mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 8 Jun 2023

285 papers

  1. BOOT: Data-free Distillation of Denoising Diffusion Models with BootstrappingDiffusion models → Diffusion foundations and sampling
  2. Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based TrainingKnowledge distillation → General knowledge distillation methods
  3. Prompt Injection attack against LLM-integrated ApplicationsLLM safety and security → Prompt injection and agent security
  4. Grounded Text-to-Image Synthesis with Attention RefocusingDiffusion models → Image generation, text-to-image and editing
  5. SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with BacktrackingOffline RL and imitation learning from data → Imitation learning methods
  6. ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessDiffusion models → Diffusion foundations and sampling
  7. Causal normalizing flows: from theory to practiceLLM reasoning → Causal reasoning in LLMs
  8. Improving Tuning-Free Real Image Editing with Proximal GuidanceDiffusion models → Image generation, text-to-image and editing
  9. Decoupled Prioritized Resampling for Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  10. ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated CasesLLM agents and tool use → Tool learning and function calling
  11. RETA-LLM: A Retrieval-Augmented Large Language Model ToolkitRetrieval-augmented generation → RAG pipeline design and evaluation
  12. PriSampler: Mitigating Property Inference of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  13. SyncDiffusion: Coherent Montage via Synchronized Joint DiffusionsDiffusion models → 3D, point cloud and scene generation
  14. Decision S4: Efficient Sequence-Based RL via State Spaces LayersOffline RL and imitation learning from data → Decision transformers and sequence modeling
  15. Towards Autonomous Testing Agents via Conversational Large Language ModelsLLM agents and tool use → Software engineering coding agents
  16. Non-autoregressive Conditional Diffusion Models for Time Series PredictionDiffusion models → Flow matching, time series and science
  17. Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerceMixture-of-experts → MoE for recommender systems
  18. Multi-Architecture Multi-Expert Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  19. When to Show a Suggestion? Integrating Human Feedback in AI-Assisted ProgrammingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  20. Multi-Scale And Token Mergence: Make Your ViT More EfficientEfficient LLM inference and serving → Token pruning and merging for ViTs
  21. Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  22. Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
  23. Interpreting and Improving Diffusion Models from an Optimization PerspectiveDiffusion models → Diffusion foundations and sampling
  24. Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-ExpertsMixture-of-experts → MoE large language models
  25. Phonon dynamic behaviors induced by amorphous interlayer at heterointerfaces
  26. Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
  27. Statistical relational learning and neuro-symbolic AI: what does first-order logic offer?
  28. Toward A Logical Theory Of Fairness and Bias
  29. Protein Discovery with Discrete Walk-Jump Sampling
  30. Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding
  31. The economic trade-offs of large language models: A case study
  32. Sound Explanation for Trustworthy Machine Learning
  33. Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
  34. Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation
  35. Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
  36. Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
  37. Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders
  38. Differentially Private Image Classification by Learning Priors from Random Processes
  39. LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts
  40. Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
  41. The Viability of Domain Constrained Coalition Formation for Robotic Collectives
  42. MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
  43. Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
  44. Gibbs-Based Information Criteria and the Over-Parameterized Regime
  45. A newborn embodied Turing test for view-invariant object recognition
  46. Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
  47. Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy
  48. Maximally Machine-Learnable Portfolios
  49. Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
  50. Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
  51. AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
  52. Privacy- and Utility-Preserving NLP with Anonymized Data: A case study of Pseudonymization
  53. On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
  54. Emotion and Sentiment Guided Paraphrasing
  55. Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
  56. Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks
  57. AI Enhanced Control Engineering Methods
  58. A brief review of contrastive learning applied to astrophysics
  59. Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
  60. PeFLL: Personalized Federated Learning by Learning to Learn
  61. Robust Brain Age Estimation via Regression Models and MRI-derived Features
  62. Robust Explainer Recommendation for Time Series Classification
  63. Monte Carlo inference for semiparametric Bayesian regression
  64. Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
  65. Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks
  66. Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
  67. Multi-Modal Classifiers for Open-Vocabulary Object Detection
  68. Learnability with PAC Semantics for Multi-agent Beliefs
  69. Boosting with Tempered Exponential Measures
  70. Task-specific experimental design for treatment effect estimation
  71. On the Importance of Exploration for Generalization in Reinforcement Learning
  72. Artificial General Intelligence for Medical Imaging Analysis
  73. Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios
  74. Hexatagging: Projective Dependency Parsing as Tagging
  75. A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
  76. Latent Phrase Matching for Dysarthric Speech
  77. Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
  78. PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
  79. FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
  80. Contrastive Representation Disentanglement for Clustering
  81. DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
  82. One-step Multi-view Clustering with Diverse Representation
  83. Background Prompting for Improved Object Depth
  84. MIMIC-IT: Multi-Modal In-Context Instruction Tuning
  85. Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
  86. Tracking Everything Everywhere All at Once
  87. Stochastic Multi-Person 3D Motion Forecasting
  88. Scaling Spherical CNNs
  89. TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture
  90. Weakly Supervised 3D Object Detection with Multi-Stage Generalization
  91. Tracking Objects with 3D Representation from Videos
  92. R-MAE: Regions Meet Masked Autoencoders
  93. LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
  94. SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
  95. Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
  96. RDumb: A simple approach that questions our progress in continual test-time adaptation
  97. Matting Anything
  98. Modular Visual Question Answering via Code Generation
  99. HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
  100. Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age
All 285
  1. Image Blending Algorithm with Automatic Mask Generation
  2. Ordinal Potential-based Player Rating
  3. Subject clustering by IF-PCA and several recent methods
  4. The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
  5. Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
  6. ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
  7. Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
  8. A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
  9. Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
  10. Actively learning a Bayesian matrix fusion model with deep side information
  11. Federated Learning under Covariate Shifts with Generalization Guarantees
  12. Advancing Italian Biomedical Information Extraction with Transformers-based Models: Methodological Insights and Multicenter Practical Application
  13. Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
  14. KIT's Multilingual Speech Translation System for IWSLT 2023
  15. RNN-Based GNSS Positioning using Satellite Measurement Features and Pseudorange Residuals
  16. CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
  17. Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings
  18. A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments
  19. Are fairness metric scores enough to assess discrimination biases in machine learning?
  20. Bayesian Optimisation of Functions on Graphs
  21. Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance Fields
  22. Anti-Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances in Flat Directions
  23. Habits of Mind: Reusing Action Sequences for Efficient Planning
  24. Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
  25. Safe Collaborative Filtering
  26. Simple and Controllable Music Generation
  27. Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
  28. Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction
  29. Federated Linear Contextual Bandits with User-level Differential Privacy
  30. Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
  31. Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes
  32. Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  33. EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
  34. Representing and Learning Functions Invariant Under Crystallographic Groups
  35. Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
  36. Unscented Autoencoder
  37. Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
  38. Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
  39. A Task-driven Network for Mesh Classification and Semantic Part Segmentation
  40. Matching Latent Encoding for Audio-Text based Keyword Spotting
  41. Efficient Multi-Task Scene Analysis with RGB-D Transformers
  42. Dealing with Semantic Underspecification in Multimodal NLP
  43. Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
  44. SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
  45. Population-Based Evolutionary Gaming for Unsupervised Person Re-identification
  46. Ownership Protection of Generative Adversarial Networks
  47. Boosting Adversarial Transferability by Achieving Flat Local Maxima
  48. Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
  49. Channel prior convolutional attention for medical image segmentation
  50. EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
  51. On the Identification and Optimization of Nonsmooth Superposition Operators in Semilinear Elliptic PDEs
  52. Improving Long Context Document-Level Machine Translation
  53. Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics
  54. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
  55. RRWKV: Capturing Long-range Dependencies in RWKV
  56. Large-scale Dataset Pruning with Dynamic Uncertainty
  57. FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
  58. Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures
  59. Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming
  60. Bayesian Optimization of Expensive Nested Grey-Box Functions
  61. Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose
  62. Variable Radiance Field for Real-World Category-Specific Reconstruction from Single Image
  63. Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
  64. Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
  65. Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
  66. Does Image Anonymization Impact Computer Vision Training?
  67. Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
  68. Focus for Free in Density-Based Counting
  69. Mapping Brains with Language Models: A Survey
  70. A Meta-Generation framework for Industrial System Generation
  71. Explainable Predictive Maintenance
  72. Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework
  73. On Search Strategies for Document-Level Neural Machine Translation
  74. Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media
  75. FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
  76. Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
  77. Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
  78. Unsupervised augmentation optimization for few-shot medical image segmentation
  79. Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
  80. Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
  81. Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting
  82. A review of UAV Visual Detection and Tracking Methods
  83. The ART of Conversation: Measuring Phonetic Convergence and Deliberate Imitation in L2-Speech with a Siamese RNN
  84. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
  85. Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS
  86. The Importance of Time in Causal Algorithmic Recourse
  87. Enhancing Robustness of AI Offensive Code Generators via Data Augmentation
  88. Improving Language Model Integration for Neural Machine Translation
  89. DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models
  90. LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
  91. A Causal Framework for Decomposing Spurious Variations
  92. Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs
  93. Shedding light on underrepresentation and Sampling Bias in machine learning
  94. Improving Visual Prompt Tuning for Self-supervised Vision Transformers
  95. Causal Fairness for Outcome Control
  96. K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
  97. A Dynamic Feature Interaction Framework for Multi-task Visual Perception
  98. Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
  99. Reconciling Predictive and Statistical Parity: A Causal Approach
  100. Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
  101. Magnitude Attention-based Dynamic Pruning
  102. Active Inference in Hebbian Learning Networks
  103. Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models
  104. A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
  105. Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information
  106. Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators
  107. Normalization-Equivariant Neural Networks with Application to Image Denoising
  108. Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale
  109. Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
  110. Log-based Anomaly Detection based on EVT Theory with feedback
  111. Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
  112. Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification
  113. Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
  114. Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition
  115. Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
  116. Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
  117. Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
  118. Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring
  119. VIFS: An End-to-End Variational Inference for Foley Sound Synthesis
  120. A Rapid Review of Responsible AI frameworks: How to guide the development of ethical AI
  121. COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation
  122. Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network
  123. T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
  124. Ambulance Demand Prediction via Convolutional Neural Networks
  125. StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views
  126. Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
  127. G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering
  128. Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models
  129. CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
  130. Conservative Prediction via Data-Driven Confidence Minimization
  131. A Melting Pot of Evolution and Learning
  132. Actively Supervised Clustering for Open Relation Extraction
  133. Leveraging Language Identification to Enhance Code-Mixed Text Classification
  134. arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
  135. Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
  136. FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
  137. IFaceUV: Intuitive Motion Facial Image Generation by Identity Preservation via UV map
  138. Adaptive Fake Audio Detection with Low-Rank Model Squeezing
  139. Degraded Polygons Raise Fundamental Questions of Neural Network Perception
  140. RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
  141. Entropy-based Training Methods for Scalable Neural Implicit Sampler
  142. Open Set Relation Extraction via Unknown-Aware Training
  143. Robust Learning with Progressive Data Expansion Against Spurious Correlation
  144. ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis
  145. Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
  146. A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics
  147. LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
  148. Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering
  149. On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
  150. InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
  151. An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection
  152. covLLM: Large Language Models for COVID-19 Biomedical Literature
  153. Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
  154. Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
  155. Unconstrained Online Learning with Unbounded Losses
  156. Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
  157. A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing
  158. Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
  159. ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation
  160. An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks
  161. NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing
  162. A Cover Time Study of a non-Markovian Algorithm
  163. Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
  164. Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
  165. Understanding Masked Autoencoders via Hierarchical Latent Variable Models
  166. Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty
  167. A Bayesian Framework for learning governing Partial Differential Equation from Data
  168. Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
  169. In-Context Learning through the Bayesian Prism
  170. ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering
  171. Big-data-driven and AI-based framework to enable personalization in wireless networks
  172. Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction
  173. Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling
  174. Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization
  175. TRIGS: Trojan Identification from Gradient-based Signatures
  176. Expanding Scope: Adapting English Adversarial Attacks to Chinese
  177. MyStyle++: A Controllable Personalized Generative Prior
  178. A Systematic Literature Review on Client Selection in Federated Learning
  179. Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks
  180. ScaleDet: A Scalable Multi-Dataset Object Detector
  181. Embedding stochastic differential equations into neural networks via dual processes
  182. Learned spatial data partitioning
  183. Classical Verification of Quantum Learning
  184. InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
  185. Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment