Papers

New on arXiv

Sun 14 Jul 2024

119 papers

Reinforcement Learning in High-frequency Market MakingDeep reinforcement learning methods → Adversarial robustness and RL in finance
Addressing Class Imbalance and Data Limitations in Advanced Node Semiconductor Defect Inspection: A Generative Approach for SEM ImagesDiffusion models → Flow matching, time series and science
Affordance-Guided Reinforcement Learning via Visual PromptingDeep reinforcement learning methods → RL for robot locomotion and manipulation
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-ValuesDeep reinforcement learning methods → Deep RL algorithms and representations
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language ModelsLLM reasoning → Chain-of-thought reasoning for driving
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion ModelsDiffusion models → Video generation
Disrupting Diffusion-based Inpainters with Semantic DigressionDiffusion models → Robustness, privacy and adversarial aspects
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-LabelsKnowledge distillation → Distillation for medical imaging
What Makes and Breaks Safety Fine-tuning? A Mechanistic StudyLLM safety and security → Safety alignment, refusal and guardrails
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
On Large Language Model Continual UnlearningLLM safety and security → Machine unlearning
Key-Point-Driven Mathematical Reasoning Distillation of Large Language ModelLLM reasoning → Prompting and chain-of-thought reasoning +1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionKnowledge distillation → Detection and dense prediction distillation
ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step ReasoningLLM reasoning → Reasoning benchmarks and evaluation
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionKnowledge distillation → Detection and dense prediction distillation
DistillSeq: A Framework for Safety Alignment Testing in Large Language Models using Knowledge DistillationLLM safety and security → Safety alignment, refusal and guardrails
3DEgo: 3D Editing on the Go!Diffusion models → 3D, point cloud and scene generation
Transferable 3D Adversarial Shape Completion using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
Multi-Granularity Semantic Revision for Large Language Model DistillationKnowledge distillation → Knowledge distillation for LLMs
An Efficient High-Dimensional Gradient Estimator for Stochastic Differential EquationsDeep reinforcement learning methods → RL theory and sample complexity
Revolutionizing Bridge Operation and Maintenance with LLM-based Agents: An Overview of Applications and InsightsLLM agents and tool use → General LLM agent frameworks and benchmarks
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion GenerationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
Learning to Refuse: Towards Mitigating Privacy Risks in LLMsLLM safety and security → Machine unlearning
AutoGRAMS: Autonomous Graphical Agent Modeling SoftwareLLM agents and tool use → General LLM agent frameworks and benchmarks
Lean-STaR: Learning to Interleave Thinking and ProvingLLM reasoning → Mathematical reasoning
LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable EnvironmentsLLM agents and tool use → Multimodal and embodied agents
What Appears Appealing May Not be Significant! -- A Clinical Perspective of Diffusion ModelsDiffusion models → Medical imaging and segmentation
Artificial Intelligence from Idea to Implementation. How Can AI Reshape the Education Landscape?
Integrating AI Tutors in a Programming Course
Risks of ignoring uncertainty propagation in AI-augmented security pipelines
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks
Deep Learning Activation Functions: Fixed-Shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-Standard, Ensemble
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
LAB-Bench: Measuring Capabilities of Language Models for Biology Research
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis
Mapping the Scholarship of Dark Pattern Regulation: A Systematic Review of Concepts, Regulatory Paradigms, and Solutions from an Interdisciplinary Perspective
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images
An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features
Ontology-driven Reinforcement Learning for Personalized Student Support
3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects
The Interpretation Gap in Text-to-Music Generation Models
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
RecGS: Removing Water Caustic with Recurrent Gaussian Splatting
Order parameters and phase transitions of continual learning in deep neural networks
Augmented prediction of a true class for Positive Unlabeled data under selection bias
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation
Does Burrows' Delta really confirm that Rowling and Galbraith are the same author?
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
AlphaDou: High-Performance End-to-End Doudizhu AI Integrating Bidding
Cross-Lingual Multi-Hop Knowledge Editing
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
psifx -- Psychological and Social Interactions Feature Extraction Package
Towards detailed and interpretable hybrid modeling of continental-scale bird migration
Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence
Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs
xLSTMTime : Long-term Time Series Forecasting With xLSTM
Asymptotic Normality of Generalized Low-Rank Matrix Sensing via Riemannian Geometry
Visual Prompt Selection for In-Context Learning Segmentation
Weighted Aggregation of Conformity Scores for Classification
Efficient Facial Landmark Detection for Embedded Systems
Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
Maximum mean discrepancies of Farey sequences
Vector Field Attention for Deformable Image Registration
Learning to Steer Markovian Agents under Model Uncertainty
Dominant Design Prediction with Phylogenetic Networks
Improving Graph Out-of-distribution Generalization Beyond Causality
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
Multiple data sources and domain generalization learning method for road surface defect classification
A3S: A General Active Clustering Method with Pairwise Constraints
V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systems
Curriculum Learning for Small Code Language Models
GRAPE: Generalizable and Robust Multi-view Facial Capture
Unexpected Benefits of Self-Modeling in Neural Systems
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
Defending Against Repetitive Backdoor Attacks on Semi-supervised Learning through Lens of Rate-Distortion-Perception Trade-off
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
Restoring Images in Adverse Weather Conditions via Histogram Transformer
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
Look Within, Why LLMs Hallucinate: A Causal Perspective
Mitigating Translationese in Low-resource Languages: The Storyboard Approach
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration
Pattern Guided UV Recovery for Realistic Video Garment Texturing
Optimal Kernel Choice for Score Function-based Causal Discovery
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes
Textless Dependency Parsing by Labeled Sequence Prediction

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