Papers
Thu 7 Dec 2023
271 papers
- Resolution Chromatography of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Hijacking Context in Large Multi-modal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Inversion-Free Image Editing with Natural LanguageDiffusion models → Image generation, text-to-image and editing
- Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsMixture-of-experts → MoE for time series and graphs
- Diffence: Fencing Membership Privacy With Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- LaRS: Latent Reasoning Skills for Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image GenerationsDiffusion models → Image generation, text-to-image and editing
- NeuSD: Surface Completion with Multi-View Text-to-Image DiffusionDiffusion models → 3D, point cloud and scene generation
- Gen2Det: Generate to DetectDiffusion models → Image generation, text-to-image and editing
- PrimDiffusion: Volumetric Primitives Diffusion for 3D Human GenerationDiffusion models → 3D, point cloud and scene generation
- GenTron: Diffusion Transformers for Image and Video GenerationDiffusion models → Diffusion foundations and sampling
- PlayFusion: Skill Acquisition via Diffusion from Language-Annotated PlayDiffusion models → Diffusion and flow policies for robotics
- Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion ModelsDiffusion models → Video generation
- An LLM Compiler for Parallel Function CallingLLM reasoning → Reasoning for agents, planning and code
- AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-MakingLLM agents and tool use → Multimodal and embodied agents
- Hierarchical Spatio-temporal Decoupling for Text-to-Video GenerationLLM reasoning → Multimodal reasoning +1
- Chain of Code: Reasoning with a Language Model-Augmented Code EmulatorLLM reasoning → Reasoning for agents, planning and code
- On the Learnability of Watermarks for Language ModelsLLM safety and security → Watermarking generated content and models
- Emotional Speech-driven 3D Body Animation via Disentangled Latent DiffusionDiffusion models → Audio, speech and music
- FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- DreamVideo: Composing Your Dream Videos with Customized Subject and MotionDiffusion models → Video generation
- Approximate Caching for Efficiently Serving Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport OptimizationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-ResolutionDiffusion models → Medical imaging and segmentation
- Adversarial Denoising Diffusion Model for Unsupervised Anomaly DetectionDiffusion models → Flow matching, time series and science
- LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model ProgramsEnd-to-end autonomous driving → Large language models for driving
- Investigating the Design Space of Diffusion Models for Speech EnhancementDiffusion models → Audio, speech and music
- CLadder: Assessing Causal Reasoning in Language ModelsLLM reasoning → Causal reasoning in LLMs
- Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical UncertaintiesDiffusion models → Flow matching, time series and science
- Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering StrategiesMultimodal LLMs / vision-language models → Medical vision-language models
- Multi-View Unsupervised Image Generation with Cross Attention GuidanceDiffusion models → 3D, point cloud and scene generation
- iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior DesignDiffusion models → Image generation, text-to-image and editing
- Towards Knowledge-driven Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Prompt Highlighter: Interactive Control for Multi-Modal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated ImagesDiffusion models → Diffusion and flow policies for robotics
- Adventures of Trustworthy Vision-Language Models: A SurveyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsDiffusion models → Medical imaging and segmentation
- Language Model Knowledge Distillation for Efficient Question Answering in SpanishKnowledge distillation → Knowledge distillation for LLMs
- Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Text as Image: Learning Transferable Adapter for Multi-Label ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diffusing Colors: Image Colorization with Text Guided DiffusionDiffusion models → Image generation, text-to-image and editing
- Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven JailbreakLLM safety and security → Jailbreaking
- Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient ProjectionLLM safety and security → Machine unlearning
- VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MEVG: Multi-event Video Generation with Text-to-Video ModelsDiffusion models → Video generation
- Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidanceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- PartDistill: 3D Shape Part Segmentation by Vision-Language Model DistillationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing +1
- Stable Diffusion for Data Augmentation in COCO and Weed DatasetsDiffusion models → Image generation, text-to-image and editing
- Style Transfer to Calvin and Hobbes comics using Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman OperatorOffline RL and imitation learning from data → Offline RL algorithms
- Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Understanding the Detrimental Class-level Effects of Data Augmentation
- An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency
- Perspectives on the State and Future of Deep Learning - 2023
- Large Language Models for Intent-Driven Session Recommendations
- Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
- The built environment and induced transport CO2 emissions: A double machine learning approach to account for residential self-selection
- Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation
- GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
- Image and AIS Data Fusion Technique for Maritime Computer Vision Applications
- LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
- NewMove: Customizing text-to-video models with novel motions
- ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
- Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors
- Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
- DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection
- A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network
- Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
- A Brief Tutorial on Sample Size Calculations for Fairness Audits
- Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation
- Train 'n Trade: Foundations of Parameter Markets
- Unnatural Algorithms in Machine Learning
- Efficient End-to-end Language Model Fine-tuning on Graphs
- Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning
- STraceBERT: Source Code Retrieval using Semantic Application Traces
- DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
- The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
- E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
- Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models
- Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
- From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis
- Distributed Optimization via Kernelized Multi-armed Bandits
- Dynamic Online Modulation Recognition using Incremental Learning
- Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets
- gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation
- Error Discovery by Clustering Influence Embeddings
- Luck, skill, and depth of competition in games and social hierarchies
- How to guess a gradient
- Efficient Parallel Reinforcement Learning Framework using the Reactor Model
- Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
- SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration
- Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
- LLM4TDD: Best Practices for Test Driven Development Using Large Language Models
- ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
- Reverse Engineering Deep ReLU Networks An Optimization-based Algorithm
- The automatic detection of lumber anatomy in epidural injections for ultrasound guidance
All 271
- Rapid Motor Adaptation for Robotic Manipulator Arms
- TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
- Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems
- PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
- Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games
- Learning Thresholds with Latent Values and Censored Feedback
- VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment
- PyThaiNLP: Thai Natural Language Processing in Python
- Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy
- On Sarcasm Detection with OpenAI GPT-based Models
- Autoencoding Labeled Interpolator, Inferring Parameters From Image, And Image From Parameters
- Relational Deep Learning: Graph Representation Learning on Relational Databases
- Testing LLM performance on the Physics GRE: some observations
- Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
- Short-term prediction of construction waste transport activities using AI-Truck
- Urban Region Representation Learning with Attentive Fusion
- Transferable Candidate Proposal with Bounded Uncertainty
- All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media
- Weak Supervision Performance Evaluation via Partial Identification
- Scaling Laws of Synthetic Images for Model Training ... for Now
- MuRF: Multi-Baseline Radiance Fields
- EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
- Visual Geometry Grounded Deep Structure From Motion
- GenDeF: Learning Generative Deformation Field for Video Generation
- NeRFiller: Completing Scenes via Generative 3D Inpainting
- MonoGaussianAvatar: Monocular Gaussian Point-based Head Avatar
- Large Language Models for Mathematicians
- Improved Visual Grounding through Self-Consistent Explanations
- SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing
- Generating Illustrated Instructions
- Free3D: Consistent Novel View Synthesis without 3D Representation
- Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
- Digital Life Project: Autonomous 3D Characters with Social Intelligence
- Adversarial Learning for Feature Shift Detection and Correction
- HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
- SoK: Unintended Interactions among Machine Learning Defenses and Risks
- Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
- Auto-Vocabulary Semantic Segmentation
- Trajeglish: Traffic Modeling as Next-Token Prediction
- PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
- Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
- Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
- Using Large Language Models for Hyperparameter Optimization
- Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection
- Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
- Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
- Efficient Monotonic Multihead Attention
- A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
- Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
- Graph Metanetworks for Processing Diverse Neural Architectures
- FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
- GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction
- Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation
- PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
- Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
- Privacy-preserving quantum federated learning via gradient hiding
- OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization
- FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
- Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views
- Scalable Knowledge Graph Construction and Inference on Human Genome Variants
- Temporal Fairness in Multiwinner Voting
- Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
- On the Impact of Multi-dimensional Local Differential Privacy on Fairness
- Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
- Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
- PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction
- Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization
- How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations
- Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
- A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control
- SingingHead: A Large-scale 4D Dataset for Singing Head Animation
- DemoCaricature: Democratising Caricature Generation with a Rough Sketch
- PCoQA: Persian Conversational Question Answering Dataset
- NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping
- When Input Integers are Given in the Unary Numeral Representation
- Causality and Explainability for Trustworthy Integrated Pest Management
- Merging by Matching Models in Task Parameter Subspaces
- Towards a Perceptual Evaluation Framework for Lighting Estimation
- Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers
- Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble
- A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion
- Learning to sample in Cartesian MRI
- Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
- MIMo: A Multi-Modal Infant Model for Studying Cognitive Development
- GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives
- Stochastic-Constrained Stochastic Optimization with Markovian Data
- Finding Interpretable Class-Specific Patterns through Efficient Neural Search
- A Structural-Clustering Based Active Learning for Graph Neural Networks
- nerblackbox: A High-level Library for Named Entity Recognition in Python
- Cross-codex Learning for Reliable Scribe Identification in Medieval Manuscripts
- GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
- Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM2.5 Forecasts
- Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
- Estimating Countries with Similar Maternal Mortality Rate using Cluster Analysis and Pairing Countries with Identical MMR
- Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
- Activity Grammars for Temporal Action Segmentation
- Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
- PsyChat: A Client-Centric Dialogue System for Mental Health Support
- Extending Answer Set Programming with Rational Numbers
- TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
- Mastering Complex Coordination through Attention-based Dynamic Graph
- Graph Convolutions Enrich the Self-Attention in Transformers!
- Fine-tuning vision foundation model for crack segmentation in civil infrastructures
- Dynamic Data-Driven Digital Twins for Blockchain Systems
- TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
- Swap distance minimization in SOV languages. Cognitive and mathematical foundations
- CODEX: A Cluster-Based Method for Explainable Reinforcement Learning
- Constraint Model for the Satellite Image Mosaic Selection Problem
- Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts
- Wavelength-multiplexed Delayed Inputs for Memory Enhancement of Microring-based Reservoir Computing
- SAMBA: A Trainable Segmentation Web-App with Smart Labelling
- Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification
- AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
- Coherent energy and force uncertainty in deep learning force fields
- A novel feature selection framework for incomplete data
- Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
- Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates
- Multi-scale Residual Transformer for VLF Lightning Transients Classification
- Zero-Touch Networks: Towards Next-Generation Network Automation
- Resource Allocation for Semantic Communication under Physical-layer Security
- EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
- Towards 4D Human Video Stylization
- TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
- Polarimetric Light Transport Analysis for Specular Inter-reflection
- A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
- Using a Large Language Model to generate a Design Structure Matrix
- Forensic Iris Image Synthesis
- A brief introduction to a framework named Multilevel Guidance-Exploration Network
- Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
- Instance Tracking in 3D Scenes from Egocentric Videos
- Multi-strategy Collaborative Optimized YOLOv5s and its Application in Distance Estimation
- Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
- Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
- Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
- Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
- Open-Vocabulary Segmentation with Semantic-Assisted Calibration
- On the adaptation of in-context learners for system identification
- Large Language Models are Good Prompt Learners for Low-Shot Image Classification
- Voice Recognition Robot with Real-Time Surveillance and Automation
- Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks
- A Transformer Model for Symbolic Regression towards Scientific Discovery
- Making Translators Privacy-aware on the User's Side
- MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion
- A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion
- DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
- An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything
- A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems
- Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
- Comparing Large Language Model AI and Human-Generated Coaching Messages for Behavioral Weight Loss
- Jointly spatial-temporal representation learning for individual trajectories
- Multimodal Misinformation Detection in a South African Social Media Environment
- Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation
- Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
- Reconstruction of dynamical systems from data without time labels
- DiffusionPhase: Motion Diffusion in Frequency Domain
- RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
- Modeling Boundedly Rational Agents with Latent Inference Budgets
- Improved Face Representation via Joint Label Classification and Supervised Contrastive Clustering
- ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations
- The sample complexity of multi-distribution learning
- Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices
- k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
- A Study on the Calibration of In-context Learning
- Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models
- Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes
- LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
- Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
- Rapid detection of rare events from in situ X-ray diffraction data using machine learning
- Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
- Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
- PerSival: Neural-network-based visualisation for pervasive continuum-mechanical simulations in musculoskeletal biomechanics