mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 2 May 2024

289 papers

  1. Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing NetworkDeep reinforcement learning methods → RL for energy, networks and operations
  2. Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose DataDiffusion models → Medical imaging and segmentation
  3. CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communitiesDeep reinforcement learning methods → RL for energy, networks and operations
  4. Reinforcement Learning-Guided Semi-Supervised LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  5. CGD: Constraint-Guided Diffusion Policies for UAV Trajectory PlanningDiffusion models → Diffusion and flow policies for robotics
  6. ALCM: Autonomous LLM-Augmented Causal Discovery FrameworkLLM reasoning → Causal reasoning in LLMs
  7. Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion ModelDiffusion models → Audio, speech and music
  8. SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  9. Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-RiskDeep reinforcement learning methods → RL theory and sample complexity
  10. Long Tail Image Generation Through Feature Space Augmentation and Iterated LearningDiffusion models → Diffusion foundations and sampling
  11. Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient ManipulationDeep reinforcement learning methods → Safe and constrained RL
  12. Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's ShowerthoughtsLLM reasoning → Reasoning benchmarks and evaluation
  13. Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum TuningLLM reasoning → Knowledge- and tool-augmented reasoning
  14. Hard-Thresholding Meets Evolution Strategies in Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  15. OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningLLM reasoning → Chain-of-thought reasoning for driving +2
  16. Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  17. FLAME: Factuality-Aware Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  18. D2PO: Discriminator-Guided DPO with Response Evaluation ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  19. LocInv: Localization-aware Inversion for Text-Guided Image EditingDiffusion models → Image generation, text-to-image and editing
  20. Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  21. MANTIS: Interleaved Multi-Image Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. NeMo-Aligner: Scalable Toolkit for Efficient Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  23. Understanding Figurative Meaning through Explainable Visual EntailmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  24. IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  25. Understanding Retrieval-Augmented Task Adaptation for Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  26. StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video GenerationDiffusion models → Video generation
  27. MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D PriorsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  28. The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened InsightsLLM reasoning → Reasoning benchmarks and evaluation
  29. Constrained Reinforcement Learning Under Model MismatchDeep reinforcement learning methods → Safe and constrained RL
  30. Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease RemediationRetrieval-augmented generation → Time series and agricultural RAG
  31. Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  32. Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine TranslationDeep reinforcement learning methods → RL training of language and agent models
  33. TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable PlatformsState-space sequence models (S4, Mamba) → Speech and audio SSMs
  34. Boosting Jailbreak Attack with MomentumLLM safety and security → Jailbreaking
  35. Improving Membership Inference in ASR Model Auditing with Perturbed Loss FeaturesLLM safety and security → Membership inference attacks
  36. Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow PoliciesDeep reinforcement learning methods → Safe and constrained RL
  37. Tabular and Deep Reinforcement Learning for Gittins IndexDeep reinforcement learning methods → RL theory and sample complexity
  38. Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in SpaceDeep reinforcement learning methods → RL for robot locomotion and manipulation
  39. Automated Virtual Product Placement and Assessment in Images using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  40. Few Shot Class Incremental Learning using Vision-Language modelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  41. LOQA: Learning with Opponent Q-Learning AwarenessDeep reinforcement learning methods → RL for games and combinatorial optimization
  42. MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
  43. Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel FieldsDiffusion models → 3D, point cloud and scene generation
  44. S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticDeep reinforcement learning methods → RL with diffusion and flow models
  45. CACTUS: Chemistry Agent Connecting Tool-Usage to ScienceLLM agents and tool use → Medical and scientific domain agents
  46. Generative manufacturing systems using diffusion models and ChatGPTDiffusion models → Diffusion and flow policies for robotics
  47. Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit FeedbackDeep reinforcement learning methods → RL theory and sample complexity
  48. EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionDiffusion models → 3D, point cloud and scene generation
  49. A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)
  50. AI Governance and Accountability: An Analysis of Anthropic's Claude
  51. TextAge: A Curated and Diverse Text Dataset for Age Classification
  52. Sequence-to-sequence models in peer-to-peer learning: A practical application
  53. Obtaining physical layer data of latest generation networks for investigating adversary attacks
  54. KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
  55. An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
  56. Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey
  57. Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech
  58. SoMeR: Multi-View User Representation Learning for Social Media
  59. Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery
  60. QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting
  61. Early Transformers: A study on Efficient Training of Transformer Models through Early-Bird Lottery Tickets
  62. Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
  63. What makes Models Compositional? A Theoretical View: With Supplement
  64. Explainable Multi-Label Classification of MBTI Types
  65. COPAL: Continual Pruning in Large Language Generative Models
  66. Temporal assessment of malicious behaviors: application to turnout field data monitoring
  67. Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
  68. A Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attributions
  69. The Birkhoff completion of finite lattices
  70. Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy
  71. Layers of technology in pluriversal design. Decolonising language technology with the LiveLanguage initiative
  72. Quantum Machine Learning: Quantum Kernel Methods
  73. Hierarchical mixture of discriminative Generalized Dirichlet classifiers
  74. An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions
  75. Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
  76. A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law
  77. Context Steering: Controllable Personalization at Inference Time
  78. EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
  79. Multivariate Bayesian Last Layer for Regression with Uncertainty Quantification and Decomposition
  80. Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
  81. PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
  82. Large Language Models for UAVs: Current State and Pathways to the Future
  83. PVF:Understanding AI Vulnerability Against SDCs
  84. The Psychosocial Impacts of Generative AI Harms
  85. Enhancing User Experience in On-Device Machine Learning with Gated Compression Layers
  86. Question Suggestion for Conversational Shopping Assistants Using Product Metadata
  87. Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
  88. Diabetic Retinopathy Detection Using Quantum Transfer Learning
  89. Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
  90. Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
  91. Large Language Models are Inconsistent and Biased Evaluators
  92. Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
  93. Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
  94. Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps
  95. Individual Fairness Through Reweighting and Tuning
  96. Minimax Regret Learning for Data with Heterogeneous Subgroups
  97. A deep causal inference model for fully-interpretable travel behaviour analysis
  98. Privacy-aware Berrut Approximated Coded Computing for Federated Learning
  99. Optimization without Retraction on the Random Generalized Stiefel Manifold
  100. Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation
All 289
  1. SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients
  2. Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
  3. Adapting Self-Supervised Learning for Computational Pathology
  4. Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models
  5. Intelligent Switching for Reset-Free RL
  6. Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language
  7. Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations
  8. 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
  9. ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness
  10. Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
  11. Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
  12. When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX
  13. MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
  14. S4: Self-Supervised Sensing Across the Spectrum
  15. Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
  16. Explaining models relating objects and privacy
  17. A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images
  18. Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
  19. An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis
  20. Generative Active Learning for the Search of Small-molecule Protein Binders
  21. RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings
  22. Unifying and extending Precision Recall metrics for assessing generative models
  23. Automating the Analysis of Public Saliency and Attitudes towards Biodiversity from Digital Media
  24. Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
  25. Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
  26. Multi-Space Alignments Towards Universal LiDAR Segmentation
  27. Customizing Text-to-Image Models with a Single Image Pair
  28. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
  29. Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
  30. Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
  31. A separability-based approach to quantifying generalization: which layer is best?
  32. Transformer-Aided Semantic Communications
  33. Accelerating Convergence in Bayesian Few-Shot Classification
  34. PAM-UNet: Shifting Attention on Region of Interest in Medical Images
  35. Analyzing the Role of Semantic Representations in the Era of Large Language Models
  36. FeNNol: an Efficient and Flexible Library for Building Force-field-enhanced Neural Network Potentials
  37. Controllable Text Generation in the Instruction-Tuning Era
  38. Digital Twin Generators for Disease Modeling
  39. Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
  40. Common pitfalls to avoid while using multiobjective optimization in machine learning
  41. WildChat: 1M ChatGPT Interaction Logs in the Wild
  42. Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
  43. Dynamic Local Average Treatment Effects
  44. Uncertainty for Active Learning on Graphs
  45. SATO: Stable Text-to-Motion Framework
  46. Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
  47. UQA: Corpus for Urdu Question Answering
  48. Creative Problem Solving in Large Language and Vision Models -- What Would it Take?
  49. Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
  50. Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization
  51. In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
  52. Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT
  53. Goal-conditioned reinforcement learning for ultrasound navigation guidance
  54. Random Pareto front surfaces
  55. Unsupervised Flow Discovery from Task-oriented Dialogues
  56. Learning Force Control for Legged Manipulation
  57. Invariant Risk Minimization Is A Total Variation Model
  58. Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
  59. Topics in the Study of the Pragmatic Functions of Phonetic Reduction in Dialog
  60. ATOM: Attention Mixer for Efficient Dataset Distillation
  61. Dynamic Online Ensembles of Basis Expansions
  62. GAIA: A General AI Assistant for Intelligent Accelerator Operations
  63. Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
  64. Sparse multi-view hand-object reconstruction for unseen environments
  65. Community-Invariant Graph Contrastive Learning
  66. Position: Towards Resilience Against Adversarial Examples
  67. Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
  68. NeRFs in Robotics: A Survey
  69. Multi-modal Learnable Queries for Image Aesthetics Assessment
  70. Enforcing the Principle of Locality for Physical Simulations with Neural Operators
  71. Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
  72. Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion
  73. Graph is all you need? Lightweight data-agnostic neural architecture search without training
  74. Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
  75. Misclassification bounds for PAC-Bayesian sparse deep learning
  76. The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation
  77. Low-resource speech recognition and dialect identification of Irish in a multi-task framework
  78. Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
  79. Data Feminism for AI
  80. Demistifying Inference after Adaptive Experiments
  81. Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
  82. Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration
  83. The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks
  84. MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
  85. An Online Gradient-Based Caching Policy with Logarithmic Complexity and Regret Guarantees
  86. Continuously evolving rewards in an open-ended environment
  87. Causal Influence in Federated Edge Inference
  88. Identification of Entailment and Contradiction Relations for Natural Language Argumentation: A Neurosymbolic Approach
  89. Towards Consistent Object Detection via LiDAR-Camera Synergy
  90. Revisiting semi-supervised training objectives for differentiable particle filters
  91. Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
  92. Lying Graph Convolution: Learning to Lie for Node Classification Tasks
  93. Mathematics of Differential Machine Learning in Derivative Pricing and Hedging
  94. Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience
  95. RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
  96. CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
  97. DMON: A Simple yet Effective Approach for Argument Structure Learning
  98. Error-Driven Uncertainty Aware Training
  99. Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CT
  100. Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network
  101. Latent Fingerprint Matching via Dense Minutia Descriptor
  102. Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
  103. Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals
  104. Gradient-Congruity Guided Federated Sparse Training
  105. Potential Energy based Mixture Model for Noisy Label Learning
  106. Uncertainty-aware self-training with expectation maximization basis transformation
  107. GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
  108. TartuNLP at EvaLatin 2024: Emotion Polarity Detection
  109. Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI
  110. Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers
  111. SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
  112. Qualia and the Formal Structure of Meaning
  113. Why Tabular Foundation Models Should Be a Research Priority
  114. Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
  115. It Couldn't Help But Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning
  116. Detecting and clustering swallow events in esophageal long-term high-resolution manometry
  117. Lipschitz constant estimation for general neural network architectures using control tools
  118. Investigating Self-Supervised Image Denoising with Denaturation
  119. Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts
  120. Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior Modeling
  121. Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation
  122. Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors
  123. Hypergraph p-Laplacian regularization on point clouds for data interpolation
  124. Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
  125. Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
  126. Less is More: on the Over-Globalizing Problem in Graph Transformers
  127. Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination
  128. Multivariate trace estimation using quantum state space linear algebra
  129. Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification
  130. Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification
  131. Learning Multiple Object States from Actions via Large Language Models
  132. Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss
  133. Single Image Super-Resolution Based on Global-Local Information Synergy
  134. MCMS: Multi-Category Information and Multi-Scale Stripe Attention for Blind Motion Deblurring
  135. Poisoning Attacks on Federated Learning for Autonomous Driving
  136. Callico: a Versatile Open-Source Document Image Annotation Platform
  137. AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning
  138. HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images
  139. MFDS-Net: Multi-Scale Feature Depth-Supervised Network for Remote Sensing Change Detection with Global Semantic and Detail Information
  140. Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
  141. A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bands
  142. Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
  143. Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
  144. On the Universality of Self-Supervised Learning
  145. Polynomial Chaos Expanded Gaussian Process
  146. Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation
  147. CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes
  148. The Privacy Power of Correlated Noise in Decentralized Learning
  149. Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores
  150. UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
  151. Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction
  152. Network reconstruction via the minimum description length principle
  153. Non-clairvoyant Scheduling with Partial Predictions
  154. Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
  155. Efficient and Adaptive Posterior Sampling Algorithms for Bandits
  156. On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
  157. On Mechanistic Knowledge Localization in Text-to-Image Generative Models
  158. Deep Learning Models in Speech Recognition: Measuring GPU Energy Consumption, Impact of Noise and Model Quantization for Edge Deployment
  159. Spider: A Unified Framework for Context-dependent Concept Segmentation
  160. The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment
  161. Estimate the building height at a 10-meter resolution based on Sentinel data
  162. Context-Aware Clustering using Large Language Models
  163. Progressive Feedforward Collapse of ResNet Training
  164. FREE: Faster and Better Data-Free Meta-Learning
  165. LLM-AD: Large Language Model based Audio Description System
  166. On the Evaluation of Machine-Generated Reports
  167. Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation
  168. A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
  169. Language Fairness in Multilingual Information Retrieval
  170. Distillation for Multilingual Information Retrieval
  171. PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
  172. How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
  173. Efficient Compression of Multitask Multilingual Speech Models
  174. Robust Decentralized Learning with Local Updates and Gradient Tracking
  175. Deriving Lehmer and H"older means as maximum weighted likelihood estimates for the multivariate exponential family
  176. FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
  177. Foundations for Digital Twins
  178. IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
  179. SimEndoGS: Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians
  180. Recovering Labels from Local Updates in Federated Learning
  181. X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation
  182. Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition
  183. The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
  184. Modeling Empathetic Alignment in Conversation
  185. SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
  186. Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
  187. New bounds on the cohesion of complete-link and other linkage methods for agglomeration clustering
  188. Benchmarking Representations for Speech, Music, and Acoustic Events
  189. MTDT: A Multi-Task Deep Learning Digital Twin