arXiv Machine Learning
Aug 13
Dual-Primal Graph VAEs for Noisy Label Aggregation
arXiv:2608. 11473v1 Announce Type: new Abstract: Inferring the ground-truth from noisy crowdsourced labels is an important theoretical and practical problem.
Benchmarks and evaluation
Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv Machine Learning
Aug 13
Kernel Methods for Learning Operators with Multiple Inputs and Outputs
arXiv:2608. 11831v1 Announce Type: new Abstract: Learning mappings between infinite-dimensional objects is a central challenge in scientific machine learning.
arXiv Machine Learning
Aug 13
Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models
arXiv:2608. 11656v1 Announce Type: new Abstract: Recent advances in EEG foundation models have demonstrated the potential of large-scale pretraining to enable generalizable neural decoding across subjects, recording environments, and datasets.
arXiv AI
Aug 13
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
arXiv:2411. 15122v2 Announce Type: replace-cross Abstract: AI-driven models have demonstrated significant potential in automating radiology report generation for chest X-rays.
arXiv AI
Aug 13
Herding End-to-End Autonomous Driving via Neuro-Symbolic Safety Guards
arXiv:2608. 11451v1 Announce Type: cross Abstract: Modern end-to-end driving agents can achieve high average performance yet still violate basic traffic rules that a human driver would never miss.
arXiv AI
Aug 13
CORE-3D: Context-aware Open-vocabulary Retrieval by Embeddings in 3D
arXiv:2509. 24528v4 Announce Type: replace-cross Abstract: Object retrieval from a scene has become a new trend of research due to its numerous applications.
arXiv Machine Learning
Aug 13
Local Cluster Cardinality Estimation for Adaptive Mean Shift
arXiv:2508. 12450v2 Announce Type: replace Abstract: This article presents an adaptive mean shift algorithm in which every parameter used at a point is derived from that point's own distance distribution.
arXiv Machine Learning
Aug 13
A comparison of CNN architectures for Alzheimer's disease detection in single-view MRI scans
arXiv:2608. 11762v1 Announce Type: cross Abstract: Alzheimer's disease is a leading cause of death with no cure.
arXiv Machine Learning
Aug 13
FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees
arXiv:2608. 12140v1 Announce Type: cross Abstract: Boosted decision trees (BDTs) are widely used in latency-critical applications, but efficient hardware deployment remains challenging.
arXiv AI
Aug 13
SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation
arXiv:2608. 11285v1 Announce Type: cross Abstract: Despite the practical relevance of sparse decision-based black-box threats, they have received limited attention in semantic segmentation.
arXiv AI
Aug 13
LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation
arXiv:2608. 11967v1 Announce Type: cross Abstract: Large language model agents increasingly rely on long-horizon reasoning to solve complex tasks involving planning, tool use, and memory.
arXiv AI
Aug 13
Causal Agent based on Large Language Model
arXiv:2408. 06849v3 Announce Type: replace Abstract: The large language model (LLM) has achieved significant success across various domains.
arXiv AI
Aug 13
Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv:2608. 11245v1 Announce Type: new Abstract: Online education offers unprecedented scalability and accessibility to global learners from diverse backgrounds, but it often suffers from low engagement and poor long term learning effectiveness.
arXiv Machine Learning
Aug 13
ODE-Based Transformer Decoders for Iterative Sign Language Translation
arXiv:2608. 11352v1 Announce Type: cross Abstract: Sign language translation has achieved strong results with Transformer architectures, yet recent improvements largely rely on scaling model capacity at the cost of increased computation.
arXiv Machine Learning
Aug 13
Clustered Randomized Smoothing for Stochastic Prediction Functions
arXiv:2608. 12037v1 Announce Type: new Abstract: Modern stochastic predictors can model rich, multi-modal outcome distributions.
arXiv AI
Aug 13
Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections
arXiv:2506. 12283v2 Announce Type: replace Abstract: Modeling vehicle interactions at unsignalized intersections is a challenging task due to the complexity of the underlying game-theoretic processes.
arXiv AI
Aug 13
ExRole: From Team Trajectories to Executable Roles in Multi-Agent Language Models
arXiv:2608. 11949v1 Announce Type: new Abstract: Roles provide an interpretable interface for organizing language-model agents, yet most multi-agent systems treat them as hand-written prompt labels disconnected from learned behavior and parameter updates.
arXiv AI
Aug 13
Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation
arXiv:2604. 03924v2 Announce Type: replace-cross Abstract: Goal-oriented conversational systems require making sequential decisions under uncertainty about the user's intent, where the algorithm must balance information acquisition and target commitment over multiple turns.
arXiv AI
Aug 13
Reducing Per-Sample Interference in Stochastic Optimization
arXiv:2607. 16261v2 Announce Type: replace-cross Abstract: Modern optimizers combine gradients from the current mini-batch with historical optimization state, such as momentum or adaptive moments.
arXiv AI
Aug 13
Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing
arXiv:2608. 11704v1 Announce Type: cross Abstract: Dynamic Time Warping (DTW)-based Nearest-Neighbor (NN) classifiers are effective for time-series classification but are vulnerable to mislabeled training samples and require numerous DTW computations during inference.