessing Fairness in Law Enforcement Speech Recognition
- Non-autoregressive real-time Accent Conversion model with voice cloning
- Data-Driven DRO and Economic Decision Theory: An Analytical Synthesis With Bayesian Nonparametric Advancements
- ReALLM: A general framework for LLM compression and fine-tuning
- Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS
- Interpretable Interaction Modeling for Trajectory Prediction via Agent Selection and Physical Coefficient
- Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation
- A novel reliability attack of Physical Unclonable Functions
- On Convergence of the Alternating Directions SGHMC Algorithm
- Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs
- Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model
- Pure Planning to Pure Policies and In Between with a Recursive Tree Planner
- Trading Volume Maximization with Online Learning
- Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust
- Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method
All 268
- The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach
- NieR: Normal-Based Lighting Scene Rendering
- Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution
- Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
- Graph neural networks informed locally by thermodynamics
- CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
- FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction
- SEGAN: semi-supervised learning approach for missing data imputation
- Combining Relevance and Magnitude for Resource-Aware DNN Pruning
- Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
- A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
- Children's Mental Models of Generative Visual and Text Based AI Models
- EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
- Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
- A K-means Algorithm for Financial Market Risk Forecasting
- OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
- EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels
- The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
- Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
- Online Learning of Halfspaces with Massart Noise
- Truncated Variance Reduced Value Iteration
- Strategic Deployment of Honeypots in Blockchain-based IoT Systems
- Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs
- AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection
- Learning the Infinitesimal Generator of Stochastic Diffusion Processes
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
- Code-mixed Sentiment and Hate-speech Prediction
- On Image Registration and Subpixel Estimation
- Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
- Panmodal Information Interaction
- G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation
- An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
- Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
- Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing
- Decentralized Federated Learning Over Imperfect Communication Channels
- Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
- DARK: Denoising, Amplification, Restoration Kit
- Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
- Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
- Explaining Expert Search and Team Formation Systems with ExES
- Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
- Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
- Transparency Distortion Robustness for SOTA Image Segmentation Tasks
- Toward Constraint Compliant Goal Formulation and Planning
- Influence of Water Droplet Contamination for Transparency Segmentation
- LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
- Inconsistency-Aware Cross-Attention for Audio-Visual Fusion in Dimensional Emotion Recognition
- Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy
- Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator
- A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
- OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
- SmartFlow: Robotic Process Automation using LLMs
- GotFunding: A grant recommendation system based on scientific articles
- A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
- Wav-KAN: Wavelet Kolmogorov-Arnold Networks
- Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension
- Large Language Models Meet NLP: A Survey
- FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
- MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video
- Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
- Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
- Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
- Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
- DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control
- Adaptive local boundary conditions to improve Deformable Image Registration
- Anticipating Object State Changes in Long Procedural Videos
- What Have We Achieved on Non-autoregressive Translation?
- Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey
- Generalize Polyp Segmentation via Inpainting across Diverse Backgrounds and Pseudo-Mask Refinement
- On Kernel-based Variational Autoencoder
- Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers
- Transformer in Touch: A Survey
- Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
- Blind Separation of Vibration Sources using Deep Learning and Deconvolution
- Cross-spectral Gated-RGB Stereo Depth Estimation
- BIMM: Brain Inspired Masked Modeling for Video Representation Learning
- Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
- Progress Measures for Grokking on Real-world Tasks
- Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model
- The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning
- Multi-Subject Personalization
- Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors
- Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations
- Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
- RemoCap: Disentangled Representation Learning for Motion Capture
- StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
- Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
- RecGPT: Generative Pre-training for Text-based Recommendation
- Dynamic Identity-Guided Attention Network for Visible-Infrared Person Re-identification
- From Human-to-Human to Human-to-Bot Conversations in Software Engineering
- A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition
- Text-Video Retrieval with Global-Local Semantic Consistent Learning
- Multimodal video analysis for crowd anomaly detection using open access tourism cameras
- OLAPH: Improving Factuality in Biomedical Long-form Question Answering
- Explainable offline automatic signature verifier to support forensic handwriting examiners
- Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
- A Multimodal Learning-based Approach for Autonomous Landing of UAV
- Experimental investigation of trans-scale displacement responses of wrinkle defects in fiber reinforced composite laminates
- A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
- SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors
- LAGA: Layered 3D Avatar Generation and Customization via Gaussian Splatting
- EmoEdit: Evoking Emotions through Image Manipulation
- Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
- Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
- Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
- PoseGravity: Pose Estimation from Points and Lines with Axis Prior
- Multiscale lubrication simulation based on fourier feature networks with trainable frequency
- Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition
- Exploration of Masked and Causal Language Modelling for Text Generation
- Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots
- Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
- MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare
- Quantifying Semantic Emergence in Language Models
- Learning Causal Dynamics Models in Object-Oriented Environments
- Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks
- Tagengo: A Multilingual Chat Dataset
- S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
- FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
- Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
- Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?
- Marginal and training-conditional guarantees in one-shot federated conformal prediction
- ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
- Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach
- Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent
- Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
- Context-Enhanced Video Moment Retrieval with Large Language Models
- Bridging the Intent Gap: Knowledge-Enhanced Visual Generation
- Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering
- SirLLM: Streaming Infinite Retentive LLM
- Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models
- Unleash Graph Neural Networks from Heavy Tuning
- MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
- Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity
- Rethink Predicting the Optical Flow with the Kinetics Perspective
- Active Object Detection with Knowledge Aggregation and Distillation from Large Models
- NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction
- CLRKDNet: Speeding up Lane Detection with Knowledge Distillation
- EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
- Entropic associative memory for real world images
- Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
- Customize Your Own Paired Data via Few-shot Way
- Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
- Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection
- Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery
- Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection -- Towards Precise Fish Morphological Assessment in Aquaculture Breeding
- GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
- How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
- Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
- Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
- A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
- Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schr"odinger Bridge
- Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix
- WorldAfford: Affordance Grounding based on Natural Language Instructions
- Physics-based Scene Layout Generation from Human Motion
- TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
- Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
- Mutual Information Analysis in Multimodal Learning Systems
- Prompt-Based Spatio-Temporal Graph Transfer Learning
- PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4
- EPL: Empirical Prototype Learning for Deep Face Recognition
- FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation
- Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
- No-Regret Mnatural-Concave Function Maximization: Stochastic Bandit Algorithms and Hardness of Adversarial Full-Information Setting
- CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents
- Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
- Deep learning approaches to indoor wireless channel estimation for low-power communication
- Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers