Papers
Tue 19 Sep 2023
251 papers
- Large Language Models as Agents in the ClinicLLM agents and tool use → Medical and scientific domain agents
- Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial contextDiffusion models → Medical imaging and segmentation
- Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial GuidanceDiffusion models → Inverse problems and image restoration
- Guide Your Agent with Adaptive Multimodal RewardsOffline RL and imitation learning from data → Imitation learning methods
- ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationDiffusion models → Audio, speech and music
- Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image DenoisingDiffusion models → Diffusion foundations and sampling
- MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackLLM agents and tool use → Tool learning and function calling +1
- Forgedit: Text Guided Image Editing via Learning and ForgettingDiffusion models → Image generation, text-to-image and editing
- Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising DiffusionDiffusion models → 3D, point cloud and scene generation
- Diffusion Models for Accurate Channel Distribution GenerationDiffusion models → Diffusion for compression and wireless
- RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential RecommendationRetrieval-augmented generation → RAG for recommendation
- Diffusion-based speech enhancement with a weighted generative-supervised learning lossDiffusion models → Audio, speech and music
- Unsupervised speech enhancement with diffusion-based generative modelsDiffusion models → Audio, speech and music
- Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking Imitation-based Planner for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model AccelerationDiffusion models → Diffusion foundations and sampling
- Improving CLIP Robustness with Knowledge Distillation and Self-TrainingKnowledge distillation → Multimodal distillation
- Explaining Agent Behavior with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FRAMU: Attention-based Machine Unlearning using Federated Reinforcement LearningLLM safety and security → Federated unlearning and poisoning
- Diffusion Methods for Generating Transition PathsDiffusion models → Flow matching, time series and science
- Revisiting and Improving Retrieval-Augmented Deep Assertion GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsLLM safety and security → Jailbreaking
- Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
- Improved vectorization of OpenCV algorithms for RISC-V CPUs
- Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning
- MatGD: Materials Graph Digitizer
- OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond
- Enhancing Health Data Interoperability with Large Language Models: A FHIR Study
- Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
- Nebula: Self-Attention for Dynamic Malware Analysis
- Extreme Image Transformations Facilitate Robust Latent Object Representations
- Generative AI in the Construction Industry: Opportunities & Challenges
- Training neural mapping schemes for satellite altimetry with simulation data
- Corporate Credit Rating: A Survey
- Weakly Supervised Reasoning by Neuro-Symbolic Approaches
- A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization
- Ad-load Balancing via Off-policy Learning in a Content Marketplace
- MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
- DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning
- In-Context Learning for Text Classification with Many Labels
- Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
- LMDX: Language Model-based Document Information Extraction and Localization
- A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field
- Benchmarks for Pir'a 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change
- A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries
- A Family of Pretrained Transformer Language Models for Russian
- Test-Time Training for Speech
- Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
- Semi-Autoregressive Streaming ASR With Label Context
- Semi-automatic staging area for high-quality structured data extraction from scientific literature
- Posterior Contraction Rates for Mat'ern Gaussian Processes on Riemannian Manifolds
- End-to-End Speech Recognition Contextualization with Large Language Models
- What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
- Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
- Multicopy Reinforcement Learning Agents
- Incremental Multimodal Surface Mapping via Self-Organizing Gaussian Mixture Models
- RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans
- PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental Segmentation
- Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
- Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer
- Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning
- GelSight Svelte: A Human Finger-shaped Single-camera Tactile Robot Finger with Large Sensing Coverage and Proprioceptive Sensing
- Classifying Organizations for Food System Ontologies using Natural Language Processing
- DeepliteRT: Computer Vision at the Edge
- Believable Minecraft Settlements by Means of Decentralised Iterative Planning
- Dynamical Tests of a Deep-Learning Weather Prediction Model
- On-device Real-time Custom Hand Gesture Recognition
- Using AI Uncertainty Quantification to Improve Human Decision-Making
- Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
- CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction
- Analysing race and sex bias in brain age prediction
- Communication-Efficient Federated Learning via Regularized Sparse Random Networks
- SlimPajama-DC: Understanding Data Combinations for LLM Training
- PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
- Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science
- Semantic Text Compression for Classification
- AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
- Multi-Context Dual Hyper-Prior Neural Image Compression
- Heuristic Search for Path Finding with Refuelling
- Multi-spectral Entropy Constrained Neural Compression of Solar Imagery
- AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models
- Context-Aware Neural Video Compression on Solar Dynamics Observatory
- Language as the Medium: Multimodal Video Classification through text only
- O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds
- Semi-supervised Domain Adaptation in Graph Transfer Learning
- Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
- FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection
- MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings
- A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
- SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction
- Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios
- MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation
- Monte-Carlo tree search with uncertainty propagation via optimal transport
- Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
- GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
- PAMS: Platform for Artificial Market Simulations
- Few-Shot Panoptic Segmentation With Foundation Models
- Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
All 251
- Sound Source Localization is All about Cross-Modal Alignment
- LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning
- Interpret Vision Transformers as ConvNets with Dynamic Convolutions
- Latent Space Energy-based Model for Fine-grained Open Set Recognition
- OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
- Measurement Simplification in ρ-POMDP with Performance Guarantees
- "With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education
- ReShader: View-Dependent Highlights for Single Image View-Synthesis
- On the different regimes of Stochastic Gradient Descent
- Locally Stylized Neural Radiance Fields
- Learning to Initialize Trajectory Optimization for Vision-Based Autonomous Flight in Unknown Environments
- Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
- Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation
- Language Modeling Is Compression
- Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
- NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages
- Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application
- Learning Adaptive Safety for Multi-Agent Systems
- A spectrum of physics-informed Gaussian processes for regression in engineering
- CFGPT: Chinese Financial Assistant with Large Language Model
- MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images
- Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation
- Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition
- Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
- KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
- Geometric structure of Deep Learning networks and construction of global mathcal L2 minimizers
- NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems
- Large language models can accurately predict searcher preferences
- Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image
- A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
- Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle
- An Extendable Python Implementation of Robust Optimisation Monte Carlo
- Improving Medical Dialogue Generation with Abstract Meaning Representations
- FRACAS: A FRench Annotated Corpus of Attribution relations in newS
- Asteroids co-orbital motion classification based on Machine Learning
- Unsupervised Deep Cross-Language Entity Alignment
- Motif-Centric Representation Learning for Symbolic Music
- Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing
- NDDepth: Normal-Distance Assisted Monocular Depth Estimation
- Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects
- Adversarial Attacks Against Uncertainty Quantification
- PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring
- Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
- Multimodal Modeling For Spoken Language Identification
- A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
- A multimodal deep learning architecture for smoking detection with a small data approach
- Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization
- A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
- An overview of some mathematical techniques and problems linking 3D vision to 3D printing
- Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies
- Model Leeching: An Extraction Attack Targeting LLMs
- OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement
- Decoupling the Curve Modeling and Pavement Regression for Lane Detection
- A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
- Retinex-guided Channel-grouping based Patch Swap for Arbitrary Style Transfer
- SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations
- NSOAMT -- New Search Only Approach to Machine Translation
- Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition
- Edge-aware Feature Aggregation Network for Polyp Segmentation
- Visible and NIR Image Fusion Algorithm Based on Information Complementarity
- Spatial-Assistant Encoder-Decoder Network for Real Time Semantic Segmentation
- Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
- Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
- Partially Specified Causal Simulations
- Uncertainty Estimation in Instance Segmentation with Star-convex Shapes
- Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
- Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
- A Configurable Library for Generating and Manipulating Maze Datasets
- An Evaluation of GPT-4 on the ETHICS Dataset
- DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs
- Exploring Sentence Type Effects on the Lombard Effect and Intelligibility Enhancement: A Comparative Study of Natural and Grid Sentences
- RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
- LineMarkNet: Line Landmark Detection for Valet Parking
- Fully automated landmarking and facial segmentation on 3D photographs
- Exploring the Dark Side of AI: Advanced Phishing Attack Design and Deployment Using ChatGPT
- Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
- Human-AI Interactions and Societal Pitfalls
- Toward Unified Controllable Text Generation via Regular Expression Instruction
- Coreset selection can accelerate quantum machine learning models with provable generalization
- Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder
- Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
- Writer-Defined AI Personas for On-Demand Feedback Generation
- Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
- Predicate Classification Using Optimal Transport Loss in Scene Graph Generation
- Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
- Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare
- Exploring Different Levels of Supervision for Detecting and Localizing Solar Panels on Remote Sensing Imagery
- Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants
- Graph Neural Networks for Dynamic Modeling of Roller Bearing
- PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems
- Unsupervised Learning via Network-Aware Embeddings
- Minimum width for universal approximation using ReLU networks on compact domain
- PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
- Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
- Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2
- Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
- SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis
- Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
- Pointing out Human Answer Mistakes in a Goal-Oriented Visual Dialogue
- Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs
- Geometric structure of shallow neural networks and constructive mathcal L2 cost minimization
- GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild
- Toward efficient resource utilization at edge nodes in federated learning
- Testable Likelihoods for Beyond-the-Standard Model Fits
- OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
- Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning
- RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing
- Language Guided Adversarial Purification
- Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression
- KoBigBird-large: Transformation of Transformer for Korean Language Understanding
- FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction
- Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail
- Information geometric bound on general chemical reaction networks
- Learning based 2D Irregular Shape Packing
- Computational Approaches for App-to-App Retrieval and Design Consistency Check
- QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation
- Metastatic Breast Cancer Prognostication Through Multimodal Integration of Dimensionality Reduction Algorithms and Classification Algorithms
- Multi-dimension Queried and Interacting Network for Stereo Image Deraining
- Who to Trust, How and Why: Untangling AI Ethics Principles, Trustworthiness and Trust
- Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration
- Rigorously Assessing Natural Language Explanations of Neurons
- TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
- Baichuan 2: Open Large-scale Language Models
- Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
- Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
- Using fine-tuning and min lookahead beam search to improve Whisper
- Learning Orbitally Stable Systems for Diagrammatically Teaching
- Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition
- QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
- Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling
- AstroPortal: An ontology repository concept for astronomy, astronautics and other space topics
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
- Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio
- 360^circ Reconstruction From a Single Image Using Space Carved Outpainting
- Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks
- Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi
- Using an Uncrewed Surface Vehicle to Create a Volumetric Model of Non-Navigable Rivers and Other Shallow Bodies of Water
- Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence
- RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
- LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
- What is the Best Automated Metric for Text to Motion Generation?
- UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
- Transferable Adversarial Attack on Image Tampering Localization
- PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models
- On Explicit Curvature Regularization in Deep Generative Models
- Multi-fidelity climate model parameterization for better generalization and extrapolation
- LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
- Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer
- Multi-level feature fusion network combining attention mechanisms for polyp segmentation
- An Empirical Study of Attention Networks for Semantic Segmentation
- Safe POMDP Online Planning via Shielding