mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 19 Nov 2024

259 papers

  1. Input-Adaptive Generative Dynamics in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  2. GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  3. StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language ModelLLM reasoning → Spatial and embodied reasoning +1
  4. Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold InvestmentLLM reasoning → Reasoning for agents, planning and code
  5. Human-In-the-Loop Software Development AgentsLLM agents and tool use → Software engineering coding agents
  6. VILA-M3: Enhancing Vision-Language Models with Medical Expert KnowledgeMultimodal LLMs / vision-language models → Medical vision-language models
  7. Trojan Cleansing with Neural CollapseLLM safety and security → Backdoor and data poisoning attacks
  8. ProSec: Fortifying Code LLMs with Proactive Security AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  9. From Text to Pose to Image: Improving Diffusion Model Control and QualityDiffusion models → Image generation, text-to-image and editing
  10. CDI: Copyrighted Data Identification in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  11. Reward Modeling with Ordinal Feedback: Wisdom of the CrowdLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  12. Towards motion from video diffusion modelsDiffusion models → Video generation
  13. Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite DistractionLLM agents and tool use → General LLM agent frameworks and benchmarks
  14. What Makes a Good Dataset for Knowledge Distillation?Knowledge distillation → General knowledge distillation methods
  15. Stylecodes: Encoding Stylistic Information For Image GenerationDiffusion models → Image generation, text-to-image and editing
  16. Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  17. Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
  18. From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
  20. Lucia: A Temporal Computing Platform for Contextual IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  21. CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMsLLM reasoning → Hallucination detection and mitigation +1
  22. When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated ExplanationsLLM safety and security → Backdoor and data poisoning attacks
  23. Neurosymbolic Graph Enrichment for Grounded World ModelsWorld models → World models for language agents
  24. PoM: Efficient Image and Video Generation with the Polynomial MixerDiffusion models → Video generation
  25. Instant Policy: In-Context Imitation Learning via Graph DiffusionOffline RL and imitation learning from data → Robot manipulation imitation learning
  26. STREAM: A Universal State-Space Model for Sparse Geometric DataState-space sequence models (S4, Mamba) → Vision Mamba backbones
  27. Provable unlearning in topic modeling and downstream tasksLLM safety and security → Machine unlearning
  28. Procedural Knowledge in Pretraining Drives Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  29. Unlocking State-Tracking in Linear RNNs Through Negative EigenvaluesState-space sequence models (S4, Mamba) → Core SSM architectures for language
  30. Data Pruning in Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  31. Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic CorpusLLM reasoning → Reasoning benchmarks and evaluation
  32. Frequency-Aware Guidance for Blind Image Restoration via Diffusion ModelsDiffusion models → Inverse problems and image restoration
  33. Combinational Backdoor Attack against Customized Text-to-Image ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  34. Ultra-Sparse Memory NetworkMixture-of-experts → Expert routing strategies
  35. Variable-Frequency Imitation Learning for Variable-Speed MotionOffline RL and imitation learning from data → Imitation learning methods
  36. Diffusion Product QuantizationDiffusion models → Diffusion foundations and sampling
  37. Emergence of Implicit World Models from Mortal AgentsWorld models → World models for language agents
  38. SSEditor: Controllable Mask-to-Scene Generation with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  39. CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  40. GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented GraspingLLM reasoning → Spatial and embodied reasoning
  41. HouseTune: Two-Stage Floorplan Generation with LLM AssistanceLLM reasoning → Spatial and embodied reasoning +1
  42. KDC-MAE: Knowledge Distilled Contrastive Mask Auto-EncoderKnowledge distillation → General knowledge distillation methods
  43. Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  44. Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node ClassificationState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  45. CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image SynthesisDiffusion models → Medical imaging and segmentation
  46. Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional ChangeDiffusion models → Diffusion foundations and sampling
  47. Enhancing Low Dose Computed Tomography Images Using Consistency Training TechniquesDiffusion models → Medical imaging and segmentation
  48. SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control TasksDeep reinforcement learning methods → Interpretable and logic-guided RL
  49. Diffusion Transformers as Open-World Spatiotemporal Foundation ModelsDiffusion models → 3D, point cloud and scene generation
  50. Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  51. LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
  52. Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
  53. The Moral Mind(s) of Large Language Models
  54. Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
  55. Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study
  56. A Survey on E-Commerce Learning to Rank
  57. Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
  58. A Context-Based Numerical Format Prediction for a Text-To-Speech System
  59. Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction
  60. Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
  61. Deep Learning-Based Classification of Hyperkinetic Movement Disorders in Children
  62. K-means Derived Unsupervised Feature Selection using Improved ADMM
  63. Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
  64. Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report)
  65. Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting
  66. Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector
  67. Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics
  68. Categorical Data Clustering via Value Order Estimated Distance Metric Learning
  69. Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
  70. Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization
  71. Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
  72. Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat
  73. Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval
  74. Why you don't overfit, and don't need Bayes if you only train for one epoch
  75. Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
  76. VioPose: Violin Performance 4D Pose Estimation by Hierarchical Audiovisual Inference
  77. RadPhi-3: Small Language Models for Radiology
  78. Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
  79. LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits
  80. Loss-to-Loss Prediction: Scaling Laws for All Datasets
  81. A Comparative Study of Text Retrieval Models on DaReCzech
  82. Robust multi-coil MRI reconstruction via self-supervised denoising
  83. MLDGG: Meta-Learning for Domain Generalization on Graphs
  84. Signformer is all you need: Towards Edge AI for Sign Language
  85. Problem-dependent convergence bounds for randomized linear gradient compression
  86. Tree Species Classification using Machine Learning and 3D Tomographic SAR -- a case study in Northern Europe
  87. Selective Attention: Enhancing Transformer through Principled Context Control
  88. NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models
  89. Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
  90. Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
  91. The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
  92. Puppet-CNN: Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks
  93. Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification
  94. Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models
  95. AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software
  96. The Game-Theoretic Symbiosis of Trust and AI in Networked Systems
  97. A new Input Convex Neural Network with application to options pricing
  98. Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification
  99. mDAE : modified Denoising AutoEncoder for missing data imputation
  100. Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations
All 259
  1. SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus
  2. Data-to-Model Distillation: Data-Efficient Learning Framework
  3. Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
  4. HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
  5. Human-Robot Dialogue Annotation for Multi-Modal Common Ground
  6. Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
  7. Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation
  8. Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
  9. Conversational Medical AI: Ready for Practice
  10. CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
  11. Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting
  12. Efficient Scene Modeling via Structure-Aware and Region-Prioritized 3D Gaussians
  13. Off-policy estimation with adaptively collected data: the power of online learning
  14. Joint Vision-Language Social Bias Removal for CLIP
  15. FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
  16. Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning
  17. Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
  18. ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
  19. Benchmarking Positional Encodings for GNNs and Graph Transformers
  20. Testing classical properties from quantum data
  21. Information Theory of Meaningful Communication
  22. LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport
  23. The Bounds of Algorithmic Collusion; Q-learning, Gradient Learning, and the Folk Theorem
  24. Heuristic-Free Multi-Teacher Learning
  25. Scaling laws for nonlinear dynamical models of articulatory control
  26. Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation
  27. Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs
  28. Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
  29. Strengthening False Information Propagation Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques in comparison to BERT
  30. Learning multivariate Gaussians with imperfect advice
  31. Attribute Inference Attacks for Federated Regression Tasks
  32. IMUVIE: Pickup Timeline Action Localization via Motion Movies
  33. Enhanced Sign Language Translation between American Sign Language (ASL) and Indian Sign Language (ISL) Using LLMs
  34. AI Guided Early Screening of Cervical Cancer
  35. Deep Learning-Driven Heat Map Analysis for Evaluating thickness of Wounded Skin Layers
  36. IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose
  37. Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis
  38. Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
  39. Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression
  40. Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness
  41. CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
  42. DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
  43. Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
  44. PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation
  45. M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction
  46. Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
  47. Exploring the Manifold of Neural Networks Using Diffusion Geometry
  48. Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images
  49. Leveraging Virtual Reality and AI Tutoring for Language Learning: A Case Study of a Virtual Campus Environment with OpenAI GPT Integration with Unity 3D
  50. Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
  51. Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data
  52. CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimation
  53. SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
  54. Hypergraph p-Laplacian equations for data interpolation and semi-supervised learning
  55. GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking
  56. AdaCM2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction
  57. Whisper Finetuning on Nepali Language
  58. Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment
  59. Large Language Models for Combinatorial Optimization of Design Structure Matrix
  60. A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information
  61. Stream-Based Active Learning for Process Monitoring
  62. Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
  63. Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
  64. UMGAD: Unsupervised Multiplex Graph Anomaly Detection
  65. Multivariate and Online Transfer Learning with Uncertainty Quantification
  66. S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation
  67. Predicting Customer Satisfaction by Replicating the Survey Response Distribution
  68. Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution
  69. Rethinking Top Probability from Multi-view for Distracted Driver Behaviour Localization
  70. VMGNet: A Low Computational Complexity Robotic Grasping Network Based on VMamba with Multi-Scale Feature Fusion
  71. The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?
  72. Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
  73. 3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality
  74. PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
  75. Transformer Neural Processes - Kernel Regression
  76. Eradicating Social Biases in Sentiment Analysis using Semantic Blinding and Semantic Propagation Graph Neural Networks
  77. Regular-pattern-sensitive CRFs for Distant Label Interactions
  78. Analysing Explanation-Related Interactions in Collaborative Perception-Cognition-Communication-Action
  79. Comparing Prior and Learned Time Representations in Transformer Models of Timeseries
  80. NMT-Obfuscator Attack: Ignore a sentence in translation with only one word
  81. SCIGS: 3D Gaussians Splatting from a Snapshot Compressive Image
  82. AI Flow at the Network Edge
  83. Exploring Iterative Controllable Summarization with Large Language Models
  84. Variation between Credible and Non-Credible News Across Topics
  85. GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving
  86. Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
  87. Neon: News Entity-Interaction Extraction for Enhanced Question Answering
  88. Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need
  89. Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
  90. Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures
  91. STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk
  92. Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
  93. CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
  94. Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph
  95. Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning
  96. Evaluating the Prompt Steerability of Large Language Models
  97. Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering
  98. Automatic staff reconstruction within SIMSSA proect
  99. Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
  100. RedPajama: an Open Dataset for Training Large Language Models
  101. Breathless: An 8-hour Performance Contrasting Human and Robot Expressiveness
  102. A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems
  103. DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding
  104. Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
  105. DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation
  106. Target Height Estimation Using a Single Acoustic Camera for Compensation in 2D Seabed Mosaicking
  107. Learning from Label Proportions and Covariate-shifted Instances
  108. Adversarial-Robustness-Guided Graph Pruning
  109. Graph as a feature: improving node classification with non-neural graph-aware logistic regression
  110. Attributed Graph Clustering in Collaborative Settings
  111. Enhancing Blind Source Separation with Dissociative Principal Component Analysis
  112. CLIP Unreasonable Potential in Single-Shot Face Recognition
  113. C2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
  114. DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes
  115. SNN-Based Online Learning of Concepts and Action Laws in an Open World
  116. Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production
  117. Physics-Guided Detector for SAR Airplanes
  118. Generative Timelines for Instructed Visual Assembly
  119. Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images
  120. libcll: an Extendable Python Toolkit for Complementary-Label Learning
  121. Building Trust: Foundations of Security, Safety and Transparency in AI
  122. A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
  123. Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset
  124. On the Accuracy and Precision of Moving Averages to Estimate Wi-Fi Link Quality
  125. Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
  126. Prototype Optimization with Neural ODE for Few-Shot Learning
  127. Restructuring Tractable Probabilistic Circuits
  128. Predicting User Intents and Musical Attributes from Music Discovery Conversations
  129. ADV2E: Bridging the Gap Between Analogue Circuit and Discrete Frames in the Video-to-Events Simulator
  130. Neuro-3D: Towards 3D Visual Decoding from EEG Signals
  131. Efficient Training in Multi-Agent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem
  132. Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism
  133. Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languages
  134. BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
  135. DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning
  136. Invariant Shape Representation Learning For Image Classification
  137. Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework
  138. MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion
  139. A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphs
  140. A Survey of Medical Vision-and-Language Applications and Their Techniques
  141. Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
  142. Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
  143. Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of Beamlines
  144. Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
  145. Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation
  146. AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression
  147. Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
  148. Sketch-guided Cage-based 3D Gaussian Splatting Deformation
  149. Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes
  150. A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation
  151. HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives
  152. Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds
  153. Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification
  154. HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
  155. JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements
  156. Self-supervised denoising of visual field data improves detection of glaucoma progression
  157. A Computational Method for Measuring "Open Codes" in Qualitative Analysis
  158. Visualizing Loss Functions as Topological Landscape Profiles
  159. Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects