mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 1 Nov 2024

291 papers

  1. A Review of Reinforcement Learning in Financial ApplicationsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  2. Chat Bankman-Fried: an Exploration of LLM Alignment in FinanceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  3. Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  4. SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsMixture-of-experts → Efficient MoE training and inference systems
  5. Plentiful Jailbreaks with String CompositionsLLM safety and security → Jailbreaking
  6. Effective ML Model Versioning in Edge NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  7. Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM DetectionLLM safety and security → Jailbreaking
  8. When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMsEfficient LLM inference and serving → Speculative decoding
  9. AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMsRetrieval-augmented generation → Privacy and security of RAG
  10. Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation OutputRetrieval-augmented generation → RAG robustness and adaptive retrieval
  11. MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank DecompositionMixture-of-experts → MoE large language models
  12. Enhancing Model-Based Step Adaptation for Push Recovery through Reinforcement Learning of Step Timing and RegionDeep reinforcement learning methods → RL for robot locomotion and manipulation
  13. Identifying Implicit Social Biases in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  14. Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution NetworksOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  15. SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  16. ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI AgentsWorld models → World models for language agents +2
  17. LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language ModelsMixture-of-experts → Expert routing strategies
  18. Empower Vision Applications with LoRA LMMMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  19. Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  20. Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI FeedbackLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  21. Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban SimulationLLM reasoning → Reasoning benchmarks and evaluation
  23. GameGen-X: Interactive Open-world Game Video GenerationWorld models → Video-generation world models and simulators +1
  24. Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow MatchingDiffusion models → Flow matching, time series and science
  25. Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided SamplingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  26. CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAGRetrieval-augmented generation → RAG pipeline design and evaluation
  27. Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation ModelsMechanistic interpretability → Sparse autoencoder training and evaluation
  28. Token-level Proximal Policy Optimization for Query GenerationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG +1
  29. Debiasify: Self-Distillation for Unsupervised Bias MitigationKnowledge distillation → General knowledge distillation methods
  30. Wasserstein Flow Matching: Generative modeling over families of distributionsDiffusion models → Flow matching, time series and science
  31. PrefRAG: Preference-Driven Multi-Source Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation +1
  32. Beyond the Boundaries of Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  33. MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel OptimizationMixture-of-experts → Efficient MoE training and inference systems
  34. Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software ImprovementLLM agents and tool use → Software engineering coding agents
  35. Continuous and complete liver vessel segmentation with graph-attention guided diffusionDiffusion models → Medical imaging and segmentation
  36. Provably and Practically Efficient Adversarial Imitation Learning with General Function ApproximationOffline RL and imitation learning from data → Imitation learning methods
  37. Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  38. Conditional Synthesis of 3D Molecules with Time Correction SamplerDiffusion models → Flow matching, time series and science
  39. ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language ModelsSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
  40. Zero-shot Generalization in Inventory Management: Train, then Estimate and DecideDeep reinforcement learning methods → RL for energy, networks and operations
  41. PlanScope: Learning to Plan Within Decision Scope for Urban Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  42. Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data CorruptionsOffline RL and imitation learning from data → Offline RL algorithms
  43. Defense Against Prompt Injection Attack by Leveraging Attack TechniquesLLM safety and security → Prompt injection and agent security
  44. Diffusion Models as Network Optimizers: Explorations and AnalysisDiffusion models → Diffusion for compression and wireless
  45. Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language ModelRetrieval-augmented generation → Generation and context integration
  46. E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  47. DARD: A Multi-Agent Approach for Task-Oriented Dialog SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  48. Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image EditingDiffusion models → Medical imaging and segmentation
  49. Self-Evolved Reward Learning for LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  50. HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree SearchDeep reinforcement learning methods → RL theory and sample complexity
  51. Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes TheoryDeep reinforcement learning methods → RL theory and sample complexity
  52. STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document ParsingLLM reasoning → Mathematical reasoning
  53. Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise RegularizationSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  54. GRS-QA -- Graph Reasoning-Structured Question Answering DatasetLLM reasoning → Knowledge- and tool-augmented reasoning
  55. Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel ApproachLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  56. Linearly Constrained Diffusion Implicit ModelsDiffusion models → Inverse problems and image restoration
  57. TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from ImagesDiffusion models → Inverse problems and image restoration
  58. Attention Tracker: Detecting Prompt Injection Attacks in LLMsLLM safety and security → Prompt injection and agent security
  59. StepCountJITAI: simulation environment for RL with application to physical activity adaptive interventionDeep reinforcement learning methods → RL for clinical treatment and surgery
  60. Constant Acceleration FlowDiffusion models → Flow matching, time series and science
  61. Unified Generative and Discriminative Training for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  62. Rationale-Guided Retrieval Augmented Generation for Medical Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
  63. RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  64. LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  65. Data-driven Modeling of Granular Chains with Modern Koopman Theory
  66. A Survey of Financial AI: Architectures, Advances and Open Challenges
  67. Automatically Improving LLM-based Verilog Generation using EDA Tool Feedback
  68. LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference
  69. Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
  70. Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication
  71. Demo: Multi-Modal Seizure Prediction System
  72. Learning Characteristics of Reverse Quaternion Neural Network
  73. Graph Neural Networks for Financial Fraud Detection: A Review
  74. Diffusion-based Auction Mechanism for Efficient Resource Management in 6G-enabled Vehicular Metaverses
  75. OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
  76. Strongly Topology-preserving GNNs for Brain Graph Super-resolution
  77. Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes
  78. Can LLMs make trade-offs involving stipulated pain and pleasure states?
  79. Prediction of Multiscale Features Using Deep Learning-based Preconditioner-Solver Architecture for Darcy Equation in High-Contrast Media
  80. Generative Emotion Cause Explanation in Multimodal Conversations
  81. Towards efficient and secure quantum-classical communication networks
  82. DNN Modularization via Activation-Driven Training
  83. Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
  84. An unified approach to link prediction in collaboration networks
  85. InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
  86. Combining Physics-based and Data-driven Modeling for Building Energy Systems
  87. Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
  88. BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
  89. Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
  90. MultiDepth: Multi-Sample Priors for Refining Monocular Metric Depth Estimations in Indoor Scenes
  91. Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
  92. Introduction to AI Safety, Ethics, and Society
  93. Identify Backdoored Model in Federated Learning via Individual Unlearning
  94. Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions
  95. Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  96. Provable Length Generalization in Sequence Prediction via Spectral Filtering
  97. Evaluation Metric for Quality Control and Generative Models in Histopathology Images
  98. Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula
  99. Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay
  100. FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection
All 291
  1. Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
  2. A lightweight Convolutional Neural Network based on U shape structure and Attention Mechanism for Anterior Mediastinum Segmentation
  3. A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data
  4. AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
  5. Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
  6. Automated Assessment of Residual Plots with Computer Vision Models
  7. Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
  8. Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution
  9. Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
  10. Retrieval-enriched zero-shot image classification in low-resource domains
  11. FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
  12. Inter-Feature-Map Differential Coding of Surveillance Video
  13. Testing Components of the Attention Schema Theory in Artificial Neural Networks
  14. Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO
  15. Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning
  16. Incremental IVF Index Maintenance for Streaming Vector Search
  17. Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
  18. Phenology-based learning framework for yield estimation and harvest forecasting of raspberry fruits
  19. Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring
  20. Scalable AI Framework for Defect Detection in Metal Additive Manufacturing
  21. AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces
  22. A Semiparametric Approach to Causal Inference
  23. From Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces
  24. Multiplex Imaging Analysis in Pathology: a Comprehensive Review on Analytical Approaches and Digital Toolkits
  25. Higher-Order Causal Message Passing for Experimentation with Complex Interference
  26. The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections
  27. LLMs: A Game-Changer for Software Engineers?
  28. Text2Freq: Learning Series Patterns from Text via Frequency Domain
  29. A Bregman firmly nonexpansive proximal operator for baryconvex optimization
  30. Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
  31. Comparative Evaluation of Applicability Domain Definition Methods for Regression Models
  32. Internship Report: Benchmark of Deep Learning-based Imaging PPG in Automotive Domain
  33. Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
  34. AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
  35. Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples
  36. An Efficient Self-supervised Seismic Data Reconstruction Method Based on Self-Consistency Learning
  37. On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
  38. Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
  39. Differentiable architecture search with multi-dimensional attention for spiking neural networks
  40. Intensity Field Decomposition for Tissue-Guided Neural Tomography
  41. Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
  42. Multiscale texture separation
  43. Randomized Autoregressive Visual Generation
  44. Dimension-free Private Mean Estimation for Anisotropic Distributions
  45. CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
  46. Face Anonymization Made Simple
  47. Hierarchical Transformer for Electrocardiogram Diagnosis
  48. PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
  49. Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
  50. Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations
  51. MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
  52. Autobiasing Event Cameras
  53. Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing
  54. SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task
  55. Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
  56. Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks
  57. PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
  58. B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
  59. Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
  60. ReMatching Dynamic Reconstruction Flow
  61. Extracting narrative signals from public discourse: a network-based approach
  62. Algorithmic Transparency in Forecasting Support Systems
  63. CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
  64. Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
  65. Why do we regularise in every iteration for imaging inverse problems?
  66. Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
  67. Explainable few-shot learning workflow for detecting invasive and exotic tree species
  68. TaxaBind: A Unified Embedding Space for Ecological Applications
  69. AI-based traffic analysis in digital twin networks
  70. Zipfian Whitening
  71. Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval
  72. Physics in Next-token Prediction
  73. Fast Spectrum Estimation of Some Kernel Matrices
  74. Rethinking Node Representation Interpretation through Relation Coherence
  75. Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications
  76. Phase Diagram of Vision Large Language Models Inference: A Perspective from Interaction across Image and Instruction
  77. Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
  78. Event-guided Low-light Video Semantic Segmentation
  79. Variational Neural Stochastic Differential Equations with Change Points
  80. PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
  81. Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis
  82. STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models
  83. Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
  84. ZIM: Zero-Shot Image Matting for Anything
  85. Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
  86. Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
  87. Nonparametric estimation of Hawkes processes with RKHSs
  88. Apriori_Goal algorithm for constructing association rules for a database with a given classification
  89. Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
  90. How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method
  91. Small coresets via negative dependence: DPPs, linear statistics, and concentration
  92. Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis
  93. HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices
  94. pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
  95. ConvCounsel: A Conversational Dataset for Student Counseling
  96. On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR
  97. Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy
  98. Adapting Language Models via Token Translation
  99. α-TCVAE: On the relationship between Disentanglement and Diversity
  100. Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
  101. Fairness Testing of Large Language Models in Role-Playing
  102. Federated Voxel Scene Graph for Intracranial Hemorrhage
  103. WLPlan: Relational Features for Symbolic Planning
  104. Handheld Video Document Scanning: A Robust On-Device Model for Multi-Page Document Scanning
  105. Constrained Sampling with Primal-Dual Langevin Monte Carlo
  106. PatternBoost: Constructions in Mathematics with a Little Help from AI
  107. Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products
  108. Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors
  109. Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images
  110. LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
  111. Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials
  112. Is Multiple Object Tracking a Matter of Specialization?
  113. Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics
  114. Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems
  115. 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
  116. DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
  117. MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques
  118. Comparison-based Active Preference Learning for Multi-dimensional Personalization
  119. Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective
  120. Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning
  121. Label Cluster Chains for Multi-Label Classification
  122. Cross-modal semantic segmentation for indoor environmental perception using single-chip millimeter-wave radar raw data
  123. Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
  124. Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
  125. GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
  126. Human-inspired Perspectives: A Survey on AI Long-term Memory
  127. LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO
  128. Multi Modal Information Fusion of Acoustic and Linguistic Data for Decoding Dairy Cow Vocalizations in Animal Welfare Assessment
  129. MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention
  130. Dirichlet process mixtures of block g priors for model selection and prediction in linear models
  131. MIRFLEX: Music Information Retrieval Feature Library for Extraction
  132. The learned range test method for the inverse inclusion problem
  133. Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
  134. A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines
  135. Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products
  136. ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
  137. A Lorentz-Equivariant Transformer for All of the LHC
  138. PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
  139. Integrating Fuzzy Logic into Deep Symbolic Regression
  140. Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
  141. A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
  142. On the Opportunities of Large Language Models for Programming Process Data
  143. Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
  144. Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models
  145. Black-Box Forgetting
  146. Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
  147. MoD: A Distribution-Based Approach for Merging Large Language Models
  148. Fast Adaptation with Kernel and Gradient based Meta Leaning
  149. Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation
  150. Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
  151. StyleTex: Style Image-Guided Texture Generation for 3D Models
  152. Right this way: Can VLMs Guide Us to See More to Answer Questions?
  153. Advantages of Neural Population Coding for Deep Learning
  154. Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
  155. MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
  156. Towards Data Valuation via Asymmetric Data Shapley
  157. Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
  158. DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models
  159. Generalizability of Memorization Neural Networks
  160. A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection
  161. ROSS: RObust decentralized Stochastic learning based on Shapley values
  162. A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
  163. All-frequency Full-body Human Image Relighting
  164. Classification problem in liability insurance using machine learning models: a comparative study
  165. Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review
  166. An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion
  167. On the Exploration of LM-Based Soft Modular Robot Design
  168. GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
  169. Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward, and more
  170. Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand
  171. NCST: Neural-based Color Style Transfer for Video Retouching
  172. In-situ Self-optimization of Quantum Dot Emission for Lasers by Machine-Learning Assisted Epitaxy
  173. Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification
  174. Personalized Federated Learning via Feature Distribution Adaptation
  175. How many classifiers do we need?
  176. SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation
  177. Learning to Rank Salient Content for Query-focused Summarization
  178. Forecasting Mortality in the Middle-Aged and Older Population of England: A 1D-CNN Approach
  179. C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning
  180. GPT for Games: An Updated Scoping Review (2020-2024)
  181. Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
  182. Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
  183. MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
  184. SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile
  185. Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
  186. Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
  187. KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
  188. Improving Musical Instrument Classification with Advanced Machine Learning Techniques
  189. Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
  190. Efficient Model Compression for Bayesian Neural Networks
  191. Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation