mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 1 Feb 2024

276 papers

  1. BlackMamba: Mixture of Experts for State-Space ModelsMixture-of-experts → MoE large language models +1
  2. HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QARetrieval-augmented generation → RAG robustness and adaptive retrieval
  3. Expert Proximity as Surrogate Rewards for Single Demonstration Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  4. Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic DataDiffusion models → Medical imaging and segmentation
  5. Plan-Grounded Large Language Models for Dual Goal Conversational SettingsLLM safety and security → Safety alignment, refusal and guardrails
  6. Executable Code Actions Elicit Better LLM AgentsLLM agents and tool use → Software engineering coding agents
  7. Response Theory via Generative Score ModelingDiffusion models → Diffusion foundations and sampling
  8. HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
  9. AI-generated faces influence gender stereotypes and racial homogenizationDiffusion models → Image generation, text-to-image and editing
  10. Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  11. Towards Efficient Exact Optimization of Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  12. Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of AdaptersMixture-of-experts → Multimodal MoE models
  13. SLIM: Skill Learning with Multiple CriticsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  14. Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous EnvironmentsDeep reinforcement learning methods → Safe and constrained RL
  15. An Analysis of the Variance of Diffusion-based Speech EnhancementDiffusion models → Audio, speech and music
  16. Augmenting Offline Reinforcement Learning with State-only InteractionsOffline RL and imitation learning from data → Offline RL algorithms
  17. Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  18. Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State SpacesState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  19. Dense Reward for Free in Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  20. Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical SystemsDeep reinforcement learning methods → RL theory and sample complexity
  21. Fast Exact Unlearning for In-Context Learning Data for LLMsLLM safety and security → Machine unlearning
  22. Health-LLM: Personalized Retrieval-Augmented Disease Prediction SystemRetrieval-augmented generation → Medical and biomedical RAG
  23. Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic RefinementLLM reasoning → Reasoning benchmarks and evaluation
  24. BATON: Aligning Text-to-Audio Model with Human Preference FeedbackLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  25. Transforming and Combining Rewards for Aligning Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  26. Neural Policy Style TransferDeep reinforcement learning methods → Deep RL algorithms and representations
  27. Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketchingDeep reinforcement learning methods → Deep RL algorithms and representations
  28. Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  29. Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingLLM reasoning → Reinforcement learning for reasoning +1
  30. Vision-LLMs Can Fool Themselves with Self-Generated Typographic AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  31. Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And SituationsLLM reasoning → Reasoning benchmarks and evaluation
  32. Diffusion-based Light Field SynthesisDiffusion models → 3D, point cloud and scene generation
  33. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning ChainsLLM reasoning → Prompting and chain-of-thought reasoning
  34. Masked Conditional Diffusion Model for Enhancing Deepfake DetectionDiffusion models → Image generation, text-to-image and editing
  35. Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable EnvironmentsOffline RL and imitation learning from data → Safe offline RL
  36. EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
  37. RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure PathwayDeep reinforcement learning methods → RL for robot navigation and UAV control
  38. Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
  39. Merging Multi-Task Models via Weight-Ensembling Mixture of ExpertsMixture-of-experts → Mixture of LoRA experts
  40. Investigating Bias Representations in Llama 2 Chat via Activation SteeringLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
  41. Safety of Multimodal Large Language Models on Images and TextsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  42. Adaptive Primal-Dual Method for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  43. Machine Unlearning for Image-to-Image Generative ModelsLLM safety and security → Vision-language and text-to-image safety
  44. ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient UpdateOffline RL and imitation learning from data → Offline RL algorithms +1
  45. Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning ApproachDeep reinforcement learning methods → RL theory and sample complexity
  46. Computational Experiments Meet Large Language Model Based Agents: A Survey and PerspectiveLLM agents and tool use → Social simulation and multi-agent debate
  47. Vertical Symbolic Regression via Deep Policy GradientDeep reinforcement learning methods → Interpretable and logic-guided RL
  48. A Survey on Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  49. LRDif: Diffusion Models for Under-Display Camera Emotion RecognitionDiffusion models → Audio, speech and music
  50. Biometrics Employing Neural Network
  51. Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal
  52. Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation
  53. A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph
  54. Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data
  55. Workflow Optimization for Parallel Split Learning
  56. Text-Based Product Matching -- Semi-Supervised Clustering Approach
  57. PICS: Pipeline for Image Captioning and Search
  58. Deep hybrid models: infer and plan in a dynamic world
  59. Develop End-to-End Anomaly Detection System
  60. Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence
  61. Room Transfer Function Reconstruction Using Complex-valued Neural Networks and Irregularly Distributed Microphones
  62. The Information of Large Language Model Geometry
  63. Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
  64. Harm Amplification in Text-to-Image Models
  65. COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
  66. DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
  67. Hierarchical Multi-Label Classification of Online Vaccine Concerns
  68. Benchmarking Spiking Neural Network Learning Methods with Varying Locality
  69. When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
  70. Plug-and-Play image restoration with Stochastic deNOising REgularization
  71. Introduction to speech recognition
  72. On the Psychology of GPT-4: Moderately anxious, slightly masculine, honest, and humble
  73. Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool
  74. Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
  75. Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy
  76. Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation
  77. Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systems
  78. Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models
  79. Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer
  80. Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors
  81. Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials
  82. Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures
  83. Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
  84. Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model
  85. Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model
  86. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
  87. Ultra Fast Transformers on FPGAs for Particle Physics Experiments
  88. LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures
  89. Fisher information dissipation for time inhomogeneous stochastic differential equations
  90. Getting the most out of your tokenizer for pre-training and domain adaptation
  91. VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
  92. Repeat After Me: Transformers are Better than State Space Models at Copying
  93. MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures
  94. Graph-based Clustering for Detecting Semantic Change Across Time and Languages
  95. Quantifying analogy of concepts via ologs and wiring diagrams
  96. Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
  97. Multivariate Probabilistic Time Series Forecasting with Correlated Errors
  98. mmID: High-Resolution mmWave Imaging for Human Identification
  99. A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)
  100. Compressed image quality assessment using stacking
All 276
  1. YOLinO++: Single-Shot Estimation of Generic Polylines for Mapless Automated Diving
  2. Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
  3. An Information-Theoretic Approach to Analyze NLP Classification Tasks
  4. Enhanced fringe-to-phase framework using deep learning
  5. Investigating Recurrent Transformers with Dynamic Halt
  6. FuseFormer: A Transformer for Visual and Thermal Image Fusion
  7. SPARQL Generation with Entity Pre-trained GPT for KG Question Answering
  8. Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
  9. Credal Learning Theory
  10. Exploring Spatial Schema Intuitions in Large Language and Vision Models
  11. FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
  12. Geometry of Polynomial Neural Networks
  13. NCoder -- A Quantum Field Theory approach to encoding data
  14. Approximate Nearest Neighbor Search with Window Filters
  15. A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
  16. Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
  17. MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation
  18. Institutional Platform for Secure Self-Service Large Language Model Exploration
  19. Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
  20. Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning
  21. Generalizing GradCAM for Embedding Networks
  22. AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
  23. BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
  24. Graph Domain Adaptation: Challenges, Progress and Prospects
  25. We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
  26. AToM: Amortized Text-to-Mesh using 2D Diffusion
  27. Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
  28. ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
  29. Geometry Transfer for Stylizing Radiance Fields
  30. Evaluating Large Language Models for Generalization and Robustness via Data Compression
  31. Can Large Language Models Understand Context?
  32. Early Time Classification with Accumulated Accuracy Gap Control
  33. SymbolicAI: A framework for logic-based approaches combining generative models and solvers
  34. LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields
  35. Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations
  36. Score-based Causal Representation Learning: Linear and General Transformations
  37. BootsTAP: Bootstrapped Training for Tracking-Any-Point
  38. Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
  39. X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
  40. OLMo: Accelerating the Science of Language Models
  41. ALISON: Fast and Effective Stylometric Authorship Obfuscation
  42. A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks
  43. GaussianStyle: Gaussian Head Avatar via StyleGAN
  44. Resolution invariant deep operator network for PDEs with complex geometries
  45. WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework
  46. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
  47. Exploring the Dynamics between Cobot's Production Rhythm, Locus of Control and Emotional State in a Collaborative Assembly Scenario
  48. Signal Quality Auditing for Time-series Data
  49. LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
  50. ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models
  51. Human Expertise in Algorithmic Prediction
  52. Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning
  53. CroissantLLM: A Truly Bilingual French-English Language Model
  54. Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics
  55. Mesh motion in fluid-structure interaction with deep operator networks
  56. AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
  57. 360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming
  58. EuroPED-NN: Uncertainty aware surrogate model
  59. Building Expressive and Tractable Probabilistic Generative Models: A Review
  60. On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy
  61. Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data
  62. DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras
  63. FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game
  64. MobilityDL: A Review of Deep Learning From Trajectory Data
  65. Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
  66. Automatic Segmentation of the Spinal Cord Nerve Rootlets
  67. Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
  68. Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
  69. Intent Assurance using LLMs guided by Intent Drift
  70. ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
  71. Explaining Text Classifiers with Counterfactual Representations
  72. Non-Exchangeable Conformal Language Generation with Nearest Neighbors
  73. Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
  74. Vehicle Perception from Satellite
  75. In-Bed Pose Estimation: A Review
  76. PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
  77. Approximating Optimal Morphing Attacks using Template Inversion
  78. A Framework for Building Point Cloud Cleaning, Plane Detection and Semantic Segmentation
  79. Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
  80. LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
  81. Real Evaluations Tractability using Continuous Goal-Directed Actions in Smart City Applications
  82. Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID
  83. Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data
  84. Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
  85. Coherent Feed Forward Quantum Neural Network
  86. Spectrally Transformed Kernel Regression
  87. Random Forest-Based Prediction of Stroke Outcome
  88. Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View
  89. Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases
  90. CapHuman: Capture Your Moments in Parallel Universes
  91. Bayesian Causal Inference with Gaussian Process Networks
  92. Actor Identification in Discourse: A Challenge for LLMs?
  93. Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters
  94. Are Synthetic Time-series Data Really not as Good as Real Data?
  95. Dynamic Texture Transfer using PatchMatch and Transformers
  96. Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning
  97. Partial-Label Learning with a Reject Option
  98. BrainSLAM: SLAM on Neural Population Activity Data
  99. Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks
  100. CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography
  101. Secure Supervised Learning-Based Smart Home Authentication Framework
  102. A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification
  103. Quantum-Assisted Hilbert-Space Gaussian Process Regression
  104. A Manifold Representation of the Key in Vision Transformers
  105. Preconditioning for Physics-Informed Neural Networks
  106. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  107. StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering
  108. Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
  109. Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management
  110. Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
  111. EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
  112. A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
  113. Bias Mitigating Few-Shot Class-Incremental Learning
  114. SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models
  115. Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors
  116. Genetic-based Constraint Programming for Resource Constrained Job Scheduling
  117. Instruction Makes a Difference
  118. CPT: Competence-progressive Training Strategy for Few-shot Node Classification
  119. A Survey of Data-Efficient Graph Learning
  120. Improving Dialog Safety using Socially Aware Contrastive Learning
  121. A practical existence theorem for reduced order models based on convolutional autoencoders
  122. Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
  123. From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models
  124. Benchmarking Transferable Adversarial Attacks
  125. Prompt-Time Symbolic Knowledge Capture with Large Language Models
  126. Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
  127. LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
  128. InfMAE: A Foundation Model in the Infrared Modality
  129. Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
  130. Efficient Exploration for LLMs
  131. Loss Function Considering Dead Zone for Neural Networks
  132. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
  133. On the O(frac√dT1/4) Convergence Rate of RMSProp and Its Momentum Extension Measured by ℓ1 Norm
  134. Cumulative Distribution Function based General Temporal Point Processes
  135. Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals
  136. On the design-dependent suboptimality of the Lasso
  137. Image2Points:A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction
  138. Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser
  139. What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
  140. Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
  141. Legged Robot State Estimation With Invariant Extended Kalman Filter Using Neural Measurement Network
  142. Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
  143. High-Quality Medical Image Generation from Free-hand Sketch
  144. On the Challenges of Fuzzing Techniques via Large Language Models
  145. Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical Sciences
  146. IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
  147. Survey of Privacy Threats and Countermeasures in Federated Learning
  148. Recasting Regional Lighting for Shadow Removal
  149. Multi-agent Path Finding for Cooperative Autonomous Driving
  150. Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
  151. PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
  152. A Consistent Lebesgue Measure for Multi-label Learning
  153. Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
  154. SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism
  155. SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling
  156. Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
  157. Online Distribution Learning with Local Private Constraints
  158. The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks
  159. Seismic Traveltime Tomography with Label-free Learning
  160. An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction
  161. Information-Theoretic Thresholds for Planted Dense Cycles
  162. Invariance-powered Trustworthy Defense via Remove Then Restore
  163. Self-supervised learning of video representations from a child's perspective
  164. Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
  165. Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images
  166. FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation
  167. MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments
  168. PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
  169. Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
  170. A Crucial Parameter for Rank-Frequency Relation in Natural Languages
  171. Not All Learnable Distribution Classes are Privately Learnable
  172. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
  173. Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps
  174. Human-mediated Large Language Models for Robotic Intervention in Children with Autism Spectrum Disorders
  175. Multi-group Learning for Hierarchical Groups
  176. Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning