Papers

New on arXiv

Sat 9 Mar 2024

126 papers

AutoEval Done Right: Using Synthetic Data for Model EvaluationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
Reinforcement Learning Paycheck Optimization for Multivariate Financial GoalsDeep reinforcement learning methods → Adversarial robustness and RL in finance
Dissecting Deep RL with High Update Ratios: Combatting Value DivergenceDeep reinforcement learning methods → Deep RL algorithms and representations
Enhancing Classification Performance via Reinforcement Learning for Feature SelectionDeep reinforcement learning methods → Deep RL algorithms and representations
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced DataDiffusion models → Diffusion foundations and sampling
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingMultimodal LLMs / vision-language models → Multimodal emotion understanding
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
Frequency Attention for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
PEARL: Structural Privacy-Utility Control in Human-Centric CPS via Personalized Early-Exit Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
Diffusion Lens: Interpreting Text Encoders in Text-to-Image PipelinesDiffusion models → Image generation, text-to-image and editing
TokenMark: A Modality-Agnostic Watermark for Pre-trained TransformersLLM safety and security → Watermarking generated content and models
An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging DataDiffusion models → Audio, speech and music
Statistical Efficiency of Distributional Temporal Difference Learning and Freedman's Inequality in Hilbert SpacesDeep reinforcement learning methods → RL theory and sample complexity
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-ResolutionDiffusion models → Inverse problems and image restoration
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid InferenceKnowledge distillation → Detection and dense prediction distillation
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionDiffusion models → Robustness, privacy and adversarial aspects
Scaling Team Coordination on Graphs with Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
Extending Activation Steering to Broad Skills and Multiple BehavioursMechanistic interpretability → Activation steering methods
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning ProcessDiffusion models → Flow matching, time series and science
Provable Policy Gradient Methods for Average-Reward Markov Potential GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
Understanding Social Perception, Interactions, and Safety Aspects of Sidewalk Delivery Robots Using Sentiment Analysis
Distributed Record Linkage in Healthcare Data with Apache Spark
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Exploratory Data Analysis on Code-mixed Misogynistic Comments
Institutional-Level Monitoring of Immune Checkpoint Inhibitor IrAEs Using a Novel Natural Language Processing Algorithmic Pipeline
Schema-Aware Multi-Task Learning for Complex Text-to-SQL
Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey
Hair and scalp disease detection using deep learning
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence
Adaptive Hyperparameter Optimization for Continual Learning Scenarios
AdaNovo: Adaptive De Novo Peptide Sequencing with Conditional Mutual Information
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM
On Globular T-Spherical Fuzzy (G-TSF) Sets with Application to G-TSF Multi-Criteria Group Decision-Making
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creation
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches
CarbonNet: How Computer Vision Plays a Role in Climate Change? Application: Learning Geomechanics from Subsurface Geometry of CCS to Mitigate Global Warming
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis
Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification
Hierarchical Query Classification in E-commerce Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
End-to-end solution for linked open data query logs analytics
Grafting: Making Random Forests Consistent
Hard-label based Small Query Black-box Adversarial Attack
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
A Generalized Acquisition Function for Preference-based Reward Learning
Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach
Measuring Bias in a Ranked List using Term-based Representations
Calibrating Large Language Models Using Their Generations Only
Can Generative Models Improve Self-Supervised Representation Learning?
Robust Emotion Recognition in Context Debiasing
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
General surgery vision transformer: A video pre-trained foundation model for general surgery
Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis
Thread Detection and Response Generation using Transformers with Prompt Optimisation
Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry
CSCNET: Class-Specified Cascaded Network for Compositional Zero-Shot Learning
OntoChat: a Framework for Conversational Ontology Engineering using Language Models
High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration
MaiBaam Annotation Guidelines
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Fast Kernel Scene Flow
DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos
Towards Efficient Replay in Federated Incremental Learning
Generalizing to Out-of-Sample Degradations via Model Reprogramming
DiffRed: Dimensionality Reduction guided by stable rank
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Deep Learning based acoustic measurement approach for robotic applications on orthopedics
SPAFormer: Sequential 3D Part Assembly with Transformers
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
POV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-View World
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
SSF-Net: Spatial-Spectral Fusion Network with Spectral Angle Awareness for Hyperspectral Object Tracking
tLaSDI: Thermodynamics-informed latent space dynamics identification
iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself
Reverse That Number! Decoding Order Matters in Arithmetic Learning
Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
Optimizing LLM Queries in Relational Data Analytics Workloads
PR-NET: Leveraging Pathway Refined Network Structures for Prostate Cancer Patient Condition Prediction
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Algorithmic progress in language models
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Two-hidden-layer ReLU neural networks and finite elements
A self-supervised CNN for image watermark removal

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