Papers
Thu 21 Dec 2023
234 papers
- TSDiT: Traffic Scene Diffusion Models With TransformersDiffusion models → Diffusion and flow policies for robotics
- Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied MathematiciansDiffusion models → Diffusion foundations and sampling
- Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation ModelsDiffusion models → Image generation, text-to-image and editing
- Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation ExpansionRetrieval-augmented generation → RAG pipeline design and evaluation
- Exploiting Novel GPT-4 APIsLLM agents and tool use → Agent threats, guardrails and governance +1
- Elevating Defenses: Bridging Adversarial Training and Watermarking for Model ResilienceLLM safety and security → Watermarking generated content and models
- InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VCoder: Versatile Vision Encoders for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Single-Cell RNA-seq Synthesis with Latent Diffusion ModelDiffusion models → Flow matching, time series and science
- DreamDistribution: Learning Prompt Distribution for Diverse In-distribution GenerationDiffusion models → Image generation, text-to-image and editing
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language ModelsLLM safety and security → Prompt injection and agent security
- DriveLM: Driving with Graph Visual Question AnsweringMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- TagAlign: Improving Vision-Language Alignment with Multi-Tag ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- V*: Guided Visual Search as a Core Mechanism in Multimodal LLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Diffusion Reward: Learning Rewards via Conditional Video DiffusionDiffusion models → Diffusion and flow policies for robotics
- Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance GenerationDiffusion models → 3D, point cloud and scene generation
- LingoQA: Visual Question Answering for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL FinetuningDiffusion models → 3D, point cloud and scene generation
- Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- Understanding Inter-Session Intentions via Complex Logical ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- AppAgent: Multimodal Agents as Smartphone UsersLLM agents and tool use → GUI and mobile agents
- Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Critic-Guided Decision Transformer for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Free-Editor: Zero-shot Text-driven 3D Scene EditingDiffusion models → 3D, point cloud and scene generation
- Diff-Oracle: Deciphering Oracle Bone Scripts with Controllable Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Navigating the Structured What-If Spaces: Counterfactual Generation via Structured DiffusionDiffusion models → Diffusion foundations and sampling
- The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank ReductionLLM reasoning → Test-time compute and efficient thinking
- Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
- L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs
- Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction
- Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems
- A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
- De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
- Multimodal Optimization with k-Cluster Big Bang-Big Crunch Algorithm and Postprocessing Methods for Identification and Quantification of Optima
- Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
- D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
- Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
- Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?
- Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data
- Timeline-based Process Discovery
- Machine-learning-based particle identification with missing data
- HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property
- From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
- Hawkes-based cryptocurrency forecasting via Limit Order Book data
- Stacked tensorial neural networks for reduced-order modeling of a parametric partial differential equation
- On Quantifying Sentiments of Financial News -- Are We Doing the Right Things?
- Unsupervised Random Quantum Networks for PDEs
- Context-aware Decoding Reduces Hallucination in Query-focused Summarization
- DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
- Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks
- Maximum entropy GFlowNets with soft Q-learning
- Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
- Data needs and challenges for quantum dot devices automation
- Federated Quantum Long Short-term Memory (FedQLSTM)
- Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Time Spans
- Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases
- Autoencoder Based Face Verification System
- Fairness in Submodular Maximization over a Matroid Constraint
- Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
- Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
- Fine-grained Forecasting Models Via Gaussian Process Blurring Effect
- Characterizing and Classifying Developer Forum Posts with their Intentions
- Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions
- Experimental demonstration of magnetic tunnel junction-based computational random-access memory
- Exploring the intersection of Generative AI and Software Development
- Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
- Contextual Feature Selection with Conditional Stochastic Gates
- GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization
- Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks
- PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
- AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression
- Neural Spline Fields for Burst Image Fusion and Layer Separation
- Parrot Captions Teach CLIP to Spot Text
- Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
- ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
- Deep de Finetti: Recovering Topic Distributions from Large Language Models
- Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
- Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
- Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
- DCFL: Non-IID awareness Data Condensation aided Federated Learning
- AutoAugment Input Transformation for Highly Transferable Targeted Attacks
- Adversarial Infrared Curves: An Attack on Infrared Pedestrian Detectors in the Physical World
- SimLM: Can Language Models Infer Parameters of Physical Systems?
- A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
- Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions
- Experimenting with Large Language Models and vector embeddings in NASA SciX
- Fold Bifurcation Identification through Scientific Machine Learning
- TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion
- LLM4VG: Large Language Models Evaluation for Video Grounding
- Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction
- Shai: A large language model for asset management
- Illuminating the Black Box: A Psychometric Investigation into the Multifaceted Nature of Large Language Models
- Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
- Efficient Architecture Search via Bi-level Data Pruning
- ZeroShape: Regression-based Zero-shot Shape Reconstruction
- Optimizing Heat Alert Issuance with Reinforcement Learning
- 3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera
All 234
- Virtual Pets: Animatable Animal Generation in 3D Scenes
- Quantum Algorithms for the Pathwise Lasso
- HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
- Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
- Fast kernel half-space depth for data with non-convex supports
- DUSt3R: Geometric 3D Vision Made Easy
- WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data
- Entropic Open-set Active Learning
- VideoPoet: A Large Language Model for Zero-Shot Video Generation
- Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)
- Learning Human-like Representations to Enable Learning Human Values
- RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
- Learned reconstruction methods for inverse problems: sample error estimates
- EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models
- Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
- Weighted least-squares approximation with determinantal point processes and generalized volume sampling
- Multi-Sentence Grounding for Long-term Instructional Video
- Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation
- Machine learning and domain decomposition methods -- a survey
- Neural Contextual Bandits for Personalized Recommendation
- T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
- AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
- NICP: Neural ICP for 3D Human Registration at Scale
- Leveraging Visual Supervision for Array-based Active Speaker Detection and Localization
- BANSpEmo: A Bangla Emotional Speech Recognition Dataset
- On the choice of the optimal temporal support for audio classification with Pre-trained embeddings
- Deep Learning Based Face Recognition Method using Siamese Network
- Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing
- Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style
- Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System
- R'enyi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
- Metalearning with Very Few Samples Per Task
- NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
- Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional torso-heart imaging reconstruction pipeline
- On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
- ChatGPT as a commenter to the news: can LLMs generate human-like opinions?
- Typhoon: Thai Large Language Models
- PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment
- Controllable 3D Face Generation with Conditional Style Code Diffusion
- Structured Probabilistic Coding
- Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access
- On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
- AsyncMLD: Asynchronous Multi-LLM Framework for Dialogue Recommendation System
- Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
- Solving Long-run Average Reward Robust MDPs via Stochastic Games
- EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation
- Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
- Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
- Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs
- Capture the Flag: Uncovering Data Insights with Large Language Models
- Best Arm Identification in Batched Multi-armed Bandit Problems
- Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations
- Data-driven path collective variables
- Manipulating Trajectory Prediction with Backdoors
- Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts
- Image Clustering using Restricted Boltzman Machine
- Statistical learning theory and Occam's razor: The core argument
- Towards Efficient Time Stepping for Numerical Shape Correspondence
- Q-SENN: Quantized Self-Explaining Neural Networks
- SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF and NeuS
- Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
- Super-resolution of THz time-domain images based on low-rank representation
- Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System
- Cluster-based classification with neural ODEs via control
- Sparse Training for Federated Learning with Regularized Error Correction
- An Approach to Colour Morphological Supremum Formation using the LogSumExp Approximation
- TinySAM: Pushing the Envelope for Efficient Segment Anything Model
- Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
- Progressive Evolution from Single-Point to Polygon for Scene Text
- Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video
- Large Language Models are Miscalibrated In-Context Learners
- 3D Points Splatting for Real-Time Dynamic Hand Reconstruction
- Exploiting Contextual Target Attributes for Target Sentiment Classification
- Team Irisapu Project Description for DRC2023
- A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
- Cross-Layer Optimization for Fault-Tolerant Deep Learning
- Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
- Video Recognition in Portrait Mode
- DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
- Gaussian Splatting with NeRF-based Color and Opacity
- Bootstrap Masked Visual Modeling via Hard Patches Mining
- A Learning oriented DLP System based on Classification Model
- A Forecasting-Based DLP Approach for Data Security
- Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
- Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language
- DreamTuner: Single Image is Enough for Subject-Driven Generation
- A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended
- HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
- Parallel Trust-Region Approaches in Neural Network Training: Beyond Traditional Methods
- Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
- Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction
- Distributed Quantum Neural Networks via Partitioned Features Encoding
- Weakly Supervised Semantic Segmentation for Driving Scenes
- SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
- Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding
- TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
- MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks
- Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
- A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings
- Structure-Aware Path Inference for Neural Finite State Transducers
- Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
- Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation
- Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos
- Peer-to-Peer Learning + Consensus with Non-IID Data
- Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
- Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
- Speech Translation with Large Language Models: An Industrial Practice
- Wave Physics-informed Matrix Factorizations
- Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
- DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
- ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
- Automatic Curriculum Learning with Gradient Reward Signals
- Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations
- CR-SAM: Curvature Regularized Sharpness-Aware Minimization
- How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark
- Developing Interactive Tourism Planning: A Dialogue Robot System Powered by a Large Language Model
- HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
- Domain Adaptive Graph Classification
- SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
- Automated Clinical Coding for Outpatient Departments
- HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion
- MoBluRF: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video
- Preparing to Integrate Generative Pretrained Transformer Series 4 models into Genetic Variant Assessment Workflows: Assessing Performance, Drift, and Nondeterminism Characteristics Relative to Classifying Functional Evidence in Literature
- Secure Information Embedding in Images with Hybrid Firefly Algorithm
- BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions
- Symmetry-enforcing neural networks with applications to constitutive modeling
- MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment
- Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast
- SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
- InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models
- Federated Continual Novel Class Learning
- Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
- Visual Tomography: Physically Faithful Volumetric Models of Partially Translucent Objects