mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 6 Nov 2024

253 papers

  1. Opportunities of Reinforcement Learning in South Africa's Just TransitionDeep reinforcement learning methods → RL for energy, networks and operations
  2. Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative AnnotatorsLLM safety and security → Safety alignment, refusal and guardrails
  3. Multivariate Data Augmentation for Predictive Maintenance using DiffusionDiffusion models → Flow matching, time series and science
  4. LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space ExplorationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  5. Towards Interpreting Language Models: A Case Study in Multi-Hop ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  6. Boosting Latent Diffusion with Perceptual ObjectivesDiffusion models → Diffusion foundations and sampling
  7. SEE-DPO: Self Entropy Enhanced Direct Preference OptimizationDiffusion models → Diffusion and flow policies for robotics +1
  8. Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +3
  9. Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-RewardingLLM reasoning → Test-time compute and efficient thinking +1
  10. PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose ClothingDiffusion models → 3D, point cloud and scene generation
  11. Approximate Equivariance in Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  12. Diversity Helps Jailbreak Large Language ModelsLLM safety and security → Jailbreaking
  13. Quantum Diffusion Models for Few-Shot LearningDiffusion models → Diffusion foundations and sampling
  14. DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationDiffusion models → Medical imaging and segmentation +1
  15. Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?Multimodal LLMs / vision-language models → Medical vision-language models
  16. Self-Consistency Preference OptimizationLLM reasoning → Mathematical reasoning +1
  17. A Comparative Study of Deep Reinforcement Learning for Crop Production ManagementDeep reinforcement learning methods → RL for energy, networks and operations
  18. A Implies B: Circuit Analysis in LLMs for Propositional Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  19. Interpretable and Efficient Data-driven Discovery and Control of Distributed SystemsDeep reinforcement learning methods → RL theory and sample complexity
  20. RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  21. H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  22. Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural CloningOffline RL and imitation learning from data → Imitation learning methods
  23. Non-Stationary Learning of Neural Networks with Automatic Soft Parameter ResetDeep reinforcement learning methods → RL theory and sample complexity
  24. Select2Plan: Training-Free ICL-Based Planning through VQA and Memory RetrievalMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  25. ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics +1
  26. ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  27. Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  28. Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning TasksState-space sequence models (S4, Mamba) → Core SSM architectures for language
  29. Game-Theoretic Machine Unlearning: Mitigating Extra Privacy LeakageLLM safety and security → Machine unlearning
  30. Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  31. EXPLORA: Efficient Exemplar Subset Selection for Complex ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  32. AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-MakingLLM agents and tool use → Reinforcement learning for LLM agents
  33. ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial OptimizationDiffusion models → Robustness, privacy and adversarial aspects +1
  34. MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  35. DesignMinds: Enhancing Video-Based Design Ideation with Vision-Language Model and Context-Injected Large Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  36. Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLMMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  37. Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCDeep reinforcement learning methods → Deep RL algorithms and representations
  38. From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  39. MRJ-Agent: An Effective Jailbreak Agent for Multi-Round DialogueLLM agents and tool use → Agent threats, guardrails and governance +1
  40. Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics DataDeep reinforcement learning methods → Deep RL algorithms and representations
  41. Understanding the Effects of Human-written Paraphrases in LLM-generated Text DetectionLLM safety and security → Watermarking generated content and models
  42. VQA2: Visual Question Answering for Video Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  43. The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched SpeculationEfficient LLM inference and serving → Speculative decoding
  44. Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI ReconstructionDiffusion models → Medical imaging and segmentation
  45. Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion ModelDiffusion models → Medical imaging and segmentation
  46. Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information ExtractionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  47. The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
  48. LEGATO: Cross-Embodiment Imitation Using a Grasping ToolOffline RL and imitation learning from data → Robot manipulation imitation learning
  49. MetaSSC: Enhancing 3D Semantic Scene Completion for Autonomous Driving through Meta-Learning and Long-sequence ModelingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  50. StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  51. Temporal-Difference Learning Using Distributed Error SignalsDeep reinforcement learning methods → Deep RL algorithms and representations
  52. Investigating Conceptual Blending of a Diffusion Model for Improving Nonword-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  53. Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  54. Towards Personalized Federated Learning via Comprehensive Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
  55. Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits
  56. Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
  57. Rising Rested Bandits: Lower Bounds and Efficient Algorithms
  58. Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading
  59. Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data
  60. A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical Domain
  61. PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
  62. Constrained composite Bayesian optimization for rational synthesis of polymeric particles
  63. A Fundamental Accuracy--Robustness Trade-off in Regression and Classification
  64. spadesuit SPADE spadesuit Split Peak Attention DEcomposition
  65. Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
  66. Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks
  67. Federated Data-Driven Kalman Filtering for State Estimation
  68. Reducing catastrophic forgetting of incremental learning in the absence of rehearsal memory with task-specific token
  69. Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision
  70. Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
  71. FLEXtime: Filterbank learning to explain time series
  72. StegaVision: Enhancing Steganography with Attention Mechanism
  73. Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
  74. Prion-ViT: Prions-Inspired Vision Transformers for Temperature prediction with Specklegrams
  75. Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
  76. Fully Automated Correlated Time Series Forecasting in Minutes
  77. Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
  78. To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation
  79. Improving Radiology Report Conciseness and Structure via Local Large Language Models
  80. Bottom-Up and Top-Down Analysis of Values, Agendas, and Observations in Corpora and LLMs
  81. YouTube Comments Decoded: Leveraging LLMs for Low Resource Language Classification
  82. From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
  83. Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
  84. Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory
  85. On-Device Emoji Classifier Trained with GPT-based Data Augmentation for a Mobile Keyboard
  86. EAP4EMSIG -- Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
  87. Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies
  88. Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
  89. Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation
  90. Multi-Reward as Condition for Instruction-based Image Editing
  91. Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
  92. Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks
  93. Towards Optimizing SQL Generation via LLM Routing
  94. A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
  95. Theoretically informed selection of latent activation in autoencoder based recommender systems
  96. Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education
  97. A Capabilities Approach to Studying Bias and Harm in Language Technologies
  98. Fairness with Exponential Weights
  99. A Random-Key Optimizer for Combinatorial Optimization
  100. Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
All 253
  1. Enhancing Security Control Production With Generative AI
  2. Generating Synthetic Electronic Health Record Data: a Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software
  3. Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
  4. The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
  5. Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
  6. Increasing the scalability of graph convolution for FPGA-implemented event-based vision
  7. Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market
  8. Graph neural networks and non-commuting operators
  9. Object Recognition in Human Computer Interaction:- A Comparative Analysis
  10. LSHBloom: Memory-efficient, Extreme-scale Document Deduplication
  11. Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification
  12. Learning Generalizable Policy for Obstacle-Aware Autonomous Drone Racing
  13. ION-C: Integration of Overlapping Networks via Constraints
  14. Multimodal Structure-Aware Quantum Data Processing
  15. dsld: A Socially Relevant Tool for Teaching Statistics
  16. WiFlexFormer: Efficient WiFi-Based Person-Centric Sensing
  17. Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
  18. Debiasing Synthetic Data Generated by Deep Generative Models
  19. Machine Learning Mutation-Acyclicity of Quivers
  20. Scalable DP-SGD: Shuffling vs. Poisson Subsampling
  21. Online Budgeted Matching with General Bids
  22. Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
  23. Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks
  24. Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection
  25. Crystal: Illuminating LLM Abilities on Language and Code
  26. MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study
  27. Urban Flood Mapping Using Satellite Synthetic Aperture Radar Data: A Review of Characteristics, Approaches and Datasets
  28. UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
  29. BAPULM: Binding Affinity Prediction using Language Models
  30. Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
  31. Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation
  32. Weighted Sobolev Approximation Rates for Neural Networks on Unbounded Domains
  33. Summarization of Opinionated Political Documents with Varied Perspectives
  34. A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement
  35. Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation
  36. M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
  37. Pseudo-labeling with Keyword Refining for Few-Supervised Video Captioning
  38. Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
  39. Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
  40. Stepping Forward on the Last Mile
  41. Beemo: Benchmark of Expert-edited Machine-generated Outputs
  42. Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages
  43. Multi-Scale and Multimodal Species Distribution Modeling
  44. kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
  45. Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search
  46. Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability
  47. Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
  48. ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
  49. Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
  50. Choosing the right basis for interpretability: Psychophysical comparison between neuron-based and dictionary-based representations
  51. Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
  52. HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
  53. WorryWords: Norms of Anxiety Association for over 44k English Words
  54. Bayesian algorithmic perfumery: A Hierarchical Relevance Vector Machine for the Estimation of Personalized Fragrance Preferences based on Three Sensory Layers and Jungian Personality Archetypes
  55. What Really is Commonsense Knowledge?
  56. How Does A Text Preprocessing Pipeline Affect Ontology Matching?
  57. Face Reconstruction from Face Embeddings using Adapter to a Face Foundation Model
  58. Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
  59. Long-Form Text-to-Music Generation with Adaptive Prompts: A Case Study in Tabletop Role-Playing Games Soundtracks
  60. Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
  61. GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
  62. Interactions Across Blocks in Post-Training Quantization of Large Language Models
  63. Improved Regret of Linear Ensemble Sampling
  64. Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning
  65. Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
  66. Self-supervised Representation Learning for Cell Event Recognition through Time Arrow Prediction
  67. Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
  68. RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
  69. A Causal Framework for Precision Rehabilitation
  70. Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD System
  71. Retentive Neural Quantum States: Efficient Ans"atze for Ab Initio Quantum Chemistry
  72. Computational Analysis of Gender Depiction in the Comedias of Calder'on de la Barca
  73. Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning
  74. Disability data futures: Achievable imaginaries for AI and disability data justice
  75. Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
  76. MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
  77. Large Generative Model-assisted Talking-face Semantic Communication System
  78. Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward
  79. FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning
  80. UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
  81. Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
  82. A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing
  83. Reconsidering the Performance of GAE in Link Prediction
  84. Flexible task abstractions emerge in linear networks with fast and bounded units
  85. An Edge Computing-Based Solution for Real-Time Leaf Disease Classification using Thermal Imaging
  86. An Enhancement of Haar Cascade Algorithm Applied to Face Recognition for Gate Pass Security
  87. Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
  88. SA3DIP: Segment Any 3D Instance with Potential 3D Priors
  89. The natural stability of autonomous morphology
  90. GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting
  91. A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients
  92. On the Decomposition of Differential Game
  93. Overcoming label shift with target-aware federated learning
  94. Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
  95. Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
  96. Multilingual hierarchical classification of job advertisements for job vacancy statistics
  97. No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
  98. A Bayesian Approach to Data Point Selection
  99. Number Cookbook: Number Understanding of Language Models and How to Improve It
  100. Variational Inference on the Boolean Hypercube with the Quantum Entropy
  101. Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
  102. Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
  103. Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
  104. Optimal Defenses Against Gradient Reconstruction Attacks
  105. Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Vision
  106. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
  107. Automating Exploratory Proteomics Research via Language Models
  108. Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
  109. Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
  110. Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness
  111. NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
  112. Relation Learning and Aggregate-attention for Multi-person Motion Prediction
  113. Efficient Fourier Filtering Network with Contrastive Learning for AAV-based Unaligned Bimodal Salient Object Detection
  114. PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks
  115. PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray
  116. Estimation of Psychosocial Work Environment Exposures Through Video Object Detection. Proof of Concept Using CCTV Footage
  117. These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion
  118. Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures
  119. Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
  120. AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching
  121. 3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement
  122. Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
  123. OccLoff: Learning Optimized Feature Fusion for 3D Occupancy Prediction
  124. AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation
  125. Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
  126. Beyond Model Adaptation at Test Time: A Survey
  127. Multi-model Ensemble Conformal Prediction in Dynamic Environments
  128. QUILL: Quotation Generation Enhancement of Large Language Models
  129. Energy-based physics-informed neural network for frictionless contact problems under large deformation
  130. Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
  131. Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
  132. Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
  133. Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review
  134. Policy Aggregation
  135. Deploying Multi-task Online Server with Large Language Model
  136. Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
  137. Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions
  138. Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
  139. RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
  140. SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
  141. Fully Hyperbolic Rotation for Knowledge Graph Embedding
  142. A Subsampling Based Neural Network for Spatial Data
  143. Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
  144. ADMIRE: a locally adaptive single-image, non-uniformity correction and denoising algorithm: application to uncooled IR camera
  145. Designing a Linearized Potential Function in Neural Network Optimization Using Csisz'ar Type of Tsallis Entropy
  146. LCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior
  147. Open-Source High-Speed Flight Surrogate Modeling Framework
  148. Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
  149. From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond
  150. An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting
  151. Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions
  152. Learning Constant-Depth Circuits in Malicious Noise Models
  153. The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge