mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 4 Mar 2024

303 papers

  1. DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMsRetrieval-augmented generation → Medical and biomedical RAG
  2. Inference Acceleration for Large Language Models on CPUsEfficient LLM inference and serving → Serving systems and request scheduling
  3. JEP-KD: Joint-Embedding Predictive Architecture Based Knowledge Distillation for Visual Speech RecognitionKnowledge distillation → Speech and audio distillation
  4. Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch AttacksDiffusion models → Robustness, privacy and adversarial aspects
  5. Demolition and Reinforcement of Memories in Spin-Glass-like Neural NetworksLLM safety and security → Machine unlearning
  6. The Autonomy-Alignment Problem in Open-Ended Learning Robots: Formalising the Purpose FrameworkLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  7. Balancing Enhancement, Harmlessness, and General Capabilities: Enhancing Conversational LLMs with Direct RLHFLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  8. Trial and Error: Exploration-Based Trajectory Optimization for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  9. Enhancing LLM Safety via Constrained Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  10. Vision-Language Models for Medical Report Generation and Visual Question Answering: A ReviewMultimodal LLMs / vision-language models → Medical vision-language models
  11. A Survey on Federated Unlearning: Challenges and OpportunitiesLLM safety and security → Federated unlearning and poisoning
  12. How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE TransformersMixture-of-experts → MoE large language models
  13. Key-Point-Driven Data Synthesis with its Enhancement on Mathematical ReasoningLLM reasoning → Mathematical reasoning +1
  14. UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention ControlDiffusion models → Video generation
  15. RegionGPT: Towards Region Understanding Vision Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  16. Contrastive Region Guidance: Improving Grounding in Vision-Language Models without TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  17. Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeEfficient LLM inference and serving → Serving systems and request scheduling
  18. Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. Koopman-Assisted Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  20. Non-autoregressive Sequence-to-Sequence Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  21. PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  22. 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  23. Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language ModelsLLM reasoning → Mathematical reasoning
  24. ProTrix: Building Models for Planning and Reasoning over Tables with Sentence ContextLLM reasoning → Knowledge- and tool-augmented reasoning
  25. MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  26. Reinforcement Learning for Inverse Non-Cooperative Linear-Quadratic Output-feedback Differential GamesDeep reinforcement learning methods → RL for robot locomotion and manipulation
  27. Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential EvolutionDeep reinforcement learning methods → RL for games and combinatorial optimization
  28. Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksLLM safety and security → Membership inference attacks
  29. Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  30. ResAdapter: Domain Consistent Resolution Adapter for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  31. Large Language Model-Based Evolutionary Optimizer: Reasoning with elitismLLM reasoning → Test-time compute and efficient thinking
  32. A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI MethodsEnd-to-end autonomous driving → Cooperative and V2X driving
  33. Cross Domain Policy Transfer with Effect Cycle-ConsistencyDeep reinforcement learning methods → Deep RL algorithms and representations
  34. Improving the Downstream Performance of Mixture-of-Experts Transformers via Weak Vanilla TransformersMixture-of-experts → Expert routing strategies
  35. AS-ES Learning: Towards Efficient CoT Learning in Small ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  36. An Efficient Model-Based Approach on Learning Agile Motor Skills without ReinforcementWorld models → Latent dynamics models and model-based RL +1
  37. ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy OptimizationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  38. D'ej`aVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM ServingEfficient LLM inference and serving → KV cache optimization
  39. Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  40. Rethinking LLM Language Adaptation: A Case Study on Chinese MixtralLLM reasoning → Reasoning benchmarks and evaluation +1
  41. One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  42. Tsallis Entropy Regularization for Linear Quadratic Regulator and Kullback-Leibler ControlDeep reinforcement learning methods → RL theory and sample complexity
  43. OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-onDiffusion models → 3D, point cloud and scene generation
  44. NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of VisionLLM reasoning → Multimodal reasoning +1
  45. How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing ProblemsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  46. Differentially Private Synthetic Data via Foundation Model APIs 2: TextSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  47. Diffusion-TS: Interpretable Diffusion for General Time Series GenerationDiffusion models → Flow matching, time series and science
  48. Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery PolicyOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  49. HanDiffuser: Text-to-Image Generation With Realistic Hand AppearancesDiffusion models → Diffusion and flow policies for robotics
  50. Probabilistic Generating Circuits -- Demystified
  51. Learning to Solve Job Shop Scheduling under Uncertainty
  52. Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems
  53. Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
  54. Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role
  55. Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
  56. BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
  57. Corruption-Robust Offline Two-Player Zero-Sum Markov Games
  58. Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
  59. Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
  60. Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students
  61. Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
  62. A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
  63. Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
  64. LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset
  65. Online Training of Large Language Models: Learn while chatting
  66. TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
  67. Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models
  68. From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models
  69. Machine and deep learning methods for predicting 3D genome organization
  70. Large language models surpass human experts in predicting neuroscience results
  71. Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume
  72. Towards Calibrated Deep Clustering Network
  73. Wukong: Towards a Scaling Law for Large-Scale Recommendation
  74. Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
  75. Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
  76. Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?
  77. Density-based Isometric Mapping
  78. DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
  79. A dataset of over one thousand computed tomography scans of battery cells
  80. Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
  81. Transformer for Times Series: an Application to the S&P500
  82. HeAR -- Health Acoustic Representations
  83. SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
  84. Differentially Private Representation Learning via Image Captioning
  85. A Tutorial on the Pretrain-Finetune Paradigm for Natural Language Processing
  86. RVRAE: A Dynamic Factor Model Based on Variational Recurrent Autoencoder for Stock Returns Prediction
  87. Choose Your Own Adventure: Interactive E-Books to Improve Word Knowledge and Comprehension Skills
  88. Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
  89. Encodings for Prediction-based Neural Architecture Search
  90. Heuristic Multiobjective Discrete Optimization using Restricted Decision Diagrams
  91. A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
  92. The Emotion Dynamics of Literary Novels
  93. When do Convolutional Neural Networks Stop Learning?
  94. OffensiveLang: A Community Based Implicit Offensive Language Dataset
  95. Applied Causal Inference Powered by ML and AI
  96. The Ink Splotch Effect: A Case Study on ChatGPT as a Co-Creative Game Designer
  97. Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground
  98. Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging
  99. On Latency Predictors for Neural Architecture Search
  100. Anatomically Constrained Tractography of the Fetal Brain
All 303
  1. Root Causing Prediction Anomalies Using Explainable AI
  2. On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
  3. Towards efficient deep autoencoders for multivariate time series anomaly detection
  4. Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
  5. Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
  6. The Role of the Time-Dependent Hessian in High-Dimensional Optimization
  7. NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
  8. A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement
  9. Classification of the Fashion-MNIST Dataset on a Quantum Computer
  10. OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
  11. NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
  12. adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
  13. A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
  14. adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
  15. Human Evaluation of English--Irish Transformer-Based NMT
  16. Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
  17. Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
  18. Twisting Lids Off with Two Hands
  19. Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement Analysis
  20. Gradient Correlation Subspace Learning against Catastrophic Forgetting
  21. COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
  22. Model Lakes
  23. Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
  24. Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
  25. Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
  26. Statistical Query Lower Bounds for Learning Truncated Gaussians
  27. A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
  28. Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells
  29. Detection of Non-recorded Word Senses in English and Swedish
  30. Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health
  31. NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction
  32. RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
  33. FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
  34. Subjective textitIsms? On the Danger of Conflating Hate and Offence in Abusive Language Detection
  35. DaReNeRF: Direction-aware Representation for Dynamic Scenes
  36. KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
  37. A prediction rigidity formalism for low-cost uncertainties in trained neural networks
  38. Birbal: An efficient 7B instruct-model fine-tuned with curated datasets
  39. Better Schedules for Low Precision Training of Deep Neural Networks
  40. Neural Redshift: Random Networks are not Random Functions
  41. Towards Intent-Based Network Management: Large Language Models for Intent Extraction in 5G Core Networks
  42. Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
  43. A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
  44. Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection
  45. Policy Space Response Oracles: A Survey
  46. TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models
  47. DragTex: Generative Point-Based Texture Editing on 3D Mesh
  48. Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming
  49. Perceptive self-supervised learning network for noisy image watermark removal
  50. Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
  51. Mutual Information Estimation via Normalizing Flows
  52. Distilled ChatGPT Topic & Sentiment Modeling with Applications in Finance
  53. Not All Layers of LLMs Are Necessary During Inference
  54. EEE-QA: Exploring Effective and Efficient Question-Answer Representations
  55. What has LeBenchmark Learnt about French Syntax?
  56. Predicting large scale cosmological structure evolution with generative adversarial network-based autoencoders
  57. EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech
  58. Cognition is All You Need -- The Next Layer of AI Above Large Language Models
  59. REAL-Colon: A dataset for developing real-world AI applications in colonoscopy
  60. TripoSR: Fast 3D Object Reconstruction from a Single Image
  61. Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
  62. Max-sliced 2-Wasserstein distance
  63. Self-Supervised Facial Representation Learning with Facial Region Awareness
  64. Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
  65. UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images
  66. Using LLMs for the Extraction and Normalization of Product Attribute Values
  67. LOCR: Location-Guided Transformer for Optical Character Recognition
  68. Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models
  69. Position: Towards Implicit Prompt For Text-To-Image Models
  70. A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter
  71. Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
  72. Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio
  73. Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5
  74. VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
  75. DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
  76. Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
  77. HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration
  78. Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
  79. Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models
  80. Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
  81. Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues
  82. Deep Neural Network for Constraint Acquisition through Tailored Loss Function
  83. A Generative Approach for Wikipedia-Scale Visual Entity Recognition
  84. Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving
  85. Exponential Expressivity of ReLUk Neural Networks on Gevrey Classes with Point Singularities
  86. Active Learning of Mealy Machines with Timers
  87. Unveiling Hidden Links Between Unseen Security Entities
  88. Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
  89. Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?
  90. Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
  91. LLM-Oriented Retrieval Tuner
  92. Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction
  93. FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs
  94. Transformers for Low-Resource Languages: Is F'eidir Linn!
  95. Language and Speech Technology for Central Kurdish Varieties
  96. Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection
  97. Seeing Through Uncertainty: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation
  98. SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
  99. Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
  100. Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection
  101. Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
  102. The Heterogeneous Productivity Effects of Generative AI
  103. DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation
  104. On Fractional Moment Estimation from Polynomial Chaos Expansion
  105. A Generative Model of Symmetry Transformations
  106. Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
  107. Mitigating Label Noise on Graph via Topological Sample Selection
  108. Tree Counting by Bridging 3D Point Clouds with Imagery
  109. VariErr NLI: Separating Annotation Error from Human Label Variation
  110. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
  111. Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection
  112. IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages
  113. To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
  114. FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization
  115. Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis
  116. Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
  117. Towards Continuous Assurance Case Creation for ADS with the Evidential Tool Bus
  118. xT: Nested Tokenization for Larger Context in Large Images
  119. Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
  120. Capacity of the Hebbian-Hopfield network associative memory
  121. FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio
  122. Universality of reservoir systems with recurrent neural networks
  123. Revisiting Learning-based Video Motion Magnification for Real-time Processing
  124. Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family
  125. Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
  126. Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
  127. Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
  128. FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
  129. Locally Convex Global Loss Network for Decision-Focused Learning
  130. A Survey on Evaluation of Out-of-Distribution Generalization
  131. Map-aided annotation for pole base detection
  132. Out-of-distribution robustness for multivariate analysis via causal regularisation
  133. RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
  134. AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes
  135. CSE: Surface Anomaly Detection with Contrastively Selected Embedding
  136. An Improved Traditional Chinese Evaluation Suite for Foundation Model
  137. PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
  138. CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations
  139. NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
  140. Making Pre-trained Language Models Great on Tabular Prediction
  141. FreeA: Human-object Interaction Detection using Free Annotation Labels
  142. Model-Based Data-Centric AI: Bridging the Divide Between Academic Ideals and Industrial Pragmatism
  143. Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
  144. RT-H: Action Hierarchies Using Language
  145. Macroscopic auxiliary asymptotic preserving neural networks for the linear radiative transfer equations
  146. AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
  147. NusaBERT: Teaching IndoBERT to be Multilingual and Multicultural
  148. SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
  149. A Simple Baseline for Efficient Hand Mesh Reconstruction
  150. Enhancing Multi-Domain Automatic Short Answer Grading through an Explainable Neuro-Symbolic Pipeline
  151. ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
  152. PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features
  153. TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
  154. COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
  155. AtomoVideo: High Fidelity Image-to-Video Generation
  156. Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images
  157. Towards Fair and Efficient Learning-based Congestion Control
  158. RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
  159. Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making
  160. Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
  161. CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
  162. Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
  163. Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks
  164. WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations
  165. Improving out-of-distribution generalization in graphs via hierarchical semantic environments
  166. A Safe Screening Rule with Bi-level Optimization of nu Support Vector Machine
  167. Canonical Form of Datatic Description in Control Systems
  168. KeNet:Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification
  169. Improving Visual Perception of a Social Robot for Controlled and In-the-wild Human-robot Interaction
  170. Open-world machine learning: A review and new outlooks
  171. GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity
  172. Attention Guidance Mechanism for Handwritten Mathematical Expression Recognition
  173. Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
  174. Training-Free Pretrained Model Merging
  175. NeuSpeech: Decode Neural signal as Speech
  176. Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search
  177. DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception
  178. ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution
  179. Deep Horseshoe Gaussian Processes
  180. Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer
  181. 3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario
  182. RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
  183. Statistical Mechanics of Dynamical System Identification
  184. L0 Regularization of Field-Aware Factorization Machine through Ising Model
  185. Soft-constrained Schrodinger Bridge: a Stochastic Control Approach
  186. MCA: Moment Channel Attention Networks
  187. Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study
  188. Brilla AI: AI Contestant for the National Science and Maths Quiz
  189. Hypertext Entity Extraction in Webpage
  190. DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
  191. PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
  192. Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
  193. DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy
  194. Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
  195. CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
  196. Approximating invariant functions with the sorting trick is theoretically justified
  197. Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods
  198. Improving Adversarial Energy-Based Model via Diffusion Process
  199. PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network
  200. Geometry and Stability of Supervised Learning Problems
  201. Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
  202. Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals
  203. Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000