Papers

New on arXiv

Sat 6 Apr 2024

125 papers

Cascaded Multi-path Shortcut Diffusion Model for Medical Image TranslationDiffusion models → Medical imaging and segmentation
Structurally Flexible Neural Networks: Evolving the Building Blocks for General AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red TeamingLLM safety and security → Safety alignment, refusal and guardrails
Goal-guided Generative Prompt Injection Attack on Large Language ModelsLLM safety and security → Prompt injection and agent security
Challenges Faced by Large Language Models in Solving Multi-Agent FlockingLLM agents and tool use → General LLM agent frameworks and benchmarks
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical ProblemsLLM reasoning → Mathematical reasoning +1
Data Poisoning Attacks on Off-Policy Policy Evaluation MethodsLLM safety and security → Backdoor and data poisoning attacks
Deep Reinforcement Learning Control for Disturbance Rejection in a Nonlinear Dynamic System with Parametric UncertaintyDeep reinforcement learning methods → RL theory and sample complexity
Compositional Conservatism: A Transductive Approach in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
Autonomous Artificial Intelligence Agents for Clinical Decision Making in OncologyLLM agents and tool use → Medical and scientific domain agents
Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
Binary Classifier Optimization for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneEnd-to-end autonomous driving → VLMs for autonomous driving
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise OptimizationDiffusion models → Image generation, text-to-image and editing
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV SegmentationDiffusion models → Image generation, text-to-image and editing
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual ReinforcementLLM reasoning → Multimodal reasoning +1
Towards Analyzing and Understanding the Limitations of DPO: A Theoretical PerspectiveLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single ModelLLM agents and tool use → Multimodal and embodied agents
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained DiffusionDiffusion models → Image generation, text-to-image and editing
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningLLM reasoning → Multimodal reasoning
DATENeRF: Depth-Aware Text-based Editing of NeRFsDiffusion models → 3D, point cloud and scene generation
Latent-based Diffusion Model for Long-tailed RecognitionDiffusion models → Diffusion foundations and sampling
Language Models as Critical Thinking Tools: A Case Study of PhilosophersLLM reasoning → Reasoning benchmarks and evaluation
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
Aligning Diffusion Models by Optimizing Human UtilityDiffusion models → Diffusion and flow policies for robotics +1
Estimation of FFR in coronary arteries with deep learning
Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm
Time topological analysis of EEG using signature theory
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
A Novel Bi-LSTM And Transformer Architecture For Generating Tabla Music
Study of the effect of Sharpness on Blind Video Quality Assessment
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
Collaborative Feedback Discriminative Propagation for Video Super-Resolution
Adapting Multi-objectivized Software Configuration Tuning
BARMPy: Bayesian Additive Regression Models Python Package
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
Towards Generalized Entropic Sparsification for Convolutional Neural Networks
Navigating the Landscape of Hint Generation Research: From the Past to the Future
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics
On Exploring PDE Modeling for Point Cloud Video Representation Learning
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment
Exploiting the geometry of heterogeneous networks: A case study of the Indian stock market
OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
The Identification and Categorization of Anemia Through Artificial Neural Networks: A Comparative Analysis of Three Models
Multicalibration for Confidence Scoring in LLMs
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
Salient Sparse Visual Odometry With Pose-Only Supervision
Order-Based Pre-training Strategies for Procedural Text Understanding
Neural-ABC: Neural Parametric Models for Articulated Body with Clothes
PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
Domain Generalisation via Imprecise Learning
Adaptive Intra-Class Variation Contrastive Learning for Unsupervised Person Re-Identification
Focused Active Learning for Histopathological Image Classification
Learning Minimal Neural Specifications
Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
Music Recommendation Based on Facial Emotion Recognition
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks
Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
A Deep Look Into -- Automated Lung X-Ray Abnormality Detection System
Context versus Prior Knowledge in Language Models
On the Limitations of Large Language Models (LLMs): False Attribution
Bridging the Gap Between End-to-End and Two-Step Text Spotting
An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
Empowering Image Recovery_ A Multi-Attention Approach
Vanishing Variance Problem in Fully Decentralized Neural-Network Systems
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation
Neuroevolving Electronic Dynamical Networks
PIE: Physics-inspired Low-light Enhancement
D3: Scaling Up Deepfake Detection by Learning from Discrepancy
SDFR: Synthetic Data for Face Recognition Competition
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Optimization of Lightweight Malware Detection Models For AIoT Devices
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos
Enhancing Video Summarization with Context Awareness
Diffusion Time-step Curriculum for One Image to 3D Generation
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
Spectral GNN via Two-dimensional (2-D) Graph Convolution
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner
A self-attention model for robust rigid slice-to-volume registration of functional MRI
TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
Impact of Fairness Regulations on Institutions' Policies and Population Qualifications
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation
A Morphology-Based Investigation of Positional Encodings

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