mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 22 May 2024

344 papers

  1. More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  2. Data-Free Federated Class Incremental Learning with Diffusion-Based Generative MemoryDiffusion models → Robustness, privacy and adversarial aspects
  3. Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsDiffusion models → Inverse problems and image restoration
  4. ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
  5. Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier CertificatesDeep reinforcement learning methods → Safe and constrained RL
  6. Embedding Trajectory for Out-of-Distribution Detection in Mathematical ReasoningLLM reasoning → Mathematical reasoning
  7. WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and ResponseLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  8. I2I-Mamba: Multi-modal medical image synthesis via selective state space modelingState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  9. A Study of Posterior Stability for Time-Series Latent DiffusionDiffusion models → Diffusion foundations and sampling
  10. Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and BiasesLLM safety and security → Machine unlearning
  11. Watermarking Generative Tabular DataLLM safety and security → Watermarking generated content and models
  12. Evaluating Large Language Models with Human Feedback: Establishing a Swedish BenchmarkLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  13. Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  14. Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared SpaceEnd-to-end autonomous driving → Reinforcement learning for driving
  15. Model Editing as a Robust and Denoised variant of DPO: A Case Study on ToxicityLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  16. On the Brittle Foundations of ReAct Prompting for Agentic Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
  17. Design Editing for Offline Model-based OptimizationDiffusion models → Diffusion foundations and sampling
  18. Learning To Play Atari Games Using Dueling Q-Learning and Hebbian PlasticityDeep reinforcement learning methods → Deep RL algorithms and representations
  19. Learning to sample fibers for goodness-of-fit testingDeep reinforcement learning methods → RL theory and sample complexity
  20. Leader Reward for POMO-Based Neural Combinatorial OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
  21. HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space ModelState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  22. Learning Latent Space Hierarchical EBM Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  23. FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  24. Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  25. Automatically Identifying Local and Global Circuits with Linear Computation GraphsMechanistic interpretability → Circuits and mechanistic analysis
  26. ReVideo: Remake a Video with Motion and Content ControlDiffusion models → Video generation
  27. Dynamic Model Predictive Shielding for Provably Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  28. Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  29. Towards Comprehensive Post Safety Alignment of Large Language Models via Safety PatchingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  30. Dense Connector for MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  31. Conditioning diffusion models by explicit forward-backward bridgingDiffusion models → Diffusion foundations and sampling
  32. xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenRetrieval-augmented generation → Generation and context integration +1
  33. No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  34. A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual GenerationDiffusion models → Audio, speech and music
  35. Offline RL via Feature-Occupancy Gradient AscentOffline RL and imitation learning from data → Offline RL algorithms
  36. GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum GamesLLM reasoning → Spatial and embodied reasoning +1
  37. ComboStoc: Combinatorial Stochasticity for Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  38. Score-based Generative Models with Adaptive MomentumDiffusion models → Diffusion foundations and sampling
  39. Learning Diffusion Priors from Observations by Expectation MaximizationDiffusion models → Inverse problems and image restoration
  40. Financial Models in Generative Art: Black-Scholes-Inspired Concept Blending in Text-to-Image DiffusionDiffusion models → Image generation, text-to-image and editing
  41. ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing VehiclesDeep reinforcement learning methods → RL for robot navigation and UAV control
  42. Knowledge Graph Reasoning with Self-supervised Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
  43. Curriculum Direct Preference Optimization for Diffusion and Consistency ModelsDiffusion models → Diffusion and flow policies for robotics +1
  44. Audio Mamba: Pretrained Audio State Space Model For Audio TaggingState-space sequence models (S4, Mamba) → Speech and audio SSMs
  45. Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowDeep reinforcement learning methods → RL with diffusion and flow models
  46. Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  47. Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  48. Almost sure convergence rates of stochastic gradient methods under gradient dominationDeep reinforcement learning methods → RL theory and sample complexity
  49. Safety Alignment for Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  50. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearchMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  51. Reinforcement Learning for Adaptive MCMCDeep reinforcement learning methods → RL theory and sample complexity
  52. Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure GuidanceLLM reasoning → Spatial and embodied reasoning
  53. MotionCraft: Physics-based Zero-Shot Video GenerationDiffusion models → Video generation
  54. HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language ModelEnd-to-end autonomous driving → Large language models for driving
  55. Annotation-Efficient Language Model Alignment via Diverse and Representative Response TextsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  56. Directly Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  57. What Makes Good Few-shot Examples for Vision-Language Models?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  58. LIRE: listwise reward enhancement for preference alignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  59. Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge DistillationKnowledge distillation → Speech and audio distillation
  60. Class-Conditional self-reward mechanism for improved Text-to-Image modelsDiffusion models → Image generation, text-to-image and editing +2
  61. Adapting Multi-modal Large Language Model to Concept Drift From Pre-training OnwardsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  62. Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split TrainingOffline RL and imitation learning from data → Offline RL algorithms
  63. Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax ReductionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  64. TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG +1
  65. How to Trace Latent Generative Model Generated Images without Artificial Watermark?Diffusion models → Robustness, privacy and adversarial aspects
  66. Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human InterventionEnd-to-end autonomous driving → Reinforcement learning for driving +1
  67. Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction TuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  68. Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence GuaranteesDeep reinforcement learning methods → Deep RL algorithms and representations
  69. Big5PersonalityEssays: Introducing a Novel Synthetic Generated Dataset Consisting of Short State-of-Consciousness Essays Annotated Based on the Five Factor Model of Personality
  70. Performance Comparison of Various Modes of Advanced Encryption Standard
  71. OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
  72. A Parametric Contextual Online Learning Theory of Brokerage
  73. Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option
  74. Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
  75. Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
  76. Application of Multimodal Fusion Deep Learning Model in Disease Recognition
  77. Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
  78. GS-ROR2: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction
  79. A Set-based Approach for Feature Extraction of 3D CAD Models
  80. Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports
  81. KU-DMIS at EHRSQL 2024:Generating SQL query via question templatization in EHR
  82. Resonate-and-Fire Spiking Neurons for Target Detection and Hand Gesture Recognition: A Hybrid Approach
  83. WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
  84. Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
  85. Riemannian Bilevel Optimization
  86. A social path to human-like artificial intelligence
  87. From CNNs to Transformers in Multimodal Human Action Recognition: A Survey
  88. NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation
  89. Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge
  90. DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
  91. ABI Approach: Automatic Bias Identification in Decision-Making Under Risk based in an Ontology of Behavioral Economics
  92. Online Classification with Predictions
  93. Building a stable classifier with the inflated argmax
  94. Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
  95. Probabilistic Inference in the Era of Tensor Networks and Differential Programming
  96. Your Large Language Models Are Leaving Fingerprints
  97. How Many Bytes Can You Take Out Of Brain-To-Text Decoding?
  98. A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics
  99. Particle physics DL-simulation with control over generated data properties
  100. Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
All 344
  1. FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
  2. Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization
  3. Refining Skewed Perceptions in Vision-Language Contrastive Models through Visual Representations
  4. Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves
  5. BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
  6. MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
  7. Towards a Unified Framework for Evaluating Explanations
  8. RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
  9. Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models
  10. One-shot Training for Video Object Segmentation
  11. ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation
  12. Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces
  13. A Practice in Enrollment Prediction with Markov Chain Models
  14. Animal Behavior Analysis Methods Using Deep Learning: A Survey
  15. Nondeterministic Causal Models
  16. Computer-Vision-Enabled Worker Video Analysis for Motion Amount Quantification
  17. CViT: Continuous Vision Transformer for Operator Learning
  18. Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
  19. Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint
  20. AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing
  21. Learning Cut Generating Functions for Integer Programming
  22. TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System
  23. Analysis of Corrected Graph Convolutions
  24. LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
  25. Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
  26. DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis
  27. Rank Reduction Autoencoders
  28. Robust Hyperbolic Learning with Curvature-Aware Optimization
  29. Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
  30. Improving Fairness and Mitigating MADness in Generative Models
  31. EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
  32. HOPE for a Robust Parameterization of Long-memory State Space Models
  33. CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
  34. Infinite-Dimensional Feature Interaction
  35. Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids
  36. Robust Generative Learning with Lipschitz-Regularized α-Divergences Allows Minimal Assumptions on Target Distributions
  37. SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
  38. Exploring the Relationship Between Feature Attribution Methods and Model Performance
  39. Attention as an RNN
  40. What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
  41. Spectral Adapter: Fine-Tuning in Spectral Space
  42. Text Prompting for Multi-Concept Video Customization by Autoregressive Generation
  43. PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
  44. A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
  45. DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
  46. Principal eigenstate classical shadows
  47. eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization
  48. Node-Time Conditional Prompt Learning In Dynamic Graphs
  49. Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models
  50. Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
  51. A Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
  52. Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian
  53. Why Not Transform Chat Large Language Models to Non-English?
  54. Towards Certification of Uncertainty Calibration under Adversarial Attacks
  55. Fair Online Bilateral Trade
  56. Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
  57. TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
  58. Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries
  59. ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos
  60. LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
  61. Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers
  62. Rehearsal-free Federated Domain-incremental Learning
  63. Symmetric Linear Bandits with Hidden Symmetry
  64. A General Framework for Jersey Number Recognition in Sports Video
  65. DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks
  66. Marrying Causal Representation Learning with Dynamical Systems for Science
  67. FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
  68. Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching
  69. FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
  70. Scaling-laws for Large Time-series Models
  71. Koopcon: A new approach towards smarter and less complex learning
  72. Just rotate it! Uncertainty estimation in closed-source models via multiple queries
  73. MAGIC: Map-Guided Few-Shot Audio-Visual Acoustics Modeling
  74. Accurate Quantization for Gait Representation Learning
  75. Carbon Connect: An Ecosystem for Sustainable Computing
  76. On the dynamics of convolutional recurrent neural networks near their critical point
  77. Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
  78. Maximum Manifold Capacity Representations in State Representation Learning
  79. Regression Trees Know Calculus
  80. Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
  81. Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
  82. Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
  83. Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
  84. Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
  85. GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval
  86. Identifiability of Differential-Algebraic Systems
  87. Thermodynamic Natural Gradient Descent
  88. Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
  89. Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
  90. Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
  91. A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
  92. Perceptual Fairness in Image Restoration
  93. "I Like Sunnie More Than I Expected!": Exploring User Expectation and Perception of an Anthropomorphic LLM-based Conversational Agent for Well-Being Support
  94. Slaves to the Law of Large Numbers: An Asymptotic Equipartition Property for Perplexity in Generative Language Models
  95. Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
  96. Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose
  97. Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Target
  98. Towards Explainable Test Case Prioritisation with Learning-to-Rank Models
  99. Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
  100. Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment
  101. Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
  102. Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
  103. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation
  104. On the stability of gradient descent with second order dynamics for time-varying cost functions
  105. Banded Square Root Matrix Factorization for Differentially Private Model Training
  106. Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
  107. Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
  108. A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data
  109. Grounding Toxicity in Real-World Events across Languages
  110. A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence
  111. Monocular Gaussian SLAM with Language Extended Loop Closure
  112. CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
  113. NeurCross: A Neural Approach to Computing Cross Fields for Quad Mesh Generation
  114. Mining Action Rules for Defect Reduction Planning
  115. Interpolation with deep neural networks with non-polynomial activations: necessary and sufficient numbers of neurons
  116. Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model
  117. Control, Transport and Sampling: Towards Better Loss Design
  118. LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
  119. Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
  120. Next-token prediction capacity: general upper bounds and a lower bound for transformers
  121. Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
  122. VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
  123. Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies
  124. Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
  125. Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
  126. How to set AdamW's weight decay as you scale model and dataset size
  127. Gaussian Time Machine: A Real-Time Rendering Methodology for Time-Variant Appearances
  128. Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
  129. Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
  130. Neural Networks-based Random Vortex Methods for Modelling Incompressible Flows
  131. Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
  132. CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
  133. Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
  134. Naturally Private Recommendations with Determinantal Point Processes
  135. Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
  136. Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning
  137. GNN-based Anomaly Detection for Encoded Network Traffic
  138. Generalization Bounds for Dependent Data using Online-to-Batch Conversion
  139. EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
  140. A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology
  141. On Hardware-efficient Inference in Probabilistic Circuits
  142. Task agnostic continual learning with Pairwise layer architecture
  143. From the evolution of public data ecosystems to the evolving horizons of the forward-looking intelligent public data ecosystem empowered by emerging technologies
  144. COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing
  145. LogRCA: Log-based Root Cause Analysis for Distributed Services
  146. Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
  147. Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
  148. Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning
  149. AltChart: Enhancing VLM-based Chart Summarization Through Multi-Pretext Tasks
  150. ConTrans: Weak-to-Strong Alignment Engineering via Concept Transplantation
  151. Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
  152. Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation
  153. MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
  154. CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP
  155. AI-Assisted Assessment of Coding Practices in Modern Code Review
  156. Navigating User Experience of ChatGPT-based Conversational Recommender Systems: The Effects of Prompt Guidance and Recommendation Domain
  157. A Perspective Analysis of Handwritten Signature Technology
  158. The Influencer Next Door: How Misinformation Creators Use GenAI
  159. Large Language Models are Effective Priors for Causal Graph Discovery
  160. ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing
  161. Knowledge-Driven Cross-Document Relation Extraction
  162. Ultra-Fast Adaptive Track Detection Network
  163. Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
  164. Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
  165. The correlation between nativelike selection and prototypicality: a multilingual onomasiological case study using semantic embedding
  166. End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
  167. Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
  168. Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective
  169. PerSense: Training-Free Personalized Instance Segmentation in Dense Images
  170. WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness
  171. Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
  172. Coverage Path Planning for Thermal Interface Materials
  173. Latent Space Alignment for Semantic Channel Equalization
  174. Non-Deterministic Planning for Hyperproperty Verification
  175. Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
  176. Continual Learning in Medical Imaging: A Survey and Practical Analysis
  177. Locally Private Estimation with Public Features
  178. Why do explanations fail? A typology and discussion on failures in XAI
  179. Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks
  180. Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra
  181. AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning
  182. Blockchain and Artificial Intelligence: Synergies and Conflicts
  183. Analogical proportions II
  184. Deep linear networks for regression are implicitly regularized towards flat minima
  185. A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
  186. A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
  187. Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization
  188. Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
  189. Dynamically enhanced static handwriting representation for Parkinson's disease detection
  190. Adaptive Fuzzy C-Means with Graph Embedding
  191. A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
  192. Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
  193. Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections
  194. Multi Player Tracking in Ice Hockey with Homographic Projections
  195. Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers
  196. A theory of neural emulators
  197. NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
  198. Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
  199. Convergence analysis of kernel learning FBSDE filter
  200. HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
  201. Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation
  202. 360Zhinao Technical Report
  203. Gradient Projection For Continual Parameter-Efficient Tuning
  204. VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
  205. Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding
  206. You don't understand me!: Comparing ASR results for L1 and L2 speakers of Swedish
  207. FedCache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation
  208. Markerless retro-identification complements re-identification of individual insect subjects in archived image data of biological experiments
  209. Adaptive Data Analysis for Growing Data
  210. Collaboration of Teachers for Semi-supervised Object Detection
  211. Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
  212. Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
  213. Communication-Efficient Federated Learning via Clipped Uniform Quantization
  214. Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
  215. AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs
  216. Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settings
  217. Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
  218. "Turing Tests" For An AI Scientist
  219. Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages
  220. On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity
  221. Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
  222. Convergence of the Deep Galerkin Method for Finite State Mean Field Control Problems
  223. Contextualized Automatic Speech Recognition with Dynamic Vocabulary
  224. Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens
  225. Vision Transformer with Sparse Scan Prior
  226. Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
  227. High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training
  228. DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
  229. Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
  230. ''You should probably read this'': Hedge Detection in Text
  231. Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
  232. Accelerated Evaluation of Ollivier-Ricci Curvature Lower Bounds: Bridging Theory and Computation
  233. FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
  234. Metadata Integration for Spam Reviews Detection on Vietnamese E-commerce Websites
  235. AUGlasses: Continuous Action Unit based Facial Reconstruction with Low-power IMUs on Smart Glasses
  236. Remarks on Loss Function of Threshold Method for Ordinal Regression Problem
  237. Enhancing Active Learning for Sentinel 2 Imagery through Contrastive Learning and Uncertainty Estimation
  238. Single color digital H&E staining with In-and-Out Net
  239. DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
  240. A Multilingual Similarity Dataset for News Article Frame
  241. Stochastic Online Conformal Prediction with Semi-Bandit Feedback
  242. FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging
  243. Part-based Quantitative Analysis for Heatmaps
  244. Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images