mlsanityData to 7 Oct 2026

Papers

New on arXiv

Wed 13 Mar 2024

316 papers

  1. A Moral Imperative: The Need for Continual Superalignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Second-Order Information Matters: Revisiting Machine Unlearning for Large Language ModelsLLM safety and security → Machine unlearning
  3. Learning to Watermark LLM-generated Text via Reinforcement LearningLLM safety and security → Watermarking generated content and models
  4. Do Large Language Models Solve ARC Visual Analogies Like People Do?LLM reasoning → Multimodal reasoning
  5. AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural FieldsDiffusion models → Medical imaging and segmentation
  7. Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial TopicsRetrieval-augmented generation → Hallucination detection in RAG
  8. Envision3D: One Image to 3D with Anchor Views InterpolationDiffusion models → 3D, point cloud and scene generation
  9. Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMsEfficient LLM inference and serving → KV cache optimization
  10. NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear InterpolationDiffusion models → Diffusion foundations and sampling
  11. TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language NavigationLLM reasoning → Spatial and embodied reasoning
  12. VLOGGER: Multimodal Diffusion for Embodied Avatar SynthesisDiffusion models → Audio, speech and music
  13. Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRIDiffusion models → Medical imaging and segmentation
  14. Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRIDiffusion models → Medical imaging and segmentation
  15. Strengthening Multimodal Large Language Model with Bootstrapped Preference OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
  16. Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted DataDiffusion models → Inverse problems and image restoration
  17. SOTOPIA-π: Interactive Learning of Socially Intelligent Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  18. Review of Generative AI Methods in CybersecurityLLM safety and security → Prompt injection and agent security
  19. TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  20. Human Alignment of Large Language Models through Online Preference OptimisationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  21. SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise RobustnessLLM safety and security → Machine unlearning
  22. Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured EnvironmentsLLM reasoning → Knowledge- and tool-augmented reasoning
  23. ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional VideosDiffusion models → Video generation
  24. Federated Knowledge Graph Unlearning via Diffusion ModelLLM safety and security → Federated unlearning and poisoning
  25. AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  26. Model Will Tell: Training Membership Inference for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  27. SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference AttacksLLM safety and security → Membership inference attacks
  28. MD-Dose: A diffusion model based on the Mamba for radiation dose predictionDiffusion models → Medical imaging and segmentation +1
  29. An Analysis of Human Alignment of Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  30. Diffusion Models with Implicit Guidance for Medical Anomaly DetectionDiffusion models → Medical imaging and segmentation
  31. Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  32. An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  33. Language-Driven Visual Consensus for Zero-Shot Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  34. Distract Large Language Models for Automatic Jailbreak AttackLLM safety and security → Jailbreaking
  35. Iterative Online Image Synthesis via Diffusion Model for Imbalanced ClassificationDiffusion models → Diffusion foundations and sampling
  36. System for systematic literature review using multiple AI agents: Concept and an empirical evaluationLLM agents and tool use → Web, search, and research agents
  37. Tackling the Singularities at the Endpoints of Time Intervals in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  38. CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  39. StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal LossesEfficient LLM inference and serving → Prompt and context compression
  40. HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  41. CleanAgent: Automating Data Standardization with LLM-based AgentsLLM agents and tool use → Web, search, and research agents
  42. Hierarchical Auto-Organizing System for Open-Ended Multi-Agent NavigationLLM agents and tool use → Reinforcement learning for LLM agents
  43. Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship ClassificationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  44. Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  45. Make Me Happier: Evoking Emotions Through Image Diffusion ModelsDiffusion models → Audio, speech and music
  46. Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and ProspectsLLM safety and security → Machine unlearning
  47. Emergence of Social Norms in Generative Agent Societies: Principles and ArchitectureLLM agents and tool use → Social simulation and multi-agent debate
  48. Scattered Mixture-of-Experts ImplementationMixture-of-experts → Efficient MoE training and inference systems
  49. Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-box OptimizationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  50. Large Language Models are Contrastive ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
  51. Modeling the Feedback of AI Price Estimations on Actual Market Values
  52. Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
  53. Image Classification for CSSVD Detection in Cacao Plants
  54. Anti-Jamming Path Planning Using GCN for Multi-UAV
  55. Scaling Instructable Agents Across Many Simulated Worlds
  56. Distilling Named Entity Recognition Models for Endangered Species from Large Language Models
  57. CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
  58. Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
  59. Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization
  60. On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
  61. Cyclical Log Annealing as a Learning Rate Scheduler
  62. Self-Regulated Neurogenesis for Online Data-Incremental Learning
  63. (Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
  64. AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Models
  65. Fundamental Components of Deep Learning: A category-theoretic approach
  66. Foundation Models and Information Retrieval in Digital Pathology
  67. KARINA: An Efficient Deep Learning Model for Global Weather Forecast
  68. Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
  69. Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
  70. Pairwise Comparisons Are All You Need
  71. Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
  72. The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions
  73. A short review on the maximum clique problem algorithms with classical, AI, and quantum methods
  74. Teaching Machines to Code: Smart Contract Translation with LLMs
  75. Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
  76. A Sophisticated Framework for the Accurate Detection of Phishing Websites
  77. OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
  78. PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency
  79. Caltech Aerial RGB-Thermal Dataset in the Wild
  80. NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
  81. Ethos: Rectifying Language Models in Orthogonal Parameter Space
  82. Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation
  83. Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications
  84. 7T MRI Synthesization from 3T Acquisitions
  85. The Full-scale Assembly Simulation Testbed (FAST) Dataset
  86. PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
  87. Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
  88. Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring
  89. AI coach for badminton
  90. Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
  91. Exploring Prompt Engineering Practices in the Enterprise
  92. Robust COVID-19 Detection in CT Images with CLIP
  93. Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
  94. Language-based game theory in the age of artificial intelligence
  95. LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots
  96. Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
  97. FogGuard: guarding YOLO against fog using perceptual loss
  98. A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator
  99. Bugs in Large Language Models Generated Code: An Empirical Study
  100. Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
All 316
  1. Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
  2. CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
  3. Efficiently Computing Similarities to Private Datasets
  4. Cross-Modal Learning of Housing Quality in Amsterdam
  5. Meta-operators for Enabling Parallel Planning Using Deep Reinforcement Learning
  6. Strategizing against Q-learners: A Control-theoretical Approach
  7. A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
  8. One-Shot Averaging for Distributed TD(λ) Under Markov Sampling
  9. From "um" to "yeah": Producing, predicting, and regulating information flow in human conversation
  10. Federated Data Model
  11. SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net
  12. Cultural evolution in populations of Large Language Models
  13. REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values
  14. Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
  15. ARtVista: Gateway To Empower Anyone Into Artist
  16. DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation
  17. Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
  18. PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
  19. FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
  20. JAXbind: Bind any function to JAX
  21. AcademiaOS: Automating Grounded Theory Development in Qualitative Research with Large Language Models
  22. Fuzzy Fault Trees Formalized
  23. Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem with Time Windows
  24. Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
  25. Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks
  26. Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
  27. Stacking-based deep neural network for player scouting in football 1
  28. Predictive Analysis of Tuberculosis Treatment Outcomes Using Machine Learning: A Karnataka TB Data Study at a Scale
  29. FastMAC: Stochastic Spectral Sampling of Correspondence Graph
  30. 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface
  31. MonoOcc: Digging into Monocular Semantic Occupancy Prediction
  32. Simple and Scalable Strategies to Continually Pre-train Large Language Models
  33. Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches
  34. MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
  35. Efficient Combinatorial Optimization via Heat Diffusion
  36. DAM: Dynamic Adapter Merging for Continual Video QA Learning
  37. Neural reproducing kernel Banach spaces and representer theorems for deep networks
  38. Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution
  39. iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer
  40. Prompting Fairness: Integrating Causality to Debias Large Language Models
  41. Learning How to Strategically Disclose Information
  42. The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models
  43. Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations
  44. ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation
  45. GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
  46. Historical Astronomical Diagrams Decomposition in Geometric Primitives
  47. Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
  48. Implicit Regularization of Gradient Flow on One-Layer Softmax Attention
  49. Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
  50. Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages
  51. Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
  52. Token Alignment via Character Matching for Subword Completion
  53. Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
  54. OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework
  55. When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
  56. Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records
  57. Self-Supervised Learning for Covariance Estimation
  58. Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks
  59. HAIFIT: Human-to-AI Fashion Image Translation
  60. Data Augmentation in Human-Centric Vision
  61. A Causal Inspired Early-Branching Structure for Domain Generalization
  62. Refractive COLMAP: Refractive Structure-from-Motion Revisited
  63. HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
  64. Disparate Effect Of Missing Mediators On Transportability of Causal Effects
  65. A Decade's Battle on Dataset Bias: Are We There Yet?
  66. Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting
  67. Scaling Up Dynamic Human-Scene Interaction Modeling
  68. Multifidelity linear regression for scientific machine learning from scarce data
  69. Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
  70. On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
  71. MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
  72. Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
  73. Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
  74. Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
  75. PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections
  76. Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems
  77. Local Binary and Multiclass SVMs Trained on a Quantum Annealer
  78. Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
  79. Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
  80. Caformer: Rethinking Time Series Analysis from Causal Perspective
  81. A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations
  82. Consistent Prompting for Rehearsal-Free Continual Learning
  83. A Novel Implicit Neural Representation for Volume Data
  84. Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria
  85. Structural perspective on constraint-based learning of Markov networks
  86. OC4-ReID: Occluded Cloth-Changing Person Re-Identification
  87. SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model
  88. Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
  89. GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
  90. CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
  91. Language models scale reliably with over-training and on downstream tasks
  92. HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
  93. Pig aggression classification using CNN, Transformers and Recurrent Networks
  94. From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
  95. MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction
  96. A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product
  97. CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
  98. Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving
  99. Masked Generative Story Transformer with Character Guidance and Caption Augmentation
  100. Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks
  101. Gaussian Splatting in Style
  102. Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
  103. Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking
  104. Targeted Efficient Fine-tuning: Optimizing Parameter Updates with Data-Driven Sample Selection
  105. Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
  106. Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification
  107. Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on
  108. Actor-Critic Physics-informed Neural Lyapunov Control
  109. COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
  110. Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
  111. PFStorer: Personalized Face Restoration and Super-Resolution
  112. Search-based Optimisation of LLM Learning Shots for Story Point Estimation
  113. Software Vulnerability and Functionality Assessment using LLMs
  114. DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks
  115. Specification Overfitting in Artificial Intelligence
  116. ALow-Cost Real-Time Framework for Industrial Action Recognition Using Foundation Models
  117. The Development and Performance of a Machine Learning Based Mobile Platform for Visually Determining the Etiology of Penile Pathology
  118. Causal Graph Neural Networks for Wildfire Danger Prediction
  119. Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models
  120. FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation
  121. Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content
  122. Optimizing Risk-averse Human-AI Hybrid Teams
  123. AADNet: Attention aware Demoir'eing Network
  124. AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in Federated Learning
  125. Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling
  126. An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification
  127. Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
  128. Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
  129. Translating between SQL Dialects for Cloud Migration
  130. SMART: Submodular Data Mixture Strategy for Instruction Tuning
  131. METER: a mobile vision transformer architecture for monocular depth estimation
  132. Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
  133. Mean-Field Microcanonical Gradient Descent
  134. Improved Image-based Pose Regressor Models for Underwater Environments
  135. Log Summarisation for Defect Evolution Analysis
  136. NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
  137. Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
  138. From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
  139. STMPL: Human Soft-Tissue Simulation
  140. LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
  141. A Sparsity Principle for Partially Observable Causal Representation Learning
  142. Fast Inference of Removal-Based Node Influence
  143. Autoregressive Score Generation for Multi-trait Essay Scoring
  144. Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR
  145. Activating Wider Areas in Image Super-Resolution
  146. ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation
  147. Knowledge Conflicts for LLMs: A Survey
  148. DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
  149. Is Context Helpful for Chat Translation Evaluation?
  150. StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields
  151. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
  152. AutoDev: Automated AI-Driven Development
  153. Gemma: Open Models Based on Gemini Research and Technology
  154. Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
  155. Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
  156. Weak Collocation Regression for Inferring Stochastic Dynamics with L'evy Noise
  157. MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning
  158. Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks
  159. Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models
  160. Pre-examinations Improve Automated Metastases Detection on Cranial MRI
  161. VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition
  162. LiqD: A Dynamic Liquid Level Detection Model under Tricky Small Containers
  163. RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
  164. Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification
  165. Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
  166. SNOW-SCA: ML-assisted Side-Channel Attack on SNOW-V
  167. Random Search as a Baseline for Sparse Neural Network Architecture Search
  168. GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attribute
  169. BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
  170. CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
  171. Skipformer: A Skip-and-Recover Strategy for Efficient Speech Recognition
  172. IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-Labels
  173. PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
  174. A Dual-domain Regularization Method for Ring Artifact Removal of X-ray CT
  175. Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
  176. A Novel Feature Learning-based Bio-inspired Neural Network for Real-time Collision-free Rescue of Multi-Robot Systems
  177. Point Cloud Compression via Constrained Optimal Transport
  178. Boosting Disfluency Detection with Large Language Model as Disfluency Generator
  179. Matching Semantically Similar Non-Identical Objects
  180. REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence
  181. Robust Decision Aggregation with Adversarial Experts
  182. Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems
  183. Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
  184. PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
  185. LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving
  186. P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
  187. Can Large Language Models Identify Authorship?
  188. Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
  189. BG-HGNN: Toward Efficient Learning for Complex Heterogeneous Graphs
  190. AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
  191. Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering
  192. Deep Submodular Peripteral Networks
  193. Validating and Exploring Large Geographic Corpora
  194. PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
  195. SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition Evaluation
  196. Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
  197. Learning-driven Physically-aware Large-scale Circuit Gate Sizing
  198. MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
  199. Embedded Translations for Low-resource Automated Glossing
  200. Automatic Speech Recognition (ASR) for the Diagnosis of pronunciation of Speech Sound Disorders in Korean children
  201. SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention
  202. Rethinking Loss Functions for Fact Verification
  203. On Tractable Phi-Equilibria in Non-Concave Games
  204. Versatile Defense Against Adversarial Attacks on Image Recognition
  205. MolBind: Multimodal Alignment of Language, Molecules, and Proteins
  206. EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech
  207. Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
  208. LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
  209. Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime
  210. Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
  211. NeRF-Supervised Feature Point Detection and Description
  212. The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
  213. The Runtime of Random Local Search on the Generalized Needle Problem
  214. Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
  215. Representing Molecules as Random Walks Over Interpretable Grammars
  216. FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics