mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 16 Jul 2024

343 papers

  1. BadRobot: Jailbreaking Embodied LLM Agents in the Physical WorldLLM agents and tool use → Agent threats, guardrails and governance +1
  2. Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language ModelsLLM safety and security → Jailbreaking
  3. Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  4. ReFeR: Improving Evaluation and Reasoning through Hierarchy of ModelsLLM reasoning → Multimodal reasoning +1
  5. Mindful-RAG: A Study of Points of Failure in Retrieval Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  6. A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC ControlDeep reinforcement learning methods → RL for energy, networks and operations
  7. Satisficing Exploration for Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  8. Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral AnalysisDiffusion models → Diffusion foundations and sampling
  9. Building AI Agents for Autonomous Clouds: Challenges and Design PrinciplesLLM agents and tool use → Software engineering coding agents
  10. Bellman Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  11. Interpretability in Action: Exploratory Analysis of VPT, a Minecraft AgentLLM agents and tool use → Reinforcement learning for LLM agents
  12. A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air MobilityOffline RL and imitation learning from data → Imitation and offline RL for driving
  13. Better RAG using Relevant Information GainRetrieval-augmented generation → RAG pipeline design and evaluation
  14. GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache CompressionEfficient LLM inference and serving → KV cache optimization
  15. Relational Representation DistillationKnowledge distillation → General knowledge distillation methods
  16. Unlearning Personal Data from a Single ImageLLM safety and security → Machine unlearning
  17. LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification TaskMultimodal LLMs / vision-language models → Medical vision-language models
  18. Does Refusal Training in LLMs Generalize to the Past Tense?LLM safety and security → Safety alignment, refusal and guardrails
  19. Efficient Training with Denoised Neural WeightsDiffusion models → Diffusion foundations and sampling
  20. UrbanWorld: An Urban World Model for 3D City GenerationWorld models → Video-generation world models and simulators
  21. NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information DensitiesLLM reasoning → Reasoning benchmarks and evaluation
  22. Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignDiffusion models → Flow matching, time series and science
  23. IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance FieldsLLM safety and security → Backdoor and data poisoning attacks
  24. Targeted Unlearning with Single Layer Unlearning GradientLLM safety and security → Machine unlearning
  25. Mitigating Background Shift in Class-Incremental Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
  26. Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error DetectionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  27. Preemptive Detection and Correction of Misaligned Actions in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  28. Discriminative and Consistent Representation DistillationKnowledge distillation → General knowledge distillation methods
  29. PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined SpeculationEfficient LLM inference and serving → Speculative decoding
  30. SwitchCIT: Switching for Continual Instruction TuningLLM reasoning → Multimodal reasoning
  31. Why long model-based rollouts are no reason for bad Q-value estimatesOffline RL and imitation learning from data → Offline RL algorithms +1
  32. Fine-tuning Multimodal Large Language Models for Product BundlingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  33. MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model DistillationKnowledge distillation → Detection and dense prediction distillation
  34. A Comparative Analysis of Interactive Reinforcement Learning Algorithms in Warehouse Robot Grid Based EnvironmentDeep reinforcement learning methods → RL for energy, networks and operations
  35. Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion modelDiffusion models → Medical imaging and segmentation
  36. Magnetogram-to-Magnetogram: Generative Forecasting of Solar EvolutionDiffusion models → Flow matching, time series and science
  37. A Comprehensive Evaluation of Large Language Models on Temporal Event ForecastingLLM reasoning → Knowledge- and tool-augmented reasoning +1
  38. Scaling Diffusion Transformers to 16 Billion ParametersDiffusion models → Diffusion foundations and sampling +1
  39. DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-TrainingDiffusion models → Medical imaging and segmentation
  40. QVD: Post-training Quantization for Video Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  41. UP-Diff: Latent Diffusion Model for Remote Sensing Urban PredictionDiffusion models → Inverse problems and image restoration
  42. Self-Guided Generation of Minority Samples Using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  43. Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  44. Length-Aware Motion Synthesis via Latent DiffusionDiffusion models → Video generation
  45. FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  46. Multi-Step Reasoning with Large Language Models, a SurveyLLM reasoning → Reasoning benchmarks and evaluation
  47. Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative RetrievalSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  48. How Control Information Influences Multilingual Text Image Generation and Editing?Diffusion models → Image generation, text-to-image and editing
  49. Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model EraDiffusion models → Flow matching, time series and science
  50. Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object DetectionKnowledge distillation → Detection and dense prediction distillation
  51. Learning Semantic Latent Directions for Accurate and Controllable Human Motion PredictionDiffusion models → Video generation
  52. A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
  53. DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied SystemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  54. Isometric Representation Learning for Disentangled Latent Space of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  55. CycleHOI: Improving Human-Object Interaction Detection with Cycle Consistency of Detection and GenerationDiffusion models → Video generation
  56. Model Inversion Attacks Through Target-Specific Conditional Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  57. Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  58. Animate3D: Animating Any 3D Model with Multi-view Video DiffusionDiffusion models → 3D, point cloud and scene generation
  59. DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity PreservationDiffusion models → 3D, point cloud and scene generation
  60. InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply ChainsLLM agents and tool use → Social simulation and multi-agent debate
  61. Reliable Reasoning Beyond Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
  62. LaMI-DETR: Open-Vocabulary Detection with Language Model InstructionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  63. VISA: Reasoning Video Object Segmentation via Large Language ModelsLLM reasoning → Multimodal reasoning
  64. Large Vision-Language Models as Emotion Recognizers in Context AwarenessMultimodal LLMs / vision-language models → Multimodal emotion understanding
  65. Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsDiffusion models → Inverse problems and image restoration
  66. Siamese Transformer Networks for Few-shot Image Classification
  67. Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions
  68. CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
  69. Dilated convolution neural operator for multiscale partial differential equations
  70. Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction
  71. Hybrid Deep Learning Framework for Enhanced Melanoma Detection
  72. NudgeRank: Digital Algorithmic Nudging for Personalized Health
  73. Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)
  74. Overfitting In Contrastive Learning?
  75. Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysis
  76. Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance
  77. Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems
  78. Whitening Not Recommended for Classification Tasks in LLMs
  79. SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification
  80. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  81. InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
  82. BinaryAlign: Word Alignment as Binary Sequence Labeling
  83. Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
  84. Do LLMs have Consistent Values?
  85. Exploring the Use of Abusive Generative AI Models on Civitai
  86. ChatBCG: Can AI Read Your Slide Deck?
  87. SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning
  88. AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs
  89. VideoClusterNet: Self-Supervised and Adaptive Face Clustering For Videos
  90. Generalized Coverage for More Robust Low-Budget Active Learning
  91. On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
  92. A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification
  93. NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models
  94. A Language Modeling Approach to Diacritic-Free Hebrew TTS
  95. This Probably Looks Exactly Like That: An Invertible Prototypical Network
  96. Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot Interactions
  97. MASIVE: Open-Ended Affective State Identification in English and Spanish
  98. CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
  99. The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
  100. Exploration Unbound
All 343
  1. Are Linear Regression Models White Box and Interpretable?
  2. GPT-4V Cannot Generate Radiology Reports Yet
  3. A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics
  4. Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
  5. A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction
  6. Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language
  7. Monocular pose estimation of articulated open surgery tools -- in the wild
  8. Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
  9. Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
  10. LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation
  11. FoodMem: Near Real-time and Precise Food Video Segmentation
  12. MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
  13. A Benchmark for Fairness-Aware Graph Learning
  14. Private prediction for large-scale synthetic text generation
  15. An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance
  16. Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
  17. Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
  18. Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach
  19. Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment
  20. Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
  21. MaskVD: Region Masking for Efficient Video Object Detection
  22. Temporally Grounding Instructional Diagrams in Unconstrained Videos
  23. Data selection method for assessment of autonomous vehicles
  24. Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling
  25. Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
  26. Temporally Consistent Stereo Matching
  27. Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation
  28. Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
  29. Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain
  30. Thermal Imaging and Radar for Remote Sleep Monitoring of Breathing and Apnea
  31. Learning Multi-view Anomaly Detection with Efficient Adaptive Selection
  32. Fairness-Aware Multi-Group Target Detection in Online Discussion
  33. Impossibility of latent inner product recovery via rate distortion
  34. Localizing and Mitigating Errors in Long-form Question Answering
  35. Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
  36. Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
  37. Learning secondary tool affordances of human partners using iCub robot's egocentric data
  38. What's Wrong? Refining Meeting Summaries with LLM Feedback
  39. Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space
  40. Imitation of human motion achieves natural head movements for humanoid robots in an active-speaker detection task
  41. Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
  42. Benchmarking the Attribution Quality of Vision Models
  43. GraphFM: A generalist graph transformer that learns transferable representations across diverse domains
  44. SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
  45. Encapsulating Knowledge in One Prompt
  46. Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
  47. OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
  48. Deep Learning without Global Optimization by Random Fourier Neural Networks
  49. DepGAN: Leveraging Depth Maps for Handling Occlusions and Transparency in Image Composition
  50. Learning Confidence Bounds for Classification with Imbalanced Data
  51. Bridging Weighted First Order Model Counting and Graph Polynomials
  52. Simplifying the Theory on Over-Smoothing
  53. Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
  54. Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising
  55. LML: A Novel Lexicon for the Moral Foundation of Liberty
  56. What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation
  57. Evaluating Task-Oriented Dialogue Consistency through Constraint Satisfaction
  58. Scaling Sign Language Translation
  59. Schema Matching with Large Language Models: an Experimental Study
  60. SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
  61. Variational Randomized Smoothing for Sample-Wise Adversarial Robustness
  62. MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification
  63. LoFTI: Localization and Factuality Transfer to Indian Locales
  64. Approximating the Number of Relevant Variables in a Parity Implies Proper Learning
  65. zIA: a GenAI-powered local auntie assists tourists in Italy
  66. Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors
  67. GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text
  68. The Future of Data Science Education
  69. Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
  70. Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings
  71. Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation
  72. Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis
  73. Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decoding
  74. Scalable and Reliable Over-the-Air Federated Edge Learning
  75. Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry
  76. Click-Gaussian: Interactive Segmentation to Any 3D Gaussians
  77. Characterizing and Understanding HGNN Training on GPUs
  78. Large Language Models as Misleading Assistants in Conversation
  79. Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
  80. Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data
  81. Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
  82. Sliding Gaussian ball adaptive growth (SlingBAG): point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging
  83. Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
  84. Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text
  85. Educational Personalized Learning Path Planning with Large Language Models
  86. XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
  87. Robust Utility-Preserving Text Anonymization Based on Large Language Models
  88. ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment
  89. Vectoring Languages
  90. Adversarial Robustness of Graph Transformers
  91. Enhancing Split Computing and Early Exit Applications through Predefined Sparsity
  92. Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
  93. A Theoretical Formulation of Many-body Message Passing Neural Networks
  94. A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection
  95. Cycle Contrastive Adversarial Learning for Unsupervised image Deraining
  96. Ubiquitous Metadata: Design and Fabrication of Embedded Markers for Real-World Object Identification and Interaction
  97. Universal Sound Separation with Self-Supervised Audio Masked Autoencoder
  98. OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
  99. GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection
  100. ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
  101. Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
  102. How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies
  103. Monocular Occupancy Prediction for Scalable Indoor Scenes
  104. Exploring Quantization for Efficient Pre-Training of Transformer Language Models
  105. Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models
  106. Improving Unsupervised Video Object Segmentation via Fake Flow Generation
  107. Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces
  108. Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
  109. Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
  110. NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks
  111. Global atmospheric data assimilation with multi-modal masked autoencoders
  112. VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
  113. CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings
  114. Deconvolution with a Box
  115. Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning
  116. MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
  117. Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
  118. Video-Language Alignment via Spatio-Temporal Graph Transformer
  119. SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
  120. Learning to Make Keypoints Sub-Pixel Accurate
  121. Neural Compression of Atmospheric States
  122. Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Network
  123. ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues
  124. Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
  125. R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models
  126. CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
  127. Statistics-aware Audio-visual Deepfake Detector
  128. Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
  129. Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures
  130. REMM:Rotation-Equivariant Framework for End-to-End Multimodal Image Matching
  131. Dynamic Dimension Wrapping (DDW) Algorithm: A Novel Approach for Efficient Cross-Dimensional Search in Dynamic Multidimensional Spaces
  132. Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots
  133. Rethinking Fair Graph Neural Networks from Re-balancing
  134. Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
  135. Graph Dimension Attention Networks for Enterprise Credit Assessment
  136. Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
  137. Improving Engagement and Efficacy of mHealth Micro-Interventions for Stress Coping: an In-The-Wild Study
  138. MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction
  139. Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift
  140. The Foundations of Tokenization: Statistical and Computational Concerns
  141. Enhancing TinyML Security: Study of Adversarial Attack Transferability
  142. HyperAggregation: Aggregating over Graph Edges with Hypernetworks
  143. AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
  144. Rethinking Learned Image Compression: Context is All You Need
  145. Progressive Pretext Task Learning for Human Trajectory Prediction
  146. Enhancing stop location detection for incomplete urban mobility datasets
  147. Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification
  148. Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
  149. SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
  150. TGIF: Text-Guided Inpainting Forgery Dataset
  151. SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation
  152. RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
  153. Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction
  154. How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
  155. ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection
  156. A Discrete Perspective Towards the Construction of Sparse Probabilistic Boolean Networks
  157. Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
  158. Uniformly Accelerated Motion Model for Inter Prediction
  159. Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets
  160. AEMIM: Adversarial Examples Meet Masked Image Modeling
  161. Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
  162. LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
  163. Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
  164. Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
  165. ColorwAI: Generative Colorways of Textiles through GAN and Diffusion Disentanglement
  166. Haze-Aware Attention Network for Single-Image Dehazing
  167. Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation
  168. An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
  169. ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
  170. MMSD-Net: Towards Multi-modal Stuttering Detection
  171. PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation
  172. An efficient framework based on large foundation model for cervical cytopathology whole slide image screening
  173. Scientific QA System with Verifiable Answers
  174. The Oscars of AI Theater: A Survey on Role-Playing with Language Models
  175. Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
  176. AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
  177. TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
  178. Quantum Maximum Entropy Inference and Hamiltonian Learning
  179. Safe Online Convex Optimization with Multi-Point Feedback
  180. Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
  181. AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder
  182. Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes
  183. Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
  184. RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation
  185. Graceful task adaptation with a bi-hemispheric RL agent
  186. Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
  187. cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
  188. EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
  189. Repurformer: Transformers for Repurposing-Aware Molecule Generation
  190. Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
  191. Genomic Language Models: Opportunities and Challenges
  192. MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction
  193. Joint Data Inpainting and Graph Learning via Unrolled Neural Networks
  194. Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis
  195. Generally-Occurring Model Change for Robust Counterfactual Explanations
  196. States Hidden in Hidden States: Implicit Discrete State Representations Emerge in LLMs' Hidden States
  197. TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs
  198. Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
  199. SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
  200. SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
  201. Representation Bias in Political Sample Simulations with Large Language Models
  202. Accounting for Work Zone Disruptions in Traffic Flow Forecasting
  203. Revisiting the Impact of Pursuing Modularity for Code Generation
  204. Cover-separable Fixed Neural Network Steganography via Deep Generative Models
  205. Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data
  206. EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
  207. CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation
  208. Exponential tilting of subweibull distributions
  209. TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering
  210. Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
  211. Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian Operations
  212. NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition
  213. Exploring connections of spectral analysis and transfer learning in medical imaging
  214. Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
  215. UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
  216. Estimating Agreement by Chance for Sequence Annotation
  217. A Pilot Study of GSLM-based Simulation of Foreign Accentuation Only Using Native Speech Corpora
  218. Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach
  219. Learning-augmented Maximum Independent Set
  220. Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
  221. Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias
  222. Feature Inference Attack on Shapley Values
  223. SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
  224. The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
  225. Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping
  226. Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
  227. Flatfish Lesion Detection Based on Part Segmentation Approach and Lesion Image Generation
  228. I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM
  229. Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models
  230. Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
  231. Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering
  232. Continuity Preserving Online CenterLine Graph Learning
  233. Navigating the swarm: Deep neural networks command emergent behaviours
  234. TCFormer: Visual Recognition via Token Clustering Transformer
  235. BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI
  236. COMET: "Cone of experience" enhanced large multimodal model for mathematical problem generation
  237. Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
  238. Gaussian Splatting Lucas-Kanade
  239. Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
  240. PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer
  241. FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration
  242. COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
  243. LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors