mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 5 Jun 2023

316 papers

  1. Reducing Exposure to Harmful Content via Graph RewiringLLM safety and security → Safety alignment, refusal and guardrails
  2. Few Shot Rationale Generation using Self-Training with Dual TeachersSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
  3. Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. Survival Instinct in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  5. Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative ModelsDiffusion models → Medical imaging and segmentation
  6. Volumetric medical image segmentation through dual self-distillation in U-shaped networksKnowledge distillation → Distillation for medical imaging
  7. Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  8. AutoScrum: Automating Project Planning Using Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  9. Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
  10. SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather ForecastingDiffusion models → Flow matching, time series and science
  11. MotionDiffuser: Controllable Multi-Agent Motion Prediction using DiffusionWorld models → World models for autonomous driving
  12. HeadSculpt: Crafting 3D Head Avatars with TextDiffusion models → 3D, point cloud and scene generation
  13. Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsDiffusion models → Medical imaging and segmentation
  14. Complex Preferences for Different Convergent Priors in Discrete Graph DiffusionDiffusion models → Flow matching, time series and science
  15. INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse ProblemsDiffusion models → Inverse problems and image restoration
  16. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  17. COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local SearchMixture-of-experts → MoE theory and gating functions
  18. Human-like Few-Shot Learning via Bayesian Reasoning over Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
  19. Gibbs Sampling the Posterior of Neural NetworksKnowledge distillation → General knowledge distillation methods
  20. User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection TechniquesDiffusion models → Image generation, text-to-image and editing
  21. Orca: Progressive Learning from Complex Explanation Traces of GPT-4Offline RL and imitation learning from data → Imitation learning methods
  22. Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge GraphsKnowledge distillation → Graph neural network distillation
  23. Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score MatchingDiffusion models → Diffusion foundations and sampling
  24. Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional MonotonicityEfficient LLM inference and serving → Early exit and edge inference
  25. Stable Diffusion is UnstableDiffusion models → Robustness, privacy and adversarial aspects
  26. Video Diffusion Models with Local-Global Context GuidanceDiffusion models → Video generation
  27. User Behavior Simulation with Large Language Model based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  28. PLANNER: Generating Diversified Paragraph via Latent Language Diffusion ModelDiffusion models → Discrete and text diffusion
  29. A Study of Situational Reasoning for Traffic UnderstandingLLM reasoning → Chain-of-thought reasoning for driving
  30. PV Fleet Modeling via Smooth Periodic Gaussian Copula
  31. Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency
  32. Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
  33. DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models
  34. Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
  35. Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning
  36. Semantically-Prompted Language Models Improve Visual Descriptions
  37. DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision
  38. LexGPT 0.1: pre-trained GPT-J models with Pile of Law
  39. A Computational Analysis of Oral Argument in the Supreme Court
  40. On training locally adaptive CP
  41. Compressed Sensing: A Discrete Optimization Approach
  42. Empowering Business Transformation: The Positive Impact and Ethical Considerations of Generative AI in Software Product Management -- A Systematic Literature Review
  43. Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
  44. Neural Networks from Biological to Artificial and Vice Versa
  45. Learning Causal Mechanisms through Orthogonal Neural Networks
  46. Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
  47. CoSiNES: Contrastive Siamese Network for Entity Standardization
  48. A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
  49. Learning Embeddings for Sequential Tasks Using Population of Agents
  50. LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
  51. Global universal approximation of functional input maps on weighted spaces
  52. Estimating Conditional Mutual Information for Dynamic Feature Selection
  53. Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
  54. Switching Autoregressive Low-rank Tensor Models
  55. Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization
  56. ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
  57. Under-Counted Tensor Completion with Neural Incorporation of Attributes
  58. Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction
  59. Skill over Scale: The Case for Medium, Domain-Specific Models for SE
  60. Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
  61. shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
  62. Efficient automatic design of robots
  63. Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment
  64. Generating Private Synthetic Data with Genetic Algorithms
  65. Explaining and Adapting Graph Conditional Shift
  66. Zero-Shot 3D Shape Correspondence
  67. Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
  68. Early Weight Averaging meets High Learning Rates for LLM Pre-training
  69. Improving Accelerated Federated Learning with Compression and Importance Sampling
  70. A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
  71. Information Flow Control in Machine Learning through Modular Model Architecture
  72. Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
  73. Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
  74. Confidence-based federated distillation for vision-based lane-centering
  75. Structural Re-weighting Improves Graph Domain Adaptation
  76. Optimal transport for automatic alignment of untargeted metabolomic data
  77. End-to-end Differentiable Clustering with Associative Memories
  78. NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
  79. MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
  80. ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs
  81. A Static Evaluation of Code Completion by Large Language Models
  82. Nonlinear Distributionally Robust Optimization
  83. Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns
  84. Personalized Federated Domain Adaptation for Item-to-Item Recommendation
  85. Easy-to-Read in Germany: A Survey on its Current State and Available Resources
  86. Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
  87. Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records
  88. DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation
  89. Linear Distance Metric Learning with Noisy Labels
  90. Composition and Deformance: Measuring Imageability with a Text-to-Image Model
  91. Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
  92. How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
  93. On the Role of Entanglement and Statistics in Learning
  94. DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
  95. Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing
  96. Machine learning reveals features of spinon Fermi surface
  97. Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
  98. Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
  99. AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
  100. Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper
All 316
  1. Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
  2. Machine Learning Force Fields with Data Cost Aware Training
  3. Neuralangelo: High-Fidelity Neural Surface Reconstruction
  4. RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
  5. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
  6. Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
  7. DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
  8. InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
  9. Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
  10. Machine Learning and Statistical Approaches to Measuring Similarity of Political Parties
  11. SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
  12. Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware
  13. A General Perspective on Objectives of Reinforcement Learning
  14. Explore to Generalize in Zero-Shot RL
  15. Interactive Editing for Text Summarization
  16. Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages
  17. LibAUC: A Deep Learning Library for X-Risk Optimization
  18. Structured Voronoi Sampling
  19. Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
  20. Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks
  21. Forecasting Crude Oil Prices Using Reservoir Computing Models
  22. ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images
  23. From Robustness to Explainability and Back Again
  24. SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring
  25. Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item
  26. Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
  27. Classification of Edge-dependent Labels of Nodes in Hypergraphs
  28. Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset
  29. AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices
  30. PokemonChat: Auditing ChatGPT for Pok'emon Universe Knowledge
  31. Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder
  32. Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition
  33. Quantification of Uncertainties in Deep Learning-based Environment Perception
  34. On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings
  35. Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
  36. Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging
  37. Using Sequences of Life-events to Predict Human Lives
  38. Nonparametric Iterative Machine Teaching
  39. Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
  40. BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields
  41. Over-the-Air Federated Learning in Satellite systems
  42. Long-range UAV Thermal Geo-localization with Satellite Imagery
  43. Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning
  44. A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
  45. PolyVoice: Language Models for Speech to Speech Translation
  46. KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
  47. The Chai Platform's AI Safety Framework
  48. Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?
  49. Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System
  50. Online Learning with Feedback Graphs: The True Shape of Regret
  51. Time Interpret: a Unified Model Interpretability Library for Time Series
  52. Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
  53. Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
  54. A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires
  55. Color-aware Deep Temporal Backdrop Duplex Matting System
  56. Learning under random distributional shifts
  57. Continual Learning with Pretrained Backbones by Tuning in the Input Space
  58. Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
  59. Bivariate Causal Discovery using Bayesian Model Selection
  60. Human Spine Motion Capture using Perforated Kinesiology Tape
  61. LRVS-Fashion: Extending Visual Search with Referring Instructions
  62. MidMed: Towards Mixed-Type Dialogues for Medical Consultation
  63. Zero shot framework for satellite image restoration
  64. Second Language Acquisition of Neural Language Models
  65. Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning
  66. Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
  67. Unsupervised haze removal from underwater images
  68. Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems
  69. SelfEvolve: A Code Evolution Framework via Large Language Models
  70. Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions
  71. N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition
  72. A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
  73. Robust Fiber Orientation Distribution Function Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI
  74. Learning nonparametric latent causal graphs with unknown interventions
  75. Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
  76. Representational Strengths and Limitations of Transformers
  77. Evading Black-box Classifiers Without Breaking Eggs
  78. Operationalising the Definition of General Purpose AI Systems: Assessing Four Approaches
  79. Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval
  80. Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks
  81. Unsupervised network for low-light enhancement
  82. Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  83. Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
  84. DecompX: Explaining Transformers Decisions by Propagating Token Decomposition
  85. Text-To-KG Alignment: Comparing Current Methods on Classification Tasks
  86. On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research
  87. Data-Driven Online Model Selection With Regret Guarantees
  88. Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
  89. Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
  90. Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs
  91. Local Boosting for Weakly-Supervised Learning
  92. Asymmetric Patch Sampling for Contrastive Learning
  93. Scene as Occupancy
  94. TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
  95. HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
  96. Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals
  97. Improving Conversational Recommendation Systems via Counterfactual Data Simulation
  98. Learning to Substitute Spans towards Improving Compositional Generalization
  99. Proximity to Losslessly Compressible Parameters
  100. The L^∞ Learnability of Reproducing Kernel Hilbert Spaces
  101. MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis
  102. UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
  103. Near-Optimal Quantum Coreset Construction Algorithms for Clustering
  104. Discovering Dynamic Causal Space for DAG Structure Learning
  105. Enhancing Language Representation with Constructional Information for Natural Language Understanding
  106. MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
  107. Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents
  108. Deep Active Learning with Structured Neural Depth Search
  109. On Tail Decay Rate Estimation of Loss Function Distributions
  110. A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
  111. Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
  112. Enhancing naive classifier for positive unlabeled data based on logistic regression approach
  113. MCTS: A Multi-Reference Chinese Text Simplification Dataset
  114. Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
  115. Navigating Explanatory Multiverse Through Counterfactual Path Geometry
  116. Reassembling Broken Objects using Breaking Curves
  117. An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
  118. German CheXpert Chest X-ray Radiology Report Labeler
  119. Cheap-fake Detection with LLM using Prompt Engineering
  120. Input-gradient space particle inference for neural network ensembles
  121. Identifying the style by a qualified reader on a short fragment of generated poetry
  122. On simple expectations and observations of intelligent agents: A complexity study
  123. Cross-Lingual Transfer with Target Language-Ready Task Adapters
  124. Networked Communication for Decentralised Agents in Mean-Field Games
  125. Differentially Private Cross-camera Person Re-identification
  126. STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
  127. A2B: Anchor to Barycentric Coordinate for Robust Correspondence
  128. PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
  129. Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
  130. Towards Better Explanations for Object Detection
  131. ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields
  132. Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations
  133. A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
  134. Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
  135. Conformal Prediction with Missing Values
  136. Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
  137. Background-aware Moment Detection for Video Moment Retrieval
  138. Multiple output samples per input in a single-output Gaussian process
  139. Federated Deep Learning for Intrusion Detection in IoT Networks
  140. NFTVis: Visual Analysis of NFT Performance
  141. Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
  142. Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
  143. Unlocking the Potential of Federated Learning for Deeper Models
  144. Efficient GPT Model Pre-training using Tensor Train Matrix Representation
  145. CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
  146. Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
  147. Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
  148. Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
  149. Predicting malaria dynamics in Burundi using deep Learning Models
  150. A Novel Multi-Agent Deep RL Approach for Traffic Signal Control
  151. End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  152. BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion
  153. A Privacy-Preserving Federated Learning Approach for Kernel methods
  154. Cross-Modal Vertical Federated Learning for MRI Reconstruction
  155. Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints
  156. Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
  157. Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything
  158. Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation
  159. Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search
  160. Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness
  161. Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction
  162. Evaluating robustness of support vector machines with the Lagrangian dual approach
  163. Computational 3D topographic microscopy from terabytes of data per sample
  164. Covariance Adaptive Best Arm Identification
  165. Active Ranking of Experts Based on their Performances in Many Tasks
  166. Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models
  167. What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
  168. Enhance Diffusion to Improve Robust Generalization
  169. Permutation Decision Trees
  170. Controllable Lyrics-to-Melody Generation
  171. Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
  172. Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
  173. Computing Education in the Era of Generative AI
  174. ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
  175. Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
  176. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
  177. A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus
  178. Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
  179. Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis
  180. Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
  181. DAGrid: Directed Accumulator Grid
  182. Literature-based Discovery for Landscape Planning
  183. Jammer classification with Federated Learning
  184. MotionTrack: Learning Motion Predictor for Multiple Object Tracking
  185. Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation
  186. Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model
  187. Exploring the Role of the Bottleneck in Slot-Based Models Through Covariance Regularization
  188. Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
  189. Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
  190. When Decentralized Optimization Meets Federated Learning
  191. Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
  192. Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
  193. Coupled Variational Autoencoder
  194. Spatial Implicit Neural Representations for Global-Scale Species Mapping
  195. Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing
  196. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
  197. Tensorized Hypergraph Neural Networks
  198. Multi-View Representation is What You Need for Point-Cloud Pre-Training
  199. Detecting individual-level infections using sparse group-testing through graph-coupled hidden Markov models
  200. Improved Active Multi-Task Representation Learning via Lasso
  201. Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~citeschuetz2022combinatorial,citeangelini2023modern,citeschuetz2023reply
  202. Learning to Relate to Previous Turns in Conversational Search
  203. Evaluation of AI Chatbots for Patient-Specific EHR Questions
  204. Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
  205. Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
  206. Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
  207. Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition
  208. On Emergence of Clean-Priority Learning in Early Stopped Neural Networks
  209. R-Mixup: Riemannian Mixup for Biological Networks
  210. Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
  211. Connecting Proof Theory and Knowledge Representation: Sequent Calculi and the Chase with Existential Rules
  212. Transformative AGI by 2043 is <1% likely
  213. Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
  214. SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
  215. Jambu: A historical linguistic database for South Asian languages
  216. Graph Fourier MMD for Signals on Graphs