Papers

New on arXiv

Thu 4 Jan 2024

164 papers

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
Bridging Modalities: Knowledge Distillation and Masked Training for Translating Multi-Modal Emotion Recognition to Uni-Modal, Speech-Only Emotion RecognitionKnowledge distillation → Multimodal distillation
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology ImagingMultimodal LLMs / vision-language models → Medical vision-language models
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning ApproachDeep reinforcement learning methods → RL for autonomous driving and traffic
VASE: Object-Centric Appearance and Shape Manipulation of Real VideosDiffusion models → Video generation
Improved Zero-Shot Classification by Adapting VLMs with Text DescriptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
eCIL-MU: Embedding based Class Incremental Learning and Machine UnlearningLLM safety and security → Machine unlearning
Learning to Prompt with Text Only Supervision for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
Bring Metric Functions into Diffusion ModelsDiffusion models → Diffusion foundations and sampling
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction TuningMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
A Survey Analyzing Generalization in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
Policy-regularized Offline Multi-objective Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
Trajectory-Oriented Policy Optimization with Sparse RewardsDeep reinforcement learning methods → Deep RL algorithms and representations
Location Aware Modular Biencoder for Tourism Question AnsweringLLM reasoning → Spatial and embodied reasoning
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion GenerationDiffusion models → Video generation
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body TeleoperationOffline RL and imitation learning from data → Robot manipulation imitation learning
Preserving Image Properties Through Initializations in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
k-Winners-Take-All Ensemble Neural NetworkMixture-of-experts → MoE theory and gating functions
A multi-modal vision-language model for generalizable annotation-free pathology localizationMultimodal LLMs / vision-language models → Medical vision-language models
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge DetectionDiffusion models → Diffusion foundations and sampling
Improving Diffusion-Based Image Synthesis with Context PredictionDiffusion models → Diffusion foundations and sampling
Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesLLM reasoning → Test-time compute and efficient thinking
Identifying Risk Patterns in Brazilian Police Reports Preceding Femicides: A Long Short Term Memory (LSTM) Based Analysis
Querying Triadic Concepts through Partial or Complete Matching of Triples
Migrating Birds Optimization-Based Feature Selection for Text Classification
The complementary contributions of academia and industry to AI research
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing
Improving automatic detection of driver fatigue and distraction using machine learning
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
MobileAgent: enhancing mobile control via human-machine interaction and SOP integration
Blar-SQL: Faster, Stronger, Smaller NL2SQL
An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
Advanced Unstructured Data Processing for ESG Reports: A Methodology for Structured Transformation and Enhanced Analysis
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
Large Language Models for Social Networks: Applications, Challenges, and Solutions
Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
Hyperparameter Estimation for Sparse Bayesian Learning Models
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture
Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
Novel End-to-End Production-Ready Machine Learning Flow for Nanolithography Modeling and Correction
Branched Variational Autoencoder Classifiers
Comprehensive Exploration of Synthetic Data Generation: A Survey
Image-based Deep Learning for Smart Digital Twins: a Review
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
Memory, Consciousness and Large Language Model
A Kolmogorov metric embedding for live cell microscopy signaling patterns
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows
Data-Centric Foundation Models in Computational Healthcare: A Survey
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
ODIN: A Single Model for 2D and 3D Segmentation
LLaMA Pro: Progressive LLaMA with Block Expansion
Simulation-Based Inference with Quantile Regression
LLM Augmented LLMs: Expanding Capabilities through Composition
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation
Learning the 3D Fauna of the Web
Generating synthetic data for neural operators
TinyLlama: An Open-Source Small Language Model
Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
An Open and Comprehensive Pipeline for Unified Object Grounding and Detection
A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer
Fit-NGP: Fitting Object Models to Neural Graphics Primitives
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
Evasive Hardware Trojan through Adversarial Power Trace
Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
Exploring Vacant Classes in Label-Skewed Federated Learning
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection

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