mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 30 Oct 2023

310 papers

  1. Synthetic Imitation Edit Feedback for Factual Alignment in Clinical SummarizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Scaling Riemannian Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  3. GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned ModelsOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  4. Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials designRetrieval-augmented generation → Medical and biomedical RAG +1
  5. Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic ReasoningLLM reasoning → Audio-language model reasoning +1
  6. 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable DiffusionDiffusion models → Image generation, text-to-image and editing
  7. Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic modelDiffusion models → Flow matching, time series and science
  8. DiffEnc: Variational Diffusion with a Learned EncoderDiffusion models → Diffusion foundations and sampling
  9. What's "up" with vision-language models? Investigating their struggle with spatial reasoningLLM reasoning → Spatial and embodied reasoning +1
  10. CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  11. Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Chain-of-Thought Embeddings for Stance Detection on Social MediaLLM reasoning → Causal reasoning in LLMs
  13. Differentially Private Reward Estimation with Preference FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  14. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  15. Improving Medical Visual Representations via Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
  16. Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion ModelDiffusion models → Audio, speech and music
  17. Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningLLM reasoning → Audio-language model reasoning
  18. IterInv: Iterative Inversion for Pixel-Level T2I ModelsDiffusion models → Image generation, text-to-image and editing
  19. Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive RecommendationOffline RL and imitation learning from data → Inverse reinforcement learning
  20. VideoCrafter1: Open Diffusion Models for High-Quality Video GenerationDiffusion models → Video generation
  21. SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group SparsityEfficient LLM inference and serving → Early exit and edge inference
  22. Optimize Planning Heuristics to Rank, not to Estimate Cost-to-GoalOffline RL and imitation learning from data → Imitation learning methods
  23. Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless CommunicationsDiffusion models → Diffusion for compression and wireless
  24. One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  25. Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible PlansDiffusion models → Diffusion and flow policies for robotics
  26. Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settingsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  27. Text-to-3D with Classifier Score DistillationDiffusion models → 3D, point cloud and scene generation
  28. Generated Distributions Are All You Need for Membership Inference Attacks Against Generative ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  29. Improving Factual Consistency of News Summarization by Contrastive Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  30. D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionDiffusion models → Flow matching, time series and science
  31. ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common SenseLLM reasoning → Multimodal reasoning +1
  32. Fusing Temporal Graphs into Transformers for Time-Sensitive Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  33. EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  34. IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AIDiffusion models → Robustness, privacy and adversarial aspects
  35. Exploring Federated Unlearning: Review, Comparison, and InsightsLLM safety and security → Federated unlearning and poisoning
  36. Open Domain Knowledge Extraction for Knowledge Graphs
  37. The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
  38. Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI
  39. SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
  40. A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
  41. Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
  42. A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
  43. KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations
  44. Faithful and Robust Local Interpretability for Textual Predictions
  45. Leveraging Language Models to Detect Greenwashing
  46. Remember what you did so you know what to do next
  47. Role of Structural and Conformational Diversity for Machine Learning Potentials
  48. Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
  49. Facial asymmetry: A Computer Vision based behaviometric index for assessment during a face-to-face interview
  50. Efficient Subgraph GNNs by Learning Effective Selection Policies
  51. Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models
  52. Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors
  53. Partial Tensorized Transformers for Natural Language Processing
  54. Meek Separators and Their Applications in Targeted Causal Discovery
  55. Automatic Evaluation of Generative Models with Instruction Tuning
  56. FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
  57. Vignat: Vulnerability identification by learning code semantics via graph attention networks
  58. LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
  59. A Scalable Training Strategy for Blind Multi-Distribution Noise Removal
  60. Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web
  61. AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
  62. Concept Alignment as a Prerequisite for Value Alignment
  63. SolarFormer: Multi-scale Transformer for Solar PV Profiling
  64. Constrained Hierarchical Monte Carlo Belief-State Planning
  65. Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo
  66. Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning
  67. The Expressibility of Polynomial based Attention Scheme
  68. SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
  69. Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection
  70. Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation
  71. Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach
  72. Multiscale Feature Attribution for Outliers
  73. Evolutionary Tabletop Game Design: A Case Study in the Risk Game
  74. Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
  75. Early Detection of Depression and Eating Disorders in Spanish: UNSL at MentalRiskES 2023
  76. Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
  77. PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices
  78. Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?
  79. Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
  80. Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
  81. BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
  82. Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy
  83. Strategies to Harness the Transformers' Potential: UNSL at eRisk 2023
  84. Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records
  85. ExPT: Synthetic Pretraining for Few-Shot Experimental Design
  86. Topological Learning for Motion Data via Mixed Coordinates
  87. PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
  88. Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges
  89. The Impact of Depth on Compositional Generalization in Transformer Language Models
  90. Conditional Unscented Autoencoders for Trajectory Prediction
  91. The Acquisition of Physical Knowledge in Generative Neural Networks
  92. Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications
  93. Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller
  94. Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?
  95. Sim2Real for Environmental Neural Processes
  96. Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
  97. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
  98. Solving a Class of Cut-Generating Linear Programs via Machine Learning
  99. Meta-Learning Strategies through Value Maximization in Neural Networks
  100. Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
All 310
  1. GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models
  2. Bayesian Simulation-based Inference for Cosmological Initial Conditions
  3. Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
  4. Interpretable Prototype-based Graph Information Bottleneck
  5. Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer
  6. MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder
  7. Exploring Geometry of Blind Spots in Vision Models
  8. BTRec: BERT-Based Trajectory Recommendation for Personalized Tours
  9. Learning quantum states and unitaries of bounded gate complexity
  10. Metric Flows with Neural Networks
  11. Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
  12. Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
  13. Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model
  14. AI Alignment: A Comprehensive Survey
  15. Efficient Exploration in Continuous-time Model-based Reinforcement Learning
  16. Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction
  17. Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach
  18. Musical Form Generation
  19. An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions
  20. DEFT: Dexterous Fine-Tuning for Real-World Hand Policies
  21. Re-evaluating Retrosynthesis Algorithms with Syntheseus
  22. SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  23. Robust Causal Bandits for Linear Models
  24. On Learning Gaussian Multi-index Models with Gradient Flow
  25. The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
  26. LILO: Learning Interpretable Libraries by Compressing and Documenting Code
  27. Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
  28. eRPCA: Robust Principal Component Analysis for Exponential Family Distributions
  29. From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces
  30. Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review
  31. Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
  32. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
  33. MM-VID: Advancing Video Understanding with GPT-4V(ision)
  34. Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas
  35. Autoregressive Renaissance in Neural PDE Solvers
  36. Epidemic outbreak prediction using machine learning models
  37. Tell Me What Is Good About This Property: Leveraging Reviews For Segment-Personalized Image Collection Summarization
  38. Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
  39. Adversarial Attacks and Defenses in Large Language Models: Old and New Threats
  40. Evaluating Large Language Models: A Comprehensive Survey
  41. ViR: Towards Efficient Vision Retention Backbones
  42. Generating Medical Prescriptions with Conditional Transformer
  43. A Path to Simpler Models Starts With Noise
  44. Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models
  45. Support matrix machine: A review
  46. Combining Language Models For Specialized Domains: A Colorful Approach
  47. A Survey on Knowledge Editing of Neural Networks
  48. When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
  49. Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions
  50. Convolutional State Space Models for Long-Range Spatiotemporal Modeling
  51. Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
  52. Towards Practical Non-Adversarial Distribution Matching
  53. Sentiment Analysis in Digital Spaces: An Overview of Reviews
  54. Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients
  55. DGFN: Double Generative Flow Networks
  56. Density Estimation for Entry Guidance Problems using Deep Learning
  57. An Online Bootstrap for Time Series
  58. Integrating Pre-trained Language Model into Neural Machine Translation
  59. HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding
  60. A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
  61. Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
  62. DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
  63. Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
  64. Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck
  65. Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection
  66. Domain Generalization in Computational Pathology: Survey and Guidelines
  67. MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
  68. A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?
  69. Dynamics of Instruction Fine-Tuning for Chinese Large Language Models
  70. KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering
  71. Fast swap regret minimization and applications to approximate correlated equilibria
  72. DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking
  73. Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
  74. Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
  75. RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
  76. Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
  77. Exploring Post-Training Quantization of Protein Language Models
  78. A Bayesian Methodology for Estimation for Sparse Canonical Correlation
  79. Large Trajectory Models are Scalable Motion Predictors and Planners
  80. Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
  81. Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
  82. On Feynman--Kac training of partial Bayesian neural networks
  83. Technical Report on the Learning of Case Relevance in Case-Based Reasoning with Abstract Argumentation
  84. Transformers Can Solve Non-Linear and Non-Markovian Filtering Problems in Continuous Time For Conditionally Gaussian Signals
  85. LLMaAA: Making Large Language Models as Active Annotators
  86. Prediction of Locally Stationary Data Using Expert Advice
  87. Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions
  88. Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
  89. DPATD: Dual-Phase Audio Transformer for Denoising
  90. GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
  91. Human-interpretable and deep features for image privacy classification
  92. A Perceptual Shape Loss for Monocular 3D Face Reconstruction
  93. Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Snow Layers in Radar Echograms
  94. Model Uncertainty based Active Learning on Tabular Data using Boosted Trees
  95. Improving Input-label Mapping with Demonstration Replay for In-context Learning
  96. DataZoo: Streamlining Traffic Classification Experiments
  97. CreoleVal: Multilingual Multitask Benchmarks for Creoles
  98. Non-parametric regression for robot learning on manifolds
  99. Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
  100. Harvest Video Foundation Models via Efficient Post-Pretraining
  101. Approximation Theory, Computing, and Deep Learning on the Wasserstein Space
  102. MENTOR: Human Perception-Guided Pretraining for Increased Generalization
  103. AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking
  104. A Novel Representation to Improve Team Problem Solving in Real-Time
  105. On consequences of finetuning on data with highly discriminative features
  106. Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation
  107. MiLe Loss: a New Entropy-Weighed Loss for Mitigating the Bias of Learning Difficulties in Large Language Models
  108. On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
  109. Are Natural Domain Foundation Models Useful for Medical Image Classification?
  110. A General Neural Causal Model for Interactive Recommendation
  111. Generating Context-Aware Natural Answers for Questions in 3D Scenes
  112. Transformer-based nowcasting of radar composites from satellite images for severe weather
  113. Inverse folding for antibody sequence design using deep learning
  114. Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination
  115. Deep Learning for Visual Navigation of Underwater Robots
  116. Generator Identification for Linear SDEs with Additive and Multiplicative Noise
  117. Adaptive Meta-Learning-Based KKL Observer Design for Nonlinear Dynamical Systems
  118. VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation
  119. Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks
  120. Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems
  121. Generative Neural Fields by Mixtures of Neural Implicit Functions
  122. Constituency Parsing using LLMs
  123. Security Challenges for Cloud or Fog Computing-Based AI Applications
  124. MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
  125. FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
  126. Hodge-Compositional Edge Gaussian Processes
  127. Large-Scale Application of Fault Injection into PyTorch Models -- an Extension to PyTorchFI for Validation Efficiency
  128. Towards Grouping in Large Scenes with Occlusion-aware Spatio-temporal Transformers
  129. A Federated Learning Framework for Stenosis Detection
  130. Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements
  131. Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications
  132. Ordinal classification for interval-valued data and interval-valued functional data
  133. Explaining the Decisions of Deep Policy Networks for Robotic Manipulations
  134. Artificial intelligence and the limits of the humanities
  135. Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  136. GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
  137. CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance
  138. Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images
  139. Resource Constrained Semantic Segmentation for Waste Sorting
  140. Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks
  141. A Lightweight Method to Generate Unanswerable Questions in English
  142. LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation
  143. A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma
  144. Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
  145. Implicit Manifold Gaussian Process Regression
  146. Othello is Solved
  147. Gradient-free online learning of subgrid-scale dynamics with neural emulators
  148. Deep anytime-valid hypothesis testing
  149. Protecting Publicly Available Data With Machine Learning Shortcuts
  150. TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
  151. Few-shot Hybrid Domain Adaptation of Image Generators
  152. RGB-X Object Detection via Scene-Specific Fusion Modules
  153. Color Equivariant Convolutional Networks
  154. Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
  155. Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
  156. Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection
  157. Japanese SimCSE Technical Report
  158. Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES
  159. Label-Only Model Inversion Attacks via Knowledge Transfer
  160. Skywork: A More Open Bilingual Foundation Model
  161. TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
  162. Progressive Neural Network for Multi-Horizon Time Series Forecasting
  163. Dual-Directed Algorithm Design for Efficient Pure Exploration
  164. L2T-DLN: Learning to Teach with Dynamic Loss Network
  165. Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
  166. A Planning-and-Exploring Approach to Extreme-Mechanics Force Fields
  167. Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection
  168. Stage-Aware Learning for Dynamic Treatments
  169. On Measuring Fairness in Generative Models
  170. ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout
  171. FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound
  172. AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
  173. Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous Functionality
  174. Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
  175. rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
  176. Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds
  177. Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks
  178. The Memory Perturbation Equation: Understanding Model's Sensitivity to Data
  179. NPCL: Neural Processes for Uncertainty-Aware Continual Learning
  180. Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task
  181. Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach
  182. Moral Sparks in Social Media Narratives
  183. Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans
  184. A Metadata-Driven Approach to Understand Graph Neural Networks
  185. Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
  186. Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
  187. A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture
  188. Flow-based Distributionally Robust Optimization
  189. Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
  190. Pre-trained Recommender Systems: A Causal Debiasing Perspective
  191. Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
  192. Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
  193. A spectral regularisation framework for latent variable models designed for single channel applications
  194. M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
  195. Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
  196. Adapter Pruning using Tropical Characterization
  197. There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
  198. Stochastic Configuration Machines: FPGA Implementation
  199. CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
  200. Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB Images
  201. Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning
  202. From Stream to Pool: Pricing Under the Law of Diminishing Marginal Utility
  203. On the accuracy and efficiency of group-wise clipping in differentially private optimization
  204. Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
  205. EHRTutor: Enhancing Patient Understanding of Discharge Instructions
  206. Investigative Pattern Detection Framework for Counterterrorism
  207. Generalized Category Discovery with Clustering Assignment Consistency
  208. LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
  209. Leveraging generative artificial intelligence to simulate student learning behavior
  210. Can ChatGPT advance software testing intelligence? An experience report on metamorphic testing