mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 25 Jul 2024

257 papers

  1. Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI TrustLLM agents and tool use → Social simulation and multi-agent debate
  2. An Efficient Inference Framework for Early-exit Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
  3. Learn while Unlearn: An Iterative Unlearning Framework for Generative Language ModelsLLM safety and security → Machine unlearning
  4. PersonaGym: Evaluating Persona Agents and LLMsLLM agents and tool use → Social simulation and multi-agent debate
  5. Adversarially Robust Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  6. UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  7. Adaptive Terminal Sliding Mode Control Using Deep Reinforcement Learning for Zero-Force Control of Exoskeleton Robot SystemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  8. Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTKnowledge distillation → Detection and dense prediction distillation
  9. Self-Training with Direct Preference Optimization Improves Chain-of-Thought ReasoningLLM reasoning → Mathematical reasoning +2
  10. RegionDrag: Fast Region-Based Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  11. LION: Linear Group RNN for 3D Object Detection in Point CloudsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  12. Recursive Introspection: Teaching Language Model Agents How to Self-ImproveLLM reasoning → Reasoning for agents, planning and code +2
  13. Scaling Trends in Language Model RobustnessLLM safety and security → Jailbreaking
  14. Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
  15. Maximum Entropy On-Policy Actor-Critic via Entropy Advantage EstimationDeep reinforcement learning methods → RL theory and sample complexity
  16. Dallah: A Dialect-Aware Multimodal Large Language Model for ArabicMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  17. Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray imagesDiffusion models → Medical imaging and segmentation
  18. Efficient Inference of Vision Instruction-Following Models with Elastic CacheMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  19. MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library TuningDeep reinforcement learning methods → RL for energy, networks and operations
  20. Principal-Agent Reinforcement Learning: Orchestrating AI Agents with ContractsDeep reinforcement learning methods → RL theory and sample complexity
  21. C2P: Featuring Large Language Models with Causal ReasoningLLM reasoning → Causal reasoning in LLMs
  22. ComPeer: A Generative Conversational Agent for Proactive Peer SupportLLM agents and tool use → Social simulation and multi-agent debate
  23. The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QARetrieval-augmented generation → Medical and biomedical RAG
  24. How to Train the Teacher Model for Effective Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  25. Peak-Controlled Logits Poisoning Attack in Federated DistillationKnowledge distillation → Federated, robust and private distillation
  26. RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  27. Self-Supervision Improves Diffusion Models for Tabular Data ImputationDiffusion models → Flow matching, time series and science
  28. Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache ConsumptionEfficient LLM inference and serving → KV cache optimization
  29. Lightweight Language-driven Grasp Detection using Conditional Consistency ModelDiffusion models → Diffusion and flow policies for robotics
  30. Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning TasksLLM reasoning → Mathematical reasoning
  31. The Dark Side of Function Calling: Pathways to Jailbreaking Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance +1
  32. Vision-Language Models Align with Human Neural Representations in Concept ProcessingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  33. ReCorD: Reasoning and Correcting Diffusion for HOI GenerationLLM reasoning → Multimodal reasoning +1
  34. Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective ApproachKnowledge distillation → Detection and dense prediction distillation
  35. Amortized Posterior Sampling with Diffusion Prior DistillationDiffusion models → Inverse problems and image restoration
  36. Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual DiffusionDiffusion models → Medical imaging and segmentation
  37. Modeling Inverse Ellipsometry Problem via Flow Matching with a Large-Scale DatasetDiffusion models → Flow matching, time series and science
  38. FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid EditingDiffusion models → Image generation, text-to-image and editing
  39. A Unified Understanding of Adversarial Vulnerability Regarding Unimodal Models and Vision-Language Pre-training ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  40. Untrained neural networks can demonstrate memorization-independent abstract reasoningLLM reasoning → Multimodal reasoning
  41. Very Large-Scale Multi-Agent Simulation in AgentScopeLLM agents and tool use → General LLM agent frameworks and benchmarks
  42. How Lightweight Can A Vision Transformer BeMixture-of-experts → Vision mixture-of-experts
  43. KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal ModelsLLM reasoning → Multimodal reasoning +1
  44. Cost-effective Instruction Learning for Pathology Vision and Language AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
  45. Revisiting Machine Unlearning with Dimensional AlignmentLLM safety and security → Machine unlearning
  46. ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and RefinementState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  47. Enhancing Agent Learning through World Dynamics ModelingLLM agents and tool use → General LLM agent frameworks and benchmarks
  48. RL-augmented MPC Framework for Agile and Robust Bipedal Footstep Locomotion Planning and ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
  49. Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics
  50. Enhancing Ecological Monitoring with Multi-Objective Optimization: A Novel Dataset and Methodology for Segmentation Algorithms
  51. Automated Romberg Test: Leveraging a CNN and Centre of Mass Analysis for Sensory Ataxia Diagnosis
  52. A Cost-Effective Eye-Tracker for Early Detection of Mild Cognitive Impairment
  53. AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
  54. MindSpeech: Continuous Imagined Speech Decoding using High-Density fNIRS and Prompt Tuning for Advanced Human-AI Interaction
  55. MindGPT: Advancing Human-AI Interaction with Non-Invasive fNIRS-Based Imagined Speech Decoding
  56. GesturePrint: Enabling User Identification for mmWave-based Gesture Recognition Systems
  57. IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
  58. Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
  59. Ontology of Belief Diversity: A Community-Based Epistemological Approach
  60. Closing the gap between open-source and commercial large language models for medical evidence summarization
  61. Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT
  62. Multi-group Uncertainty Quantification for Long-form Text Generation
  63. Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
  64. Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
  65. Learning Physics-Consistent Material Behavior from Dynamic Displacements
  66. Towards Localized Fine-Grained Control for Facial Expression Generation
  67. Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications
  68. Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints
  69. Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
  70. Diffusion-based subsurface CO2 multiphysics monitoring and forecasting
  71. Model-driven Heart Rate Estimation and Heart Murmur Detection based on Phonocardiogram
  72. HDL-GPT: High-Quality HDL is All You Need
  73. A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
  74. Self-Directed Synthetic Dialogues and Revisions Technical Report
  75. Know Your Limits: A Survey of Abstention in Large Language Models
  76. Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods
  77. Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture
  78. RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
  79. Gaussian Process Kolmogorov-Arnold Networks
  80. A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing
  81. GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model
  82. SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment
  83. Mathematical theory of deep learning
  84. Neural Surface Detection for Unsigned Distance Fields
  85. Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives
  86. Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
  87. Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
  88. Robust Claim Verification Through Fact Detection
  89. FADAS: Towards Federated Adaptive Asynchronous Optimization
  90. Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
  91. Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future
  92. Privacy-Preserving Hierarchical Model-Distributed Inference
  93. Introducing δ-XAI: a novel sensitivity-based method for local AI explanations
  94. SMiCRM: A Benchmark Dataset of Mechanistic Molecular Images
  95. Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents
  96. CavDetect: A DBSCAN Algorithm based Novel Cavity Detection Model on Protein Structure
  97. Affectively Framework: Towards Human-like Affect-Based Agents
  98. Majorizing Stress Formula Two
  99. Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements
  100. MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos
All 257
  1. Estimating the number of clusters of a Block Markov Chain
  2. Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public data
  3. Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis
  4. Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
  5. VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
  6. RefMask3D: Language-Guided Transformer for 3D Referring Segmentation
  7. BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
  8. LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
  9. Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets
  10. CodedVO: Coded Visual Odometry
  11. Automated Ensemble Multimodal Machine Learning for Healthcare
  12. Geometry Fidelity for Spherical Images
  13. Sparse Incremental Aggregation in Multi-Hop Federated Learning
  14. AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
  15. Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning
  16. PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
  17. Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
  18. RIDA: A Robust Attack Framework on Incomplete Graphs
  19. Statistical optimal transport
  20. Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
  21. StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests
  22. The FIGNEWS Shared Task on News Media Narratives
  23. Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
  24. IRIS: Wireless Ring for Vision-based Smart Home Interaction
  25. XS-VID: A Large-Scale Benchmark for Small Object Detection and Tracking in Videos
  26. mathbbX-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
  27. Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking
  28. Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification
  29. Unsupervised Training of Neural Cellular Automata on Edge Devices
  30. Keypoint Promptable Re-Identification
  31. Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
  32. Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping
  33. Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
  34. DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability
  35. SSTD: Stripe-Like Space Target Detection Using Single-Point Weak Supervision
  36. Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review
  37. PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization
  38. CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
  39. HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video data
  40. Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
  41. Difficulty Estimation and Simplification of French Text Using LLMs
  42. Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis
  43. I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognition
  44. Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems
  45. LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
  46. GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution
  47. YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems
  48. Lifelong Graph Learning for Graph Summarization
  49. TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework
  50. AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
  51. ECG Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Model
  52. Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
  53. Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
  54. Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis
  55. A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks
  56. HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
  57. GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy
  58. Network Inversion of Convolutional Neural Nets
  59. Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework
  60. Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
  61. iNNspector: Visual, Interactive Deep Model Debugging
  62. On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures
  63. Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography
  64. Amortized Active Learning for Nonparametric Functions
  65. Personalized and Context-aware Route Planning for Edge-assisted Vehicles
  66. What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models
  67. The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
  68. Neural Networks for Generating Better Local Optima in Topology Optimization
  69. SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images
  70. Scaling Training Data with Lossy Image Compression
  71. BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
  72. Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness
  73. Real Time American Sign Language Detection Using Yolo-v9
  74. Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality
  75. Positive Text Reframing under Multi-strategy Optimization
  76. Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
  77. Segmentation by registration-enabled SAM prompt engineering using five reference images
  78. Comparison of different Artificial Neural Networks for Bitcoin price forecasting
  79. GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
  80. Assessing invariance to affine transformations in image quality metrics
  81. Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
  82. Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis
  83. StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory
  84. Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
  85. The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer
  86. SR-CurvANN: Advancing 3D Surface Reconstruction through Curvature-Aware Neural Networks
  87. An Iterative Approach to Topic Modelling
  88. Unraveling the Never-Ending Story of Lifecycles and Vitalizing Processes
  89. DAM: Towards A Foundation Model for Time Series Forecasting
  90. HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline
  91. Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
  92. A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations
  93. Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
  94. Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?
  95. Financial Statement Analysis with Large Language Models
  96. factgenie: A Framework for Span-based Evaluation of Generated Texts
  97. Exploring Description-Augmented Dataless Intent Classification
  98. Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
  99. Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care
  100. Shapley Value-based Contrastive Alignment for Multimodal Information Extraction
  101. Scaling A Simple Approach to Zero-Shot Speech Recognition
  102. Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
  103. Innovative Speech-Based Deep Learning Approaches for Parkinson's Disease Classification: A Systematic Review
  104. DragText: Rethinking Text Embedding in Point-based Image Editing
  105. On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
  106. Long-term Fairness in Ride-Hailing Platform
  107. UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
  108. IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations
  109. Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks
  110. Image Segmentation via Divisive Normalization: dealing with environmental diversity
  111. Unified Lexical Representation for Interpretable Visual-Language Alignment
  112. Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
  113. Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality
  114. Demystifying Verbatim Memorization in Large Language Models
  115. NC-NCD: Novel Class Discovery for Node Classification
  116. Nested replicator dynamics, nested logit choice, and similarity-based learning
  117. Enhancing Model Performance: Another Approach to Vision-Language Instruction Tuning
  118. Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
  119. EEG-SSM: Leveraging State-Space Model for Dementia Detection
  120. Enhancing Diversity in Multi-objective Feature Selection
  121. Harnessing Temporal Causality for Advanced Temporal Action Detection
  122. Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation
  123. HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
  124. Topology-Preserving Downsampling of Binary Images
  125. Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1
  126. HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging
  127. DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
  128. Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
  129. ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation
  130. Banyan: Improved Representation Learning with Explicit Structure
  131. BotEval: Facilitating Interactive Human Evaluation
  132. Online Learning for Autonomous Management of Intent-based 6G Networks
  133. Mpox Detection Advanced: Rapid Epidemic Response Through Synthetic Data
  134. TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Users
  135. CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions
  136. Enhancing Eye Disease Diagnosis with Deep Learning and Synthetic Data Augmentation
  137. DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
  138. Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy
  139. Balancing Complementarity and Consistency via Delayed Activation in Incomplete Multi-view Clustering
  140. Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping
  141. Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework
  142. Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?
  143. Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
  144. Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
  145. Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing
  146. A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
  147. Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment
  148. Improving Online Algorithms via ML Predictions
  149. Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
  150. Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
  151. Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
  152. Doubly Robust Conditional Independence Testing with Generative Neural Networks
  153. SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
  154. Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
  155. A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization
  156. Transformers on Markov Data: Constant Depth Suffices
  157. S2-Attention: Hardware-Aware Context Sharding Among Attention Heads