mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 29 Nov 2023

297 papers

  1. Unsupervised Keypoints from Pretrained Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  2. Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical PerspectiveOffline RL and imitation learning from data → Inverse reinforcement learning
  3. Adaptive Early Exiting for Collaborative Inference over Noisy Wireless ChannelsEfficient LLM inference and serving → Early exit and edge inference
  4. Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
  5. DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion ModelDiffusion models → Medical imaging and segmentation
  6. Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label EnsemblingDiffusion models → Diffusion foundations and sampling
  7. Understanding Your Agent: Leveraging Large Language Models for Behavior ExplanationLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D GenerationDiffusion models → 3D, point cloud and scene generation
  10. M2Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional InpaintingDiffusion models → Diffusion and flow policies for robotics
  12. Do text-free diffusion models learn discriminative visual representations?Diffusion models → Diffusion foundations and sampling
  13. Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  14. Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingWorld models → World models for autonomous driving +1
  15. AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from TextDiffusion models → 3D, point cloud and scene generation
  16. OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-AllocationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  17. CG3D: Compositional Generation for Text-to-3D via Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
  18. SODA: Bottleneck Diffusion Models for Representation LearningDiffusion models → Diffusion foundations and sampling
  19. Leveraging Graph Diffusion Models for Network Refinement TasksDiffusion models → Flow matching, time series and science
  20. Leveraging VLM-Based Pipelines to Annotate 3D ObjectsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  21. Spice-E : Structural Priors in 3D Diffusion using Cross-Entity AttentionDiffusion models → 3D, point cloud and scene generation
  22. Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPsKnowledge distillation → Graph neural network distillation
  23. Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight ErasersDiffusion models → Robustness, privacy and adversarial aspects
  24. How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)Retrieval-augmented generation → Agentic RAG, agents and memory
  25. Fair Text-to-Image Diffusion via Fair MappingDiffusion models → Image generation, text-to-image and editing
  26. Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation LearningOffline RL and imitation learning from data → Safe offline RL
  27. Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise SchedulesDiffusion models → Diffusion foundations and sampling
  28. TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  29. Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving ApplicationsWorld models → World models for autonomous driving +1
  30. Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  31. ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  32. Curved Diffusion: A Generative Model With Optical Geometry ControlDiffusion models → 3D, point cloud and scene generation
  33. MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  34. LanGWM: Language Grounded World ModelWorld models → Embodied and robot world models
  35. TaskWeaver: A Code-First Agent FrameworkLLM agents and tool use → Web, search, and research agents
  36. SmoothVideo: Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video TuningDiffusion models → Video generation
  37. HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  38. The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  39. MMA-Diffusion: MultiModal Attack on Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  40. Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language ModelLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  41. Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar ImageryDiffusion models → Inverse problems and image restoration
  42. AgentAvatar: Disentangling Planning, Driving and Rendering for Photorealistic Avatar AgentsLLM agents and tool use → Multimodal and embodied agents
  43. When StyleGAN Meets Stable Diffusion: a mathscrW_+ Adapter for Personalized Image GenerationDiffusion models → Image generation, text-to-image and editing
  44. DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  45. CLOMO: Counterfactual Logical Modification with Large Language ModelsLLM reasoning → Causal reasoning in LLMs
  46. TARGET: Template-Transferable Backdoor Attack Against Prompt-based NLP Models via GPT4LLM safety and security → Backdoor and data poisoning attacks
  47. Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationMixture-of-experts → Medical and biomedical MoE
  48. The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge DistillationKnowledge distillation → Graph neural network distillation
  49. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMsLLM agents and tool use → Social simulation and multi-agent debate
  50. Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity ReasoningLLM reasoning → Multimodal reasoning
  51. Are Large Language Models Good Fact Checkers: A Preliminary StudyLLM reasoning → Reasoning benchmarks and evaluation
  52. MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and EditingDiffusion models → Video generation
  53. Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question AnsweringLLM reasoning → Multimodal reasoning +2
  54. Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationKnowledge distillation → Distillation for medical imaging
  55. Explaining CLIP's performance disparities on data from blind/low vision usersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  56. Universal Self-Consistency for Large Language Model GenerationLLM reasoning → Test-time compute and efficient thinking
  57. Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations
  58. Most discriminative stimuli for functional cell type clustering
  59. Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
  60. MicroGlam: Microscopic Skin Image Dataset with Cosmetics
  61. Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans
  62. RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
  63. The Open Review-Based (ORB) dataset: Towards Automatic Assessment of Scientific Papers and Experiment Proposals in High-Energy Physics
  64. Dynamic interactive group decision making method on two-dimensional language
  65. Easy Data Augmentation in Sentiment Analysis of Cyberbullying
  66. Clinical Risk Prediction Using Language Models: Benefits And Considerations
  67. Adam-like Algorithm with Smooth Clipping Attains Global Minima: Analysis Based on Ergodicity of Functional SDEs
  68. How Generative-AI can be Effectively used in Government Chatbots
  69. DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text
  70. Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
  71. The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist
  72. TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
  73. Precipitation Nowcasting With Spatial And Temporal Transfer Learning Using Swin-UNETR
  74. Accelerating Neural Field Training via Soft Mining
  75. Binary perceptrons capacity via fully lifted random duality theory
  76. CRAFT: Contextual Re-Activation of Filters for face recognition Training
  77. SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters
  78. GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
  79. Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection
  80. Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach
  81. MoMask: Generative Masked Modeling of 3D Human Motions
  82. VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
  83. LEAP: LLM-Generation of Egocentric Action Programs
  84. Uncertainty Guided Global Memory Improves Multi-Hop Question Answering
  85. STF: Spatial Temporal Fusion for Trajectory Prediction
  86. DisCGen: A Framework for Discourse-Informed Counterspeech Generation
  87. Dynamical transition in controllable quantum neural networks with large depth
  88. ROBBIE: Robust Bias Evaluation of Large Generative Language Models
  89. Algorithmic Persuasion Through Simulation
  90. The Trifecta: Three simple techniques for training deeper Forward-Forward networks
  91. Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
  92. Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Regime: A Computational Approach for High-Dimensional Problems
  93. Composition of Nondeterministic and Stochastic Services for LTLf Task Specifications
  94. Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
  95. A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem
  96. Corner-to-Center Long-range Context Model for Efficient Learned Image Compression
  97. PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction
  98. Meta Co-Training: Two Views are Better than One
  99. Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing
  100. The Forecastability of Underlying Building Electricity Demand from Time Series Data
All 297
  1. LiDAR-based Outdoor Crowd Management for Smart Campus on the Edge
  2. Localization from structured distance matrices via low-rank matrix recovery
  3. Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
  4. ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction
  5. GELDA: A generative language annotation framework to reveal visual biases in datasets
  6. TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
  7. TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
  8. I Know You Did Not Write That! A Sampling Based Watermarking Method for Identifying Machine Generated Text
  9. An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
  10. Making Data Work Count
  11. Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
  12. Zero-shot Conversational Summarization Evaluations with small Large Language Models
  13. TransOpt: Transformer-based Representation Learning for Optimization Problem Classification
  14. Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
  15. Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields
  16. Filtered Semi-Markov CRF
  17. Enhancing Data-Assimilation in CFD using Graph Neural Networks
  18. A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data
  19. Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
  20. Bayesian Imaging for Radio Interferometry with Score-Based Priors
  21. Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations
  22. Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors
  23. 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
  24. Improving Interpretation Faithfulness for Vision Transformers
  25. VBench: Comprehensive Benchmark Suite for Video Generative Models
  26. AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues
  27. GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
  28. GeoDeformer: Geometric Deformable Transformer for Action Recognition
  29. Homogeneous Artificial Neural Network
  30. Self-Infilling Code Generation
  31. Description Generation using Variational Auto-Encoders for precursor microRNA
  32. Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
  33. Latent Alignment with Deep Set EEG Decoders
  34. Discovering Galaxy Features via Dataset Distillation
  35. Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data
  36. Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments
  37. Skilful Precipitation Nowcasting Using NowcastNet
  38. BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision
  39. Transformer Based Model for Predicting Rapid Impact Compaction Outcomes: A Case Study of Utapao International Airport
  40. CommunityAI: Towards Community-based Federated Learning
  41. QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks
  42. PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution
  43. Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce
  44. Rethinking Image Editing Detection in the Era of Generative AI Revolution
  45. Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation
  46. C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
  47. Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
  48. Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines
  49. Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
  50. DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
  51. Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
  52. PALM: Predicting Actions through Language Models
  53. LayerCollapse: Adaptive compression of neural networks
  54. Object-based (yet Class-agnostic) Video Domain Adaptation
  55. A Simple Recipe for Language-guided Domain Generalized Segmentation
  56. HUGS: Human Gaussian Splats
  57. Language-conditioned Detection Transformer
  58. Contextual Knowledge Pursuit for Faithful Visual Synthesis
  59. Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation
  60. A Pipeline For Discourse Circuits From CCG
  61. A Graph-Based Approach for Category-Agnostic Pose Estimation
  62. Are Ensembles Getting Better all the Time?
  63. TSDF-Sampling: Efficient Sampling for Neural Surface Field using Truncated Signed Distance Field
  64. Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification
  65. FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information
  66. SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
  67. Gaussian Shell Maps for Efficient 3D Human Generation
  68. Maximum Entropy Model Correction in Reinforcement Learning
  69. On the Adversarial Robustness of Graph Contrastive Learning Methods
  70. Towards Real-World Focus Stacking with Deep Learning
  71. Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning
  72. Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
  73. DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
  74. Anomalous Behavior Detection in Trajectory Data of Older Drivers
  75. Fixed point actions from convolutional neural networks
  76. A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
  77. Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)
  78. DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation
  79. Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography
  80. The Importance of Downstream Networks in Digital Pathology Foundation Models
  81. Towards Efficient Hyperdimensional Computing Using Photonics
  82. Learning to Simulate: Generative Metamodeling via Quantile Regression
  83. Marginal Laplacian Score
  84. U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
  85. DSS: Synthesizing long Digital Ink using Data augmentation, Style encoding and Split generation
  86. Unified Binary and Multiclass Margin-Based Classification
  87. One-Shot Open Affordance Learning with Foundation Models
  88. Supervising the Centroid Baseline for Extractive Multi-Document Summarization
  89. PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection
  90. Robustness Approaches for the Examination Timetabling Problem under Data Uncertainty
  91. Cinematic Behavior Transfer via NeRF-based Differentiable Filming
  92. BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment
  93. Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
  94. Variational Bayes image restoration with compressive autoencoders
  95. Mukhyansh: A Headline Generation Dataset for Indic Languages
  96. End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data
  97. A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
  98. GenZI: Zero-Shot 3D Human-Scene Interaction Generation
  99. SenTest: Evaluating Robustness of Sentence Encoders
  100. SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation
  101. AviationGPT: A Large Language Model for the Aviation Domain
  102. COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics
  103. Improving Minority Stress Detection with Emotions
  104. Volumetric Cloud Field Reconstruction
  105. Multiple Toddler Tracking in Indoor Videos
  106. Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes
  107. A novel feature selection method based on quantum support vector machine
  108. Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields
  109. Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis
  110. Introduction to Transformers: an NLP Perspective
  111. Q-learning Based Optimal False Data Injection Attack on Probabilistic Boolean Control Networks
  112. RQFormer: Rotated Query Transformer for End-to-End Oriented Object Detection
  113. Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
  114. Adversarial Robust Memory-Based Continual Learner
  115. Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation
  116. Continual Learning with Low Rank Adaptation
  117. Improving embedding of graphs with missing data by soft manifolds
  118. Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
  119. Robust Correlated Equilibrium: Definition and Computation
  120. SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
  121. Federated Online and Bandit Convex Optimization
  122. CLIPC8: Face liveness detection algorithm based on image-text pairs and contrastive learning
  123. LoCoMotif: Discovering time-warped motifs in time series
  124. LGFCTR: Local and Global Feature Convolutional Transformer for Image Matching
  125. Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning
  126. Efficient Computation of Sparse and Robust Maximum Association Estimators
  127. Interpreting Differentiable Latent States for Healthcare Time-series Data
  128. An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance
  129. VINNA for Neonates -- Orientation Independence through Latent Augmentations
  130. Critical Influence of Overparameterization on Sharpness-aware Minimization
  131. Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
  132. A publicly available vessel segmentation algorithm for SLO images
  133. Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
  134. Spinal Muscle Atrophy Disease Modelling as Bayesian Network
  135. Fusion of Single and Integral Multispectral Aerial Images
  136. Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
  137. StructRe: Rewriting for Structured Shape Modeling
  138. Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing
  139. PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens
  140. Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models
  141. Towards Higher Ranks via Adversarial Weight Pruning
  142. Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data
  143. Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
  144. CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation
  145. Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
  146. Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification
  147. W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
  148. Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses
  149. Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
  150. Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
  151. Continual Learning for Image Segmentation with Dynamic Query
  152. Weakly-semi-supervised object detection in remotely sensed imagery
  153. Learning-driven Zero Trust in Distributed Computing Continuum Systems
  154. Uncertainty in Additive Feature Attribution methods
  155. MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning
  156. GSE: Group-wise Sparse and Explainable Adversarial Attacks
  157. Grounding Foundation Models through Federated Transfer Learning: A General Framework
  158. SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation
  159. SpeechAct: Towards Generating Whole-body Motion from Speech
  160. GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
  161. Talking Head(?) Anime from a Single Image 4: Improved Model and Its Distillation
  162. Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction
  163. LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model
  164. VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
  165. Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention
  166. Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset
  167. Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach
  168. Unveiling the Implicit Toxicity in Large Language Models
  169. 360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries
  170. CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs
  171. Two Scalable Approaches for Burned-Area Mapping Using U-Net and Landsat Imagery
  172. Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling
  173. How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery
  174. A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images
  175. Continuous optimization by quantum adaptive distribution search
  176. Efficient Stitchable Task Adaptation
  177. Exploring Large Language Models for Human Mobility Prediction under Public Events
  178. Implicit-explicit Integrated Representations for Multi-view Video Compression
  179. Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution
  180. RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition
  181. Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline
  182. Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray
  183. NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
  184. Biomedical knowledge graph-optimized prompt generation for large language models
  185. Cascade: A Platform for Delay-Sensitive Edge Intelligence
  186. Improving Self-supervised Molecular Representation Learning using Persistent Homology
  187. Mostly Beneficial Clustering: Aggregating Data for Operational Decision Making
  188. Mirage: An RNS-Based Photonic Accelerator for DNN Training
  189. Revisiting Single Image Reflection Removal In the Wild
  190. RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine
  191. Two-Step Reinforcement Learning for Multistage Strategy Card Game
  192. Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
  193. Language Models: A Guide for the Perplexed
  194. Federated Fine-Tuning of Foundation Models via Probabilistic Masking
  195. Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
  196. Utilizing Model Residuals to Identify Rental Properties of Interest: The Price Anomaly Score (PAS) and Its Application to Real-time Data in Manhattan
  197. LEOD: Label-Efficient Object Detection for Event Cameras