Papers

New on arXiv

Sat 6 Jan 2024

106 papers

Human-Instruction-Free LLM Self-Alignment with Limited SamplesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot LearningOffline RL and imitation learning from data → Offline RL algorithms +1
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and BeyondOffline RL and imitation learning from data → Offline RL algorithms
VLLaVO: Mitigating Visual Gap through LLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
Reflected Schr"odinger Bridge for Constrained Generative ModelingDiffusion models → Diffusion foundations and sampling
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and BeyondDiffusion models → Image generation, text-to-image and editing
3DMIT: 3D Multi-modal Instruction Tuning for Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
Decision Making in Non-Stationary Environments with Policy-Augmented SearchDeep reinforcement learning methods → RL theory and sample complexity
Exploring Defeasibility in Causal ReasoningLLM reasoning → Causal reasoning in LLMs
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic EnvironmentsDeep reinforcement learning methods → RL for games and combinatorial optimization
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
Controllable Image Synthesis of Industrial Data Using Stable DiffusionDiffusion models → Flow matching, time series and science
CaMML: Context-Aware Multimodal Learner for Large ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
Fair Sampling in Diffusion Models through Switching MechanismDiffusion models → Image generation, text-to-image and editing
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
TimeGraphs: Graph-based Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
Examining Forgetting in Continual Pre-training of Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
SAR Despeckling via Regional Denoising Diffusion Probabilistic ModelDiffusion models → Inverse problems and image restoration
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis
Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
Neural Rendering and Its Hardware Acceleration: A Review
Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
MultiSiam: A Multiple Input Siamese Network For Social Media Text Classification And Duplicate Text Detection
Semantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method
CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
ECGformer: Leveraging transformer for ECG heartbeat arrhythmia classification
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
Plug-and-Play Transformer Modules for Test-Time Adaptation
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
PIXAR: Auto-Regressive Language Modeling in Pixel Space
Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
Enhancing Context Through Contrast
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins
Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage Detection
Real Time Human Detection by Unmanned Aerial Vehicles
Analysis and Validation of Image Search Engines in Histopathology
Autonomous Navigation in Complex Environments
Group Activity Recognition using Unreliable Tracked Pose
RustNeRF: Robust Neural Radiance Field with Low-Quality Images
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR
Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns
Neuronal Temporal Filters as Normal Mode Extractors
SeqNAS: Neural Architecture Search for Event Sequence Classification
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
Reflections on Inductive Thematic Saturation as a potential metric for measuring the validity of an inductive Thematic Analysis with LLMs
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors
A New Parallel Cooperative Landscape Smoothing Algorithm and Its Applications on TSP and UBQP
Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition
End-to-End Anti-Backdoor Learning on Images and Time Series
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping
Learning-Augmented K-Means Clustering Using Dimensional Reduction
SecureReg: Combining NLP and MLP for Enhanced Detection of Malicious Domain Name Registrations
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
On the Convergence of Hermitian Dynamic Mode Decomposition
Monocular Per-Object Distance Estimation with Masked Object Modeling
MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image
A Joint-Reasoning based Disease Q&A System
Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks
Part-of-Speech Tagger for Bodo Language using Deep Learning approach
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues
Preserving Silent Features for Domain Generalization
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Short-Time Fourier Transform for deblurring Variational Autoencoders
QoS-Aware Graph Contrastive Learning for Web Service Recommendation
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model
ImageLab: Simplifying Image Processing Exploration for Novices and Experts Alike
Data-Dependent Stability Analysis of Adversarial Training
Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents
An Event-Oriented Diffusion-Refinement Method for Sparse Events Completion
Semi-supervised learning via DQN for log anomaly detection
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
Explicit Visual Prompts for Visual Object Tracking
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling
Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI
A Physics-guided Generative AI Toolkit for Geophysical Monitoring
Manifold-based Shapley for SAR Recognization Network Explanation
A least distance estimator for a multivariate regression model using deep neural networks

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