mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 6 Feb 2024

334 papers

  1. An Architecture for Unattended Containerized (Deep) Reinforcement Learning with WebotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  2. Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampeningLLM safety and security → Machine unlearning
  3. Weather Prediction with Diffusion Guided by Realistic Forecast ProcessesDiffusion models → Flow matching, time series and science
  4. The Essential Role of Causality in Foundation World Models for Embodied AIWorld models → World models for navigation
  5. LLM Agents can Autonomously Hack WebsitesLLM agents and tool use → Agent threats, guardrails and governance
  6. Personalized Language Modeling from Personalized Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  7. DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite AutomatonRetrieval-augmented generation → Conversational and speech RAG
  8. Denoising Diffusion Probabilistic Models in Six Simple StepsDiffusion models → Diffusion foundations and sampling
  9. Bidirectional Autoregressive Diffusion Model for Dance GenerationDiffusion models → Audio, speech and music
  10. ConsistI2V: Enhancing Visual Consistency for Image-to-Video GenerationWorld models → Video-generation world models and simulators
  11. AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based PoliciesOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  12. AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API CallsLLM agents and tool use → Tool learning and function calling
  13. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalLLM safety and security → Prompt injection and agent security
  14. Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning TasksState-space sequence models (S4, Mamba) → Core SSM architectures for language
  15. CogCoM: A Visual Language Model with Chain-of-Manipulations ReasoningLLM reasoning → Multimodal reasoning +1
  16. Can Generative Agents Predict Emotion?LLM agents and tool use → Social simulation and multi-agent debate
  17. MusicRL: Aligning Music Generation to Human PreferencesLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  18. Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent BehaviorsLLM agents and tool use → Multimodal and embodied agents
  19. Reinforcement Learning with Ensemble Model Predictive Safety CertificationDeep reinforcement learning methods → Safe and constrained RL
  20. SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  21. Informed Reinforcement Learning for Situation-Aware Traffic Rule ExceptionsDeep reinforcement learning methods → RL for autonomous driving and traffic
  22. Read to Play (R2-Play): Decision Transformer with Multimodal Game InstructionOffline RL and imitation learning from data → Decision transformers and sequence modeling
  23. Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)LLM reasoning → Reasoning for agents, planning and code
  24. U-shaped Vision Mamba for Single Image DehazingState-space sequence models (S4, Mamba) → Mamba for image restoration
  25. Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  26. TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  27. Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  28. Systematic Biases in LLM Simulations of DebatesLLM agents and tool use → Social simulation and multi-agent debate
  29. Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced SegmentationDiffusion models → Medical imaging and segmentation
  30. Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of ThoughtLLM reasoning → Reasoning benchmarks and evaluation
  31. In-context learning agents are asymmetric belief updatersLLM agents and tool use → General LLM agent frameworks and benchmarks
  32. Reinforcement Learning for Collision-free Flight Exploiting Deep Collision EncodingDeep reinforcement learning methods → RL for robot navigation and UAV control
  33. Discovering and Reasoning of Causality in the Hidden World with Large Language ModelsLLM reasoning → Causal reasoning in LLMs
  34. Return-Aligned Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  35. EscherNet: A Generative Model for Scalable View SynthesisDiffusion models → 3D, point cloud and scene generation
  36. Averaging n-step Returns Reduces Variance in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  37. DistiLLM: Towards Streamlined Distillation for Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  38. Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and EfficiencyEnd-to-end autonomous driving → End-to-end system architecture
  39. Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  40. Challenges in Mechanistically Interpreting Model RepresentationsMechanistic interpretability → Circuits and mechanistic analysis
  41. On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion modelsDiffusion models → Diffusion foundations and sampling
  42. Rethinking Skill Extraction in the Job Market Domain using Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  43. OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
  44. SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal DenoisingDiffusion models → Medical imaging and segmentation
  45. SEABO: A Simple Search-Based Method for Offline Imitation LearningOffline RL and imitation learning from data → Imitation learning methods +1
  46. No-Regret Reinforcement Learning in Smooth MDPsDeep reinforcement learning methods → RL theory and sample complexity
  47. Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt LearningMultimodal LLMs / vision-language models → Medical vision-language models
  48. Reinforcement Learning from Bagged RewardDeep reinforcement learning methods → RL theory and sample complexity
  49. MobileVLM V2: Faster and Stronger Baseline for Vision Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  50. The Instinctive Bias: Spurious Images lead to Illusion in MLLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  51. QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language ModelSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
  52. Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  53. Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI FeedbackMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  54. Similarity-based Neighbor Selection for Graph LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
  55. FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware DistributionDiffusion models → Robustness, privacy and adversarial aspects
  56. Unified Discrete Diffusion for Categorical DataDiffusion models → Diffusion foundations and sampling
  57. Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationDiffusion models → Flow matching, time series and science
  58. Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment VerificationLLM reasoning → Reasoning benchmarks and evaluation
  59. RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model FeedbackMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  60. Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsDeep reinforcement learning methods → Interpretable and logic-guided RL
  61. Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  62. QuEST: Low-bit Diffusion Model Quantization via Efficient Selective FinetuningDiffusion models → Diffusion foundations and sampling
  63. Symbol Correctness in Deep Neural Networks Containing Symbolic LayersLLM reasoning → Reasoning benchmarks and evaluation
  64. Transductive Reward Inference on GraphOffline RL and imitation learning from data → Offline RL algorithms +1
  65. CAMBranch: Contrastive Learning with Augmented MILPs for BranchingOffline RL and imitation learning from data → Imitation learning methods
  66. Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A SitesRetrieval-augmented generation → Multimodal RAG
  67. Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level CompetenciesLLM agents and tool use → General LLM agent frameworks and benchmarks
  68. Partially Recentralization Softmax Loss for Vision-Language Models RobustnessMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  69. Self-Discover: Large Language Models Self-Compose Reasoning StructuresLLM reasoning → Test-time compute and efficient thinking
  70. RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
  71. DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations
  72. A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
  73. Effective anytime algorithm for multiobjective combinatorial optimization problems
  74. Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
  75. Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
  76. Monitoring the evolution of antisemitic discourse on extremist social media using BERT
  77. AI for non-programmers: Applied AI in the lectures for students without programming skills
  78. Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data
  79. Enhancing Retrieval Processes for Language Generation with Augmented Queries
  80. Context-Aware Automated Passenger Counting Data Denoising
  81. Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations
  82. A Human-Machine Collaboration Framework for the Development of Schemas
  83. Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface
  84. Sign Rank Limitations for Inner Product Graph Decoders
  85. Limits of Large Language Models in Debating Humans
  86. Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective
  87. Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
  88. Breaking Symmetry When Training Transformers
  89. Tensor Completion via Integer Optimization
  90. Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
  91. SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
  92. LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
  93. LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K
  94. CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
  95. Embedding Knowledge Graphs in Degenerate Clifford Algebras
  96. Detecting Mode Collapse in Language Models via Narration
  97. Dual-View Visual Contextualization for Web Navigation
  98. IoT Network Traffic Analysis with Deep Learning
  99. DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
  100. Towards Deterministic End-to-end Latency for Medical AI Systems in NVIDIA Holoscan
All 334
  1. BAdaCost: Multi-class Boosting with Costs
  2. Ten Hard Problems in Artificial Intelligence We Must Get Right
  3. The Potential of AutoML for Recommender Systems
  4. Pushing the limits of cell segmentation models for imaging mass cytometry
  5. Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
  6. Exploring higher-order neural network node interactions with total correlation
  7. Learning to Extract Structured Entities Using Language Models
  8. Continuous Multidimensional Scaling
  9. PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
  10. Fast Online Changepoint Detection
  11. Quantitative Metrics for Benchmarking Medical Image Harmonization
  12. Studying Vulnerable Code Entities in R
  13. Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways
  14. What limits performance of weakly supervised deep learning for chest CT classification?
  15. Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
  16. Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
  17. The VampPrior Mixture Model
  18. Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning
  19. Detection Transformer for Teeth Detection, Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques
  20. Edge-Parallel Graph Encoder Embedding
  21. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
  22. CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines
  23. Learning under Temporal Label Noise
  24. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
  25. Densely Multiplied Physics Informed Neural Networks
  26. FairWire: Fair Graph Generation
  27. Counterfactual Generation with Answer Set Programming
  28. Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
  29. NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems
  30. Scaling laws for learning with real and surrogate data
  31. Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
  32. The World of Generative AI: Deepfakes and Large Language Models
  33. Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception
  34. Neural Networks Learn Statistics of Increasing Complexity
  35. Adaptive Inference: Theoretical Limits and Unexplored Opportunities
  36. PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
  37. 3D printer-controlled syringe pumps for dual, active, regulable and simultaneous dispensing of reagents. Manufacturing of immunochromatographic test strips
  38. The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
  39. Does confidence calibration improve conformal prediction?
  40. Logical recognition method for solving the problem of identification in the Internet of Things
  41. LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
  42. LESS: Selecting Influential Data for Targeted Instruction Tuning
  43. Personality Trait Recognition using ECG Spectrograms and Deep Learning
  44. Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons
  45. Training Language Models to Generate Text with Citations via Fine-grained Rewards
  46. Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review
  47. Multi-View Symbolic Regression
  48. Road Surface Defect Detection -- From Image-based to Non-image-based: A Survey
  49. LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100× Faster Inference
  50. BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  51. CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
  52. Progress and Opportunities of Foundation Models in Bioinformatics
  53. PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
  54. Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources
  55. EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
  56. Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
  57. Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
  58. CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers
  59. Intelligent Collective Escape of Swarm Robots Based on a Novel Fish-inspired Self-adaptive Approach with Neurodynamic Models
  60. What is "Typological Diversity" in NLP?
  61. Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
  62. Probabilistic Shapley Value Modeling and Inference
  63. Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study
  64. Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
  65. Instance by Instance: An Iterative Framework for Multi-instance 3D Registration
  66. Gradient Coding in Decentralized Learning for Evading Stragglers
  67. Scaling Laws for Downstream Task Performance of Large Language Models
  68. COPS: A Compact On-device Pipeline for real-time Smishing detection
  69. 3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN
  70. Tempered Calculus for ML: Application to Hyperbolic Model Embedding
  71. Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
  72. Harnessing the Plug-and-Play Controller by Prompting
  73. Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process
  74. Multi-line AI-assisted Code Authoring
  75. OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
  76. A quantitative analysis of knowledge-learning preferences in large language models in molecular science
  77. SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
  78. Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs
  79. Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems
  80. Measuring Implicit Bias in Explicitly Unbiased Large Language Models
  81. An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market
  82. Use of Multi-CNNs for Section Analysis in Static Malware Detection
  83. VRMM: A Volumetric Relightable Morphable Head Model
  84. Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
  85. The Use of a Large Language Model for Cyberbullying Detection
  86. A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
  87. Provably learning a multi-head attention layer
  88. An Optimal House Price Prediction Algorithm: XGBoost
  89. Improved Generalization of Weight Space Networks via Augmentations
  90. Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models
  91. Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification
  92. Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing
  93. Link Prediction with Relational Hypergraphs
  94. Deep Learning for Multivariate Time Series Imputation: A Survey
  95. More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
  96. Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
  97. Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes
  98. PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
  99. On provable privacy vulnerabilities of graph representations
  100. ProactivePIM: Accelerating Weight-Sharing Embedding Layer with PIM for Scalable Recommendation System
  101. Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory
  102. Positive concave deep equilibrium models
  103. AlbNews: A Corpus of Headlines for Topic Modeling in Albanian
  104. Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication
  105. Beyond State Space Representation: A General Theory for Kernel Packets
  106. Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses
  107. Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
  108. Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning
  109. Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
  110. Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
  111. Space Group Constrained Crystal Generation
  112. Provable Emergence of Deep Neural Collapse and Low-Rank Bias in L2-Regularized Nonlinear Networks
  113. Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
  114. YOLOPoint Joint Keypoint and Object Detection
  115. REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
  116. A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
  117. On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
  118. Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting
  119. Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
  120. A comparison between humans and AI at recognizing objects in unusual poses
  121. Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
  122. Tabular Data: Is Deep Learning all you need?
  123. On dimensionality of feature vectors in MPNNs
  124. Position: Stop Making Unscientific AGI Performance Claims
  125. Sparse Graph Representations for Procedural Instructional Documents
  126. Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
  127. Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
  128. Fully autonomous tuning of a spin qubit
  129. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
  130. Large Language Models to Enhance Bayesian Optimization
  131. Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
  132. Can Large Language Models Detect Rumors on Social Media?
  133. Learning Metrics that Maximise Power for Accelerated A/B-Tests
  134. Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy
  135. Employee Turnover Analysis Using Machine Learning Algorithms
  136. Deep Frequency-Aware Functional Maps for Robust Shape Matching
  137. A phase transition between positional and semantic learning in a solvable model of dot-product attention
  138. Batch Universal Prediction
  139. Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding
  140. Multimodal Rationales for Explainable Visual Question Answering
  141. Shifting social norms as a driving force for linguistic change: Struggles about language and gender in the German Bundestag
  142. MOMENT: A Family of Open Time-series Foundation Models
  143. A Framework for Bilevel Optimization on Riemannian Manifolds
  144. Geometric quantum machine learning of BQPA protocols and latent graph classifiers
  145. Less than one percent of words would be affected by gender-inclusive language in German press texts
  146. The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
  147. ANLS* -- A Universal Document Processing Metric for Generative Large Language Models
  148. Efficient Generation of Hidden Outliers for Improved Outlier Detection
  149. A new method for optical steel rope non-destructive damage detection
  150. Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation
  151. Random features models: a way to study the success of naive imputation
  152. Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
  153. A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link
  154. Estimating Barycenters of Distributions with Neural Optimal Transport
  155. A call for embodied AI
  156. RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
  157. Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
  158. Asymptotic generalization error of a single-layer graph convolutional network
  159. Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression
  160. Masked Graph Autoencoder with Non-discrete Bandwidths
  161. NK Hybrid Genetic Algorithm for Clustering
  162. Combining additivity and active subspaces for high-dimensional Gaussian process modeling
  163. Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering
  164. ReLU2 Wins: Discovering Efficient Activation Functions for Sparse LLMs
  165. Face Detection: Present State and Research Directions
  166. Energy-based Domain-Adaptive Segmentation with Depth Guidance
  167. Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
  168. AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
  169. Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
  170. MolTC: Towards Molecular Relational Modeling In Language Models
  171. Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification
  172. EERO: Early Exit with Reject Option for Efficient Classification with limited budget
  173. Large Language Models As MOOCs Graders
  174. Learning a Decision Tree Algorithm with Transformers
  175. Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes
  176. AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection
  177. MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction
  178. Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery
  179. Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
  180. Intensive Vision-guided Network for Radiology Report Generation
  181. Enhanced sampling of robust molecular datasets with uncertainty-based collective variables
  182. Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images
  183. Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
  184. An invariance constrained deep learning network for PDE discovery
  185. INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
  186. SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
  187. BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning
  188. AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration
  189. Differentially Private High Dimensional Bandits
  190. An Effective Branch-and-Bound Algorithm with New Bounding Methods for the Maximum s-Bundle Problem
  191. Deep Outdated Fact Detection in Knowledge Graphs
  192. Consistent Joint Decision-Making with Heterogeneous Learning Models
  193. Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
  194. Statistical Test for Anomaly Detections by Variational Auto-Encoders
  195. Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
  196. Empowering Language Models with Active Inquiry for Deeper Understanding
  197. Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
  198. Clarify: Improving Model Robustness With Natural Language Corrections
  199. Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices
  200. Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience
  201. SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite Images
  202. MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
  203. GenLens: A Systematic Evaluation of Visual GenAI Model Outputs
  204. Automatic Robotic Development through Collaborative Framework by Large Language Models
  205. Estimating the Local Learning Coefficient at Scale
  206. SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
  207. ConUNETR: A Conditional Transformer Network for 3D Micro-CT Embryonic Cartilage Segmentation
  208. FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence
  209. 3Doodle: Compact Abstraction of Objects with 3D Strokes
  210. A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
  211. Effective Protein-Protein Interaction Exploration with PPIretrieval
  212. Partial Gromov-Wasserstein Metric
  213. On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
  214. Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
  215. Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue
  216. Operator SVD with Neural Networks via Nested Low-Rank Approximation
  217. Reviewing FID and SID Metrics on Generative Adversarial Networks
  218. Temporal Graph Analysis with TGX
  219. Multilinear Kernel Regression and Imputation via Manifold Learning
  220. Lens: A Knowledge-Guided Foundation Model for Network Traffic
  221. Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation
  222. torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem
  223. Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
  224. CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
  225. Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
  226. Disparate Impact on Group Accuracy of Linearization for Private Inference
  227. Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
  228. Neural Network Approximators for Marginal MAP in Probabilistic Circuits
  229. Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
  230. Leveraging Large Language Models for Hybrid Workplace Decision Support
  231. Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
  232. Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
  233. Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
  234. GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation