mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 12 Sep 2024

251 papers

  1. HiRT: Enhancing Robotic Control with Hierarchical Robot TransformersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  2. Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift GeneralizationRetrieval-augmented generation → RAG pipeline design and evaluation
  3. On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application DomainsRetrieval-augmented generation → Privacy and security of RAG
  4. Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User InteractionsDeep reinforcement learning methods → RL training of language and agent models
  5. Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated DataSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  6. SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion TransformerDiffusion models → Audio, speech and music
  7. Fitted Q-Iteration via Max-Plus-Linear ApproximationOffline RL and imitation learning from data → Offline RL algorithms +1
  8. Knowledge Tagging with Large Language Model based Multi-Agent SystemLLM agents and tool use → Web, search, and research agents
  9. Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learningDiffusion models → Diffusion and flow policies for robotics +2
  10. Self-Supervised Inference of Agents in Trustless EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance
  11. Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear SystemsDeep reinforcement learning methods → RL theory and sample complexity
  12. Rethinking Prompting Strategies for Multi-Label Recognition with Partial AnnotationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  13. Theoretical guarantees in KL for Diffusion Flow MatchingDiffusion models → Flow matching, time series and science
  14. MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  15. DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion PriorsDiffusion models → Video generation
  16. DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge TransferDiffusion models → 3D, point cloud and scene generation
  17. Windows Agent Arena: Evaluating Multi-Modal OS Agents at ScaleLLM agents and tool use → GUI and mobile agents
  18. Improving Text-guided Object Inpainting with Semantic Pre-inpaintingDiffusion models → 3D, point cloud and scene generation
  19. Improving Virtual Try-On with Garment-focused Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  20. LoRID: Low-Rank Iterative Diffusion for Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
  21. Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative GroundingDiffusion models → Image generation, text-to-image and editing
  22. TextBoost: Boosting Text Encoder for Personalized Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  23. IFAdapter: Instance Feature Control for Grounded Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  24. Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data SourcesSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  25. Towards Online Safety Corrections for Robotic Manipulation PoliciesDeep reinforcement learning methods → Safe and constrained RL
  26. Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  27. LT3SD: Latent Trees for 3D Scene DiffusionDiffusion models → 3D, point cloud and scene generation
  28. ComAlign: Compositional Alignment in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  29. What Makes a Maze Look Like a Maze?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  30. MagicStyle: Portrait Stylization Based on Reference ImageDiffusion models → Image generation, text-to-image and editing
  31. Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  32. Securing Large Language Models: Addressing Bias, Misinformation, and Prompt AttacksLLM safety and security → Prompt injection and agent security
  33. Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt InterpolationDiffusion models → Image generation, text-to-image and editing
  34. Q-value Regularized Decision ConvFormer for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  35. Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using JailbreakingLLM safety and security → Membership inference attacks
  36. Scribble-Guided Diffusion for Training-free Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  37. Learning Causally Invariant Reward Functions from Diverse DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning +1
  38. Games for AI Control: Models of Safety Evaluations of AI Deployment ProtocolsLLM safety and security → Prompt injection and agent security
  39. Autonomous Vehicle Controllers From End-to-End Differentiable SimulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  40. WirelessAgent: Large Language Model Agents for Intelligent Wireless NetworksLLM agents and tool use → Agentic AI for wireless networks
  41. Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion ModelsDiffusion models → Flow matching, time series and science
  42. Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  43. Reinforcement Learning Discovers Efficient Decentralized Graph Path Search StrategiesDeep reinforcement learning methods → RL for games and combinatorial optimization
  44. Learning Skateboarding for Humanoid Robots through Massively Parallel Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  45. Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales: Extended VersionDeep reinforcement learning methods → RL theory and sample complexity
  46. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made StableEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  47. A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement LearningLLM safety and security → Prompt injection and agent security
  48. Alignment with Preference Optimization Is All You Need for LLM SafetyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  49. Resilient Learning-Based Control Under Denial-of-Service AttacksDeep reinforcement learning methods → Safe and constrained RL
  50. DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingDiffusion models → Diffusion foundations and sampling
  51. LOCKEY: A Novel Approach to Model Authentication and Deepfake TrackingLLM safety and security → Watermarking generated content and models
  52. Attack End-to-End Autonomous Driving through Module-Wise NoiseEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  53. DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?LLM reasoning → Reasoning for agents, planning and code +2
  54. Critically Damped Third-Order Langevin DynamicsDiffusion models → Diffusion foundations and sampling
  55. Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed ScenariosKnowledge distillation → General knowledge distillation methods
  56. Influence of Backdoor Paths on Causal Link Prediction
  57. HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
  58. DVS: Blood cancer detection using novel CNN-based ensemble approach
  59. Large Language Model-Guided Semantic Alignment for Human Activity Recognition
  60. Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
  61. Neural Product Importance Sampling via Warp Composition
  62. EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG
  63. Instance Configuration for Sustainable Job Shop Scheduling
  64. Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better
  65. Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions
  66. ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
  67. TheraGen: Therapy for Every Generation
  68. Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
  69. LogoRA: Local-Global Representation Alignment for Robust Time Series Classification
  70. meds_reader: A fast and efficient EHR processing library
  71. Establish seedling quality classification standard for Chrysanthemum efficiently with help of deep clustering algorithm
  72. DeCLIP: Decoding CLIP representations for deepfake localization
  73. Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
  74. Wasserstein Distributionally Robust Multiclass Support Vector Machine
  75. 360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
  76. Federated One-Shot Ensemble Clustering
  77. Graphical Structural Learning of rs-fMRI data in Heavy Smokers
  78. Higher-Order Topological Directionality and Directed Simplicial Neural Networks
  79. Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
  80. Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
  81. Noisy Low Rank Column-wise Sensing
  82. The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
  83. Learned Compression for Images and Point Clouds
  84. FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
  85. E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
  86. An Experimental Study of Competitive Market Behavior Through LLMs
  87. COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning
  88. Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos
  89. Bayesian Inverse Graphics for Few-Shot Concept Learning
  90. Towards Quantifying and Reducing Language Mismatch Effects in Cross-Lingual Speech Anti-Spoofing
  91. SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
  92. Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
  93. Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
  94. Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
  95. DiReDi: Distillation and Reverse Distillation for AIoT Applications
  96. Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
  97. AnySkin: Plug-and-play Skin Sensing for Robotic Touch
  98. Hand-Object Interaction Pretraining from Videos
  99. Click2Mask: Local Editing with Dynamic Mask Generation
  100. FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally
All 251
  1. Learning incomplete factorization preconditioners for GMRES
  2. The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting
  3. OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
  4. Style-based Clustering of Visual Artworks and the Play of Neural Style-Representations
  5. Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems
  6. LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems
  7. Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
  8. Photonic Quantum Computers
  9. CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
  10. Adaptive Language-Guided Abstraction from Contrastive Explanations
  11. Graph Laplacian-based Bayesian Multi-fidelity Modeling
  12. VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis
  13. Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
  14. AudioBERT: Audio Knowledge Augmented Language Model
  15. Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video
  16. Fine-tuning Large Language Models for Entity Matching
  17. Enhancing Canine Musculoskeletal Diagnoses: Leveraging Synthetic Image Data for Pre-Training AI-Models on Visual Documentations
  18. Identification of head impact locations, speeds, and force based on head kinematics
  19. Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation
  20. AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images
  21. Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
  22. High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis
  23. Open Source Infrastructure for Automatic Cell Segmentation
  24. Cross-Attention Based Influence Model for Manual and Nonmanual Sign Language Analysis
  25. On the Role of Context in Reading Time Prediction
  26. SDformer: Efficient End-to-End Transformer for Depth Completion
  27. LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models
  28. Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models
  29. The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine
  30. GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices
  31. Review of Recent Advances in Gaussian Process Regression Methods
  32. Towards a graph-based foundation model for network traffic analysis
  33. WhisperNER: Unified Open Named Entity and Speech Recognition
  34. DEMAU: Decompose, Explore, Model and Analyse Uncertainties
  35. The Faetar Benchmark: Speech Recognition in a Very Under-Resourced Language
  36. Bayesian Self-Training for Semi-Supervised 3D Segmentation
  37. The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal
  38. Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
  39. EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance
  40. SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality
  41. TravelAgent: An AI Assistant for Personalized Travel Planning
  42. AutoPET Challenge: Tumour Synthesis for Data Augmentation
  43. Self-Supervised Learning of Iterative Solvers for Constrained Optimization
  44. InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors
  45. Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications
  46. Expansive Supervision for Neural Radiance Field
  47. Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
  48. Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis
  49. Heterogeneous Sheaf Neural Networks
  50. LED: Light Enhanced Depth Estimation at Night
  51. iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
  52. Edge-Wise Graph-Instructed Neural Networks
  53. Network Anomaly Traffic Detection via Multi-view Feature Fusion
  54. Multiplex Graph Contrastive Learning with Soft Negatives
  55. OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation
  56. Privacy-preserving federated prediction of pain intensity change based on multi-center survey data
  57. Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes
  58. Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
  59. SPARK: Self-supervised Personalized Real-time Monocular Face Capture
  60. Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals
  61. Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction
  62. Localized Schr"odinger Bridge Sampler
  63. Locality-aware Cross-modal Correspondence Learning for Dense Audio-Visual Events Localization
  64. ProbTalk3D: Non-Deterministic Emotion Controllable Speech-Driven 3D Facial Animation Synthesis Using VQ-VAE
  65. Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
  66. Enhanced Online Grooming Detection Employing Context Determination and Message-Level Analysis
  67. Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning
  68. What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
  69. Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
  70. Control+Shift: Generating Controllable Distribution Shifts
  71. Modeling Human Responses by Ordinal Archetypal Analysis
  72. Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification
  73. A convolutional neural network approach to deblending seismic data
  74. A framework for measuring the training efficiency of a neural architecture
  75. Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning
  76. InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation
  77. UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
  78. Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks
  79. From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
  80. FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
  81. Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
  82. MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models
  83. A corpus-based investigation of pitch contours of monosyllabic words in conversational Taiwan Mandarin
  84. BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
  85. UNIT: Unsupervised Online Instance Segmentation through Time
  86. Graph Neural Networks for Parkinsons Disease Detection
  87. Non-negative Weighted DAG Structure Learning
  88. Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
  89. Learning Rules from KGs Guided by Language Models
  90. Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
  91. Audio Decoding by Inverse Problem Solving
  92. Improve Machine Learning carbon footprint using Nvidia GPU and Mixed Precision training for classification models -- Part I
  93. Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
  94. Real-time Multi-view Omnidirectional Depth Estimation for Real Scenarios based on Teacher-Student Learning with Unlabeled Data
  95. TSELM: Target Speaker Extraction using Discrete Tokens and Language Models
  96. FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection
  97. Structured Pruning for Efficient Visual Place Recognition
  98. Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
  99. Bridging Paintings and Music -- Exploring Emotion based Music Generation through Paintings
  100. Deep Multimodal Learning with Missing Modality: A Survey
  101. Online vs Offline: A Comparative Study of First-Party and Third-Party Evaluations of Social Chatbots
  102. Over-the-Air Federated Learning via Weighted Aggregation
  103. Selling Joint Ads: A Regret Minimization Perspective
  104. What is YOLOv9: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector
  105. Controllable Synthetic Clinical Note Generation with Privacy Guarantees
  106. FedHide: Federated Learning by Hiding in the Neighbors
  107. SURGIVID: Annotation-Efficient Surgical Video Object Discovery
  108. GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions
  109. Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction
  110. WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems
  111. Efficient Learning of Balanced Signed Graphs via Iterative Linear Programming
  112. Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
  113. Full-text Error Correction for Chinese Speech Recognition with Large Language Model
  114. Stable Language Model Pre-training by Reducing Embedding Variability
  115. XMOL: Explainable Multi-property Optimization of Molecules
  116. Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation
  117. AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation
  118. Training Spiking Neural Networks via Augmented Direct Feedback Alignment
  119. ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
  120. Layer-aware TDNN: Speaker Recognition Using Multi-Layer Features from Pre-Trained Models
  121. Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
  122. Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning
  123. Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
  124. SwinGS: Sliding Window Gaussian Splatting for Volumetric Video Streaming with Arbitrary Length
  125. From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
  126. Relevance for Human Robot Collaboration
  127. GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution
  128. Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
  129. Top-down Activity Representation Learning for Video Question Answering
  130. Multi-object event graph representation learning for Video Question Answering
  131. Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
  132. Ruri: Japanese General Text Embeddings
  133. Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
  134. DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
  135. Large Language Models are Pattern Matchers: Editing Semi-Structured and Structured Documents with ChatGPT
  136. Music auto-tagging in the long tail: A few-shot approach
  137. GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
  138. Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
  139. FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
  140. CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model
  141. Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice
  142. Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
  143. Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
  144. Super Monotonic Alignment Search
  145. TMFNet: Two-Stream Multi-Channels Fusion Networks for Color Image Operation Chain Detection
  146. Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
  147. Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War
  148. Open-Vocabulary Remote Sensing Image Semantic Segmentation
  149. Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
  150. An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting
  151. Transformed Physics-Informed Neural Networks for The Convection-Diffusion Equation