mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 25 Mar 2024

327 papers

  1. Block Selective Reprogramming for On-device Training of Vision TransformersMixture-of-experts → Vision mixture-of-experts
  2. RL for Consistency Models: Faster Reward Guided Text-to-Image GenerationDiffusion models → Diffusion and flow policies for robotics +1
  3. Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  4. Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  5. Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  6. TwoStep: Multi-agent Task Planning using Classical Planners and Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated ParkingDeep reinforcement learning methods → RL for autonomous driving and traffic
  8. To Err is Machine: Vulnerability Detection Challenges LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
  9. DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face ReenactmentDiffusion models → Image generation, text-to-image and editing
  10. AnimateMe: 4D Facial Expressions via Diffusion ModelsDiffusion models → Audio, speech and music
  11. Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0LLM agents and tool use → Web, search, and research agents
  12. CYGENT: A cybersecurity conversational agent with log summarization powered by GPT-3LLM agents and tool use → Agent threats, guardrails and governance
  13. Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive ControlDeep reinforcement learning methods → RL theory and sample complexity
  14. MetaAligner: Towards Generalizable Multi-Objective Alignment of Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  15. RepairAgent: An Autonomous, LLM-Based Agent for Program RepairLLM agents and tool use → Software engineering coding agents
  16. Grounding Language Plans in Demonstrations Through Counterfactual PerturbationsLLM reasoning → Spatial and embodied reasoning
  17. Certified Machine Unlearning via Noisy Stochastic Gradient DescentLLM safety and security → Machine unlearning
  18. Offline Reinforcement Learning: Role of State Aggregation and Trajectory DataOffline RL and imitation learning from data → Offline RL algorithms
  19. Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic DirectionsDiffusion models → Image generation, text-to-image and editing
  20. Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image ReconstructionDiffusion models → Inverse problems and image restoration
  21. Invertible Diffusion Models for Compressed SensingDiffusion models → Inverse problems and image restoration
  22. TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion ModelsDiffusion models → Video generation
  23. SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion TransformerDiffusion models → Diffusion foundations and sampling +1
  24. VP3D: Unleashing 2D Visual Prompt for Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
  25. Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-ResolutionDiffusion models → Inverse problems and image restoration
  26. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning +1
  27. Understanding Long Videos with Multimodal Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  28. DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
  29. Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic FlowsDiffusion models → Discrete and text diffusion
  30. Comp4D: LLM-Guided Compositional 4D Scene GenerationDiffusion models → 3D, point cloud and scene generation
  31. Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  32. Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion GuidanceDiffusion models → Image generation, text-to-image and editing
  33. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  34. PropTest: Automatic Property Testing for Improved Visual ProgrammingLLM reasoning → Multimodal reasoning
  35. Proprioception Is All You Need: Terrain Classification for Boreal ForestsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  36. Semantic-Aware Remote Estimation of Multiple Markov Sources Under ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
  37. Do LLM Agents Have Regret? A Case Study in Online Learning and GamesLLM agents and tool use → Reinforcement learning for LLM agents
  38. From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
  39. Convergence of a model-free entropy-regularized inverse reinforcement learning algorithmOffline RL and imitation learning from data → Inverse reinforcement learning +1
  40. Weak Convergence Analysis of Online Neural Actor-Critic AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
  41. Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian OptimizationDiffusion models → Diffusion foundations and sampling
  42. Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View PlanningDiffusion models → 3D, point cloud and scene generation
  43. I-Diff: Structural Regularization for High-Fidelity Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  44. Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk ConstraintDeep reinforcement learning methods → RL for games and combinatorial optimization
  45. A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation ModelsDiffusion models → Diffusion and flow policies for robotics
  46. Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber LossDiffusion models → Diffusion foundations and sampling
  47. SYNAPSE: SYmbolic Neural-Aided Preference Synthesis EngineLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  48. Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio OptimizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
  49. Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting DRLDeep reinforcement learning methods → RL for robot locomotion and manipulation
  50. CLHA: A Simple yet Effective Contrastive Learning Framework for Human AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  51. Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-ResolutionDiffusion models → Inverse problems and image restoration
  52. SDXS: Real-Time One-Step Latent Diffusion Models with Image ConditionsDiffusion models → Diffusion foundations and sampling
  53. SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic SegmentationDiffusion models → Inverse problems and image restoration
  54. Counter-example guided Imitation Learning of Feedback Controllers from Temporal Logic SpecificationsOffline RL and imitation learning from data → Robot learning from demonstration
  55. Elysium: Exploring Object-level Perception in Videos via MLLMMultimodal LLMs / vision-language models → Video understanding with MLLMs
  56. VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal ForecastingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  57. An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  58. Open-Set Recognition in the Age of Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  59. Harnessing the power of LLMs for normative reasoning in MASsLLM reasoning → Reasoning for agents, planning and code +1
  60. Norm Violation Detection in Multi-Agent Systems using Large Language Models: A Pilot StudyLLM agents and tool use → Social simulation and multi-agent debate
  61. Make-Your-Anchor: A Diffusion-based 2D Avatar Generation FrameworkDiffusion models → Audio, speech and music
  62. If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept DescriptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  63. Reasoning Runtime Behavior of a Program with LLM: How Far Are We?LLM reasoning → Reasoning for agents, planning and code
  64. Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image GenerationDiffusion models → Image generation, text-to-image and editing
  65. Physics-informed RL for Maximal Safety Probability EstimationDeep reinforcement learning methods → Safe and constrained RL
  66. Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQALLM reasoning → Multimodal reasoning
  67. FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative ModelsDiffusion models → Image generation, text-to-image and editing
  68. Learning Action-based Representations Using InvarianceDeep reinforcement learning methods → Deep RL algorithms and representations
  69. Generating Potent Poisons and Backdoors from Scratch with Guided DiffusionDiffusion models → Robustness, privacy and adversarial aspects +1
  70. Prompting the E-Brushes: Users as Authors in Generative AI
  71. VICAN: Very Efficient Calibration Algorithm for Large Camera Networks
  72. Multimodal Physical Fitness Monitoring (PFM) Framework Based on TimeMAE-PFM in Wearable Scenarios
  73. Advancing Speech Translation: A Corpus of Mandarin-English Conversational Telephone Speech
  74. Advancing Extrapolative Predictions of Material Properties through Learning to Learn
  75. Linear Cross-document Event Coreference Resolution with X-AMR
  76. An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting
  77. AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework
  78. Grappa -- A Machine Learned Molecular Mechanics Force Field
  79. SLIMBRAIN: Augmented Reality Real-Time Acquisition and Processing System For Hyperspectral Classification Mapping with Depth Information for In-Vivo Surgical Procedures
  80. Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games
  81. UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
  82. STRUM-LLM: Attributed and Structured Contrastive Summarization
  83. Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models
  84. Graph Bayesian Optimization for Multiplex Influence Maximization
  85. Resolution Limit of Single-Photon LiDAR
  86. Diffusion-based Negative Sampling on Graphs for Link Prediction
  87. Decoding the visual attention of pathologists to reveal their level of expertise
  88. A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning
  89. DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
  90. SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
  91. The Role of n-gram Smoothing in the Age of Neural Networks
  92. Manufacturing Service Capability Prediction with Graph Neural Networks
  93. Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks
  94. DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion
  95. Neural Image Compression with Quantization Rectifier
  96. Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
  97. Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
  98. Uncertainty Quantification for Gradient-based Explanations in Neural Networks
  99. Co-Occurring of Object Detection and Identification towards unlabeled object discovery
  100. Making Sentence Embeddings Robust to User-Generated Content
All 327
  1. SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studies
  2. Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis
  3. Output Format Biases in the Evaluation of Large Language Models for Code Translation
  4. Sanity Checks for Explanation Uncertainty
  5. CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
  6. Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model
  7. Text Understanding in GPT-4 vs Humans
  8. Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
  9. LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
  10. On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
  11. Deep models for stroke segmentation: do complex architectures always perform better?
  12. Histogram Layers for Neural Engineered Features
  13. Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
  14. Belief Samples Are All You Need For Social Learning
  15. Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
  16. QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
  17. Multi-Objective Quality-Diversity for Crystal Structure Prediction
  18. Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
  19. Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels
  20. Task-Agnostic Detector for Insertion-Based Backdoor Attacks
  21. On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
  22. Hearing the shape of an arena with spectral swarm robotics
  23. Outcome-Constrained Large Language Models for Countering Hate Speech
  24. Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
  25. Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
  26. Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification
  27. Benchmarking Video Frame Interpolation
  28. The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition
  29. Graph Protection under Multiple Simultaneous Attacks: A Heuristic Approach
  30. Attribute First, then Generate: Locally-attributable Grounded Text Generation
  31. Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
  32. AI Consciousness is Inevitable: A Theoretical Computer Science Perspective
  33. SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
  34. Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis
  35. GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration
  36. A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments
  37. A Study in Dataset Pruning for Image Super-Resolution
  38. Machine Learning on Blockchain Data: A Systematic Mapping Study
  39. Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
  40. Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
  41. Is Your LiDAR Placement Optimized for 3D Scene Understanding?
  42. FlashFace: Human Image Personalization with High-fidelity Identity Preservation
  43. DreamLIP: Language-Image Pre-training with Long Captions
  44. Composed Video Retrieval via Enriched Context and Discriminative Embeddings
  45. Mapping Image Transformations Onto Pixel Processor Arrays
  46. Dynamic Relative Representations for Goal-Oriented Semantic Communications
  47. Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
  48. The Sample Complexity of Simple Binary Hypothesis Testing
  49. A comparison of Human, GPT-3.5, and GPT-4 Performance in a University-Level Coding Course
  50. Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
  51. VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
  52. AIOS: LLM Agent Operating System
  53. Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning
  54. Evaluating Shortest Edit Script Methods for Contextual Lemmatization
  55. Visual Whole-Body Control for Legged Loco-Manipulation
  56. GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
  57. TwinLiteNet+: An Enhanced Multi-Task Segmentation Model for Autonomous Driving
  58. Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
  59. SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
  60. Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
  61. Backpropagation through space, time, and the brain
  62. FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
  63. SCOD: From Heuristics to Theory
  64. Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models
  65. New Intent Discovery with Attracting and Dispersing Prototype
  66. Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
  67. Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
  68. Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper
  69. Towards Secure and Trusted-by-Design Smart Contracts
  70. State Space Models as Foundation Models: A Control Theoretic Overview
  71. Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text
  72. "It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science research
  73. Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function
  74. CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
  75. GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
  76. Conformal Off-Policy Prediction for Multi-Agent Systems
  77. Encoding of lexical tone in self-supervised models of spoken language
  78. SIP: Autotuning GPU Native Schedules via Stochastic Instruction Perturbation
  79. INPC: Implicit Neural Point Clouds for Radiance Field Rendering
  80. DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts
  81. XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
  82. An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
  83. Towards Explainability in Legal Outcome Prediction Models
  84. Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models
  85. Multiple Object Tracking as ID Prediction
  86. CoDy: Counterfactual Explainers for Dynamic Graphs
  87. UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
  88. On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies
  89. Resource and Mobility Management in Hybrid LiFi and WiFi Networks: A User-Centric Learning Approach
  90. Cross-lingual Contextualized Phrase Retrieval
  91. Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
  92. An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
  93. Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products
  94. TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification
  95. Enhancing Neural Network Representations with Prior Knowledge-Based Normalization
  96. CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
  97. Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
  98. HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
  99. The Anatomy of Adversarial Attacks: Concept-based XAI Dissection
  100. Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?
  101. Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
  102. Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation
  103. DeepKnowledge: Generalisation-Driven Deep Learning Testing
  104. As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli
  105. Bi-objective Optimization in Role Mining
  106. All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification
  107. Creating a Digital Twin of Spinal Surgery: A Proof of Concept
  108. Enabling Uncertainty Estimation in Iterative Neural Networks
  109. Towards a Formalisation of Value-based Actions and Consequentialist Ethics
  110. One-Shot Domain Incremental Learning
  111. ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
  112. DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
  113. Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
  114. Optimal convex M-estimation via score matching
  115. Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography
  116. ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
  117. A note on generalization bounds for losses with finite moments
  118. Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
  119. DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
  120. FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
  121. Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
  122. Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network
  123. Who is bragging more online? A large scale analysis of bragging in social media
  124. Revisiting the Sleeping Beauty problem
  125. RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
  126. Graph Augmentation for Recommendation
  127. Grammatical vs Spelling Error Correction: An Investigation into the Responsiveness of Transformer-based Language Models using BART and MarianMT
  128. A Novel Loss Function-based Support Vector Machine for Binary Classification
  129. Clustering Propagation for Universal Medical Image Segmentation
  130. Bridging the Sim-to-Real Gap with Bayesian Inference
  131. Multi-Scale Texture Loss for CT denoising with GANs
  132. AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
  133. V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster
  134. A comparative analysis of embedding models for patent similarity
  135. Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts
  136. Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
  137. Distributed collaborative anomalous sound detection by embedding sharing
  138. Conversational Grounding: Annotation and Analysis of Grounding Acts and Grounding Units
  139. Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus
  140. EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
  141. TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
  142. Bridging Privacy and Robustness for Trustworthy Machine Learning
  143. Can Large Language Models (or Humans) Disentangle Text?
  144. In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
  145. SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
  146. Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
  147. NSINA: A News Corpus for Sinhala
  148. Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors
  149. FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
  150. Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients
  151. PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
  152. QKFormer: Hierarchical Spiking Transformer using Q-K Attention
  153. Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
  154. Differentially Private Online Federated Learning with Correlated Noise
  155. Data-Efficient 3D Visual Grounding via Order-Aware Referring
  156. Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
  157. ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration
  158. Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
  159. CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification
  160. Visually Guided Generative Text-Layout Pre-training for Document Intelligence
  161. Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
  162. LLMs Are Few-Shot In-Context Low-Resource Language Learners
  163. Human Understanding AI Paper Challenge 2024 -- Dataset Design
  164. Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
  165. LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
  166. Medical Image Registration and Its Application in Retinal Images: A Review
  167. Learning To Guide Human Decision Makers With Vision-Language Models
  168. Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes
  169. PathoTune: Adapting Visual Foundation Model to Pathological Specialists
  170. LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
  171. CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks
  172. Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks
  173. Determined Multi-Label Learning via Similarity-Based Prompt
  174. REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices
  175. Learning from Reduced Labels for Long-Tailed Data
  176. Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
  177. Few-shot Named Entity Recognition via Superposition Concept Discrimination
  178. FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
  179. On the rates of convergence for learning with convolutional neural networks
  180. DeepMachining: Online Prediction of Machining Errors of Lathe Machines
  181. Camera-aware Label Refinement for Unsupervised Person Re-identification
  182. A Study on How Attention Scores in the BERT Model are Aware of Lexical Categories in Syntactic and Semantic Tasks on the GLUE Benchmark
  183. Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm
  184. KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models
  185. CodeS: Natural Language to Code Repository via Multi-Layer Sketch
  186. RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
  187. Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
  188. Real-time Neuron Segmentation for Voltage Imaging
  189. InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
  190. textitLinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models
  191. DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
  192. Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
  193. Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
  194. Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
  195. An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations
  196. An Incremental MaxSAT-based Model to Learn Interpretable and Balanced Classification Rules
  197. How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation
  198. Unsupervised Template-assisted Point Cloud Shape Correspondence Network
  199. Spike-NeRF: Neural Radiance Field Based On Spike Camera
  200. A Survey on Long Video Generation: Challenges, Methods, and Prospects
  201. Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models
  202. ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
  203. Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
  204. RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
  205. Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
  206. Multi-attention Associate Prediction Network for Visual Tracking
  207. Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
  208. Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
  209. Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion
  210. Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
  211. Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging
  212. Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
  213. Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion
  214. ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
  215. SignSGD with Federated Voting
  216. GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
  217. Distilling Semantic Priors from SAM to Efficient Image Restoration Models
  218. RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN
  219. ChebMixer: Efficient Graph Representation Learning with MLP Mixer
  220. ChatDBG: Augmenting Debugging with Large Language Models
  221. 3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation
  222. ChatGPT Incorrectness Detection in Software Reviews
  223. Enhanced Facet Generation with LLM Editing
  224. Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks
  225. Predictive Inference in Multi-environment Scenarios
  226. MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
  227. Graphs Generalization under Distribution Shifts