Papers
Wed 4 Sep 2024
240 papers
- SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization TechniquesDiffusion models → Image generation, text-to-image and editing
- NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API CallsLLM agents and tool use → Tool learning and function calling
- Spatial Diffusion for Cell Layout GenerationDiffusion models → Medical imaging and segmentation
- Large Language Model-Based Agents for Software Engineering: A SurveyLLM agents and tool use → Software engineering coding agents
- HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsDiffusion models → Diffusion foundations and sampling
- Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical SamplingDiffusion models → Discrete and text diffusion
- LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid ArchitectureMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Hybrid Imitation-Learning Motion Planner for Urban DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Language Model Powered Digital Biology with BRADRetrieval-augmented generation → Medical and biomedical RAG
- Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion ModelDiffusion models → Audio, speech and music
- CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsLLM reasoning → Multimodal reasoning +1
- ExpLLM: Towards Chain of Thought for Facial Expression RecognitionLLM reasoning → Audio-language model reasoning
- Towards a Unified View of Preference Learning for Large Language Models: A SurveyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- UnLearning from Experience to Avoid Spurious CorrelationsLLM safety and security → Machine unlearning
- Tractable Offline Learning of Regular Decision ProcessesOffline RL and imitation learning from data → Offline RL algorithms
- Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation LearningOffline RL and imitation learning from data → Safe offline RL
- Collaborative Learning for Enhanced Unsupervised Domain AdaptationKnowledge distillation → General knowledge distillation methods
- Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling ProblemOffline RL and imitation learning from data → Offline RL algorithms
- Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMsLLM reasoning → Causal reasoning in LLMs
- RouterRetriever: Routing over a Mixture of Expert Embedding ModelsMixture-of-experts → Expert routing strategies
- Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Generalized Individual Q-learning for Polymatrix Games with Partial ObservationsDeep reinforcement learning methods → Multi-agent reinforcement learning
- Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any ObjectsDiffusion models → 3D, point cloud and scene generation
- Emergent Language: A Survey and TaxonomyLLM reasoning → Reasoning for agents, planning and code
- MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric VideosDiffusion models → Diffusion and flow policies for robotics +1
- Mamba as a motion encoder for robotic imitation learningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
- Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion DependencyDiffusion models → Audio, speech and music
- GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question AnsweringLLM reasoning → Multimodal reasoning
- Context-Aware Reasoning On Parametric Knowledge for Inferring Causal VariablesLLM reasoning → Causal reasoning in LLMs +1
- Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- Solving Video Inverse Problems Using Image Diffusion ModelsDiffusion models → Inverse problems and image restoration
- GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
- StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Cog-GA: A Large Language Models-based Generative Agent for Vision-Language Navigation in Continuous EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven PromptsLLM reasoning → Reasoning benchmarks and evaluation
- Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience RehearsalOffline RL and imitation learning from data → Decision transformers and sequence modeling
- eRSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- DetectiveQA: Evaluating Long-Context Reasoning on Detective NovelsLLM reasoning → Reasoning benchmarks and evaluation
- Non-target Divergence Hypothesis: Toward Understanding Domain Gaps in Cross-Modal Knowledge DistillationKnowledge distillation → Multimodal distillation
- Training-free Color-Style Disentanglement for Constrained Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective ReinforcementLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional DistributionsDiffusion models → Diffusion foundations and sampling
- Enhancing Information Freshness: An AoI Optimized Markov Decision ProcessDeep reinforcement learning methods → RL for robot navigation and UAV control
- MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal PrecisionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- MOSMOS: Multi-organ segmentation facilitated by medical report supervisionMultimodal LLMs / vision-language models → Medical vision-language models
- Building Math Agents with Multi-Turn Iterative Preference LearningLLM reasoning → Mathematical reasoning +2
- Multi-modal Situated Reasoning in 3D ScenesLLM reasoning → Spatial and embodied reasoning +1
- Reinforcement Learning for Wheeled Mobility on Vertically Challenging TerrainDeep reinforcement learning methods → RL for autonomous driving and traffic
- Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image EditingDiffusion models → Diffusion foundations and sampling
- Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for RetrievalRetrieval-augmented generation → Generation and context integration
- Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
- Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks
- Irrelevant Alternatives Bias Large Language Model Hiring Decisions
- Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
- Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network
- Prompt Baking
- Brain-Inspired AI with Hyperbolic Geometry
- Wavelet GPT: Wavelet Inspired Large Language Models
- Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
- RTLRewriter: Methodologies for Large Models aided RTL Code Optimization
- ISO: Overlap of Computation and Communication within Seqenence For LLM Inference
- TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic
- Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
- MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
- Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation
- Security Implications and Mitigation Strategies in MPLS Networks
- Evaluating Machine Learning-based Skin Cancer Diagnosis
- Inverse decision-making using neural amortized Bayesian actors
- Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
- Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data Synthesis
- Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)
- Subsidy design for better social outcomes
- Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena
- Probing self-attention in self-supervised speech models for cross-linguistic differences
- Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated Vehicles
- MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation
- RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
- Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources
- Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation
- Backdoor defense, learnability and obfuscation
- MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
- Incorporating dense metric depth into neural 3D representations for view synthesis and relighting
- Efficiently Computing Compact Formal Explanations
- Quantification of stylistic differences in human- and ASR-produced transcripts of African American English
- An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
- Oddballness: universal anomaly detection with language models
- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
- MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes
- A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering
- No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
- NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks
- Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
- CLUE: Concept-Level Uncertainty Estimation for Large Language Models
- Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications
- PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain
- How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
- Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors
All 240
- Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
- SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis
- Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methods
- LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
- Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
- Fair Clustering with Minimum Representation Constraints
- RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)
- UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views
- SITAR: Semi-supervised Image Transformer for Action Recognition
- Topological Methods in Machine Learning: A Tutorial for Practitioners
- LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
- Regional data-driven weather modeling with a global stretched-grid
- CanvOI, an Oncology Intelligence Foundation Model: Scaling FLOPS Differently
- Multi-stream deep learning framework to predict mild cognitive impairment with Rey Complex Figure Test
- Benchmarking Spurious Bias in Few-Shot Image Classifiers
- Configurable Foundation Models: Building LLMs from a Modular Perspective
- Look Into the LITE in Deep Learning for Time Series Classification
- The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition
- Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure
- Building a Scalable, Effective, and Steerable Search and Ranking Platform
- Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning
- MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling
- SNNAX -- Spiking Neural Networks in JAX
- Historical German Text Normalization Using Type- and Token-Based Language Modeling
- R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education
- iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
- Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
- Automatic facial axes standardization of 3D fetal ultrasound images
- Deep Learning Meets Satellite Images -- An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images
- Obsidian: Cooperative State-Space Exploration for Performant Inference on Secure ML Accelerators
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
- A hybrid FEM-PINN method for time-dependent partial differential equations
- Towards Edge-Based Data Lake Architecture for Intelligent Transportation System
- Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble
- Governing dual-use technologies: Case studies of international security agreements and lessons for AI governance
- Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
- Unifying Causal Representation Learning with the Invariance Principle
- Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images
- An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
- A Comparative Study of Pre-training and Self-training
- Convolutional Neural Networks for Automated Cellular Automaton Classification
- Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties
- Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
- Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
- Pre-training data selection for biomedical domain adaptation using journal impact metrics
- "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
- A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations
- Creating a Gen-AI based Track and Trace Assistant MVP (SuperTracy) for PostNL
- Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit
- Incorporating Like-Minded Peers to Overcome Friend Data Sparsity in Session-Based Social Recommendations
- The Role of Artificial Intelligence and Machine Learning in Software Testing
- LLM-Assisted Visual Analytics: Opportunities and Challenges
- Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram
- Neural timescales from a computational perspective
- Rethinking HTG Evaluation: Bridging Generation and Recognition
- Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
- Improved Single Camera BEV Perception Using Multi-Camera Training
- Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening
- Independence Constrained Disentangled Representation Learning from Epistemological Perspective
- Causality-Aware Transformer Networks for Robotic Navigation
- Introduction to Machine Learning
- Creating Domain-Specific Translation Memories for Machine Translation Fine-tuning: The TRENCARD Bilingual Cardiology Corpus
- PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
- OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
- Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design
- Learning-Based Error Detection System for Advanced Vehicle Instrument Cluster Rendering
- Conformal Prediction in Dynamic Biological Systems
- Evaluating Environments Using Exploratory Agents
- AdvSecureNet: A Python Toolkit for Adversarial Machine Learning
- (Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
- PUB: Plot Understanding Benchmark and Dataset for Evaluating Large Language Models on Synthetic Visual Data Interpretation
- A Medical Multimodal Large Language Model for Pediatric Pneumonia
- A Fashion Item Recommendation Model in Hyperbolic Space
- SurgTrack: CAD-Free 3D Tracking of Real-world Surgical Instruments
- An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
- Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
- BMI Prediction from Handwritten English Characters Using a Convolutional Neural Network
- Object Gaussian for Monocular 6D Pose Estimation from Sparse Views
- AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
- More is More: Addition Bias in Large Language Models
- Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation
- How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations
- One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
- Vision-Language Navigation with Continual Learning
- Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation
- A Sequential Decision-Making Model for Perimeter Identification
- Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example
- UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching
- Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models
- Sample what you cant compress
- Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems
- SG-MIM: Structured Knowledge Guided Efficient Pre-training for Dense Prediction
- TLD: A Vehicle Tail Light signal Dataset and Benchmark
- A Learnable Color Correction Matrix for RAW Reconstruction
- CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
- Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation
- Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine
- TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
- NeuroSpex: Neuro-Guided Speaker Extraction with Cross-Modal Attention
- Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
- Adversarial Attacks on Machine Learning-Aided Visualizations
- TASAR: Transfer-based Attack on Skeletal Action Recognition
- Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes
- PQ-GCN: Enhancing Text Graph Question Classification with Phrase Features
- A Comparative Study on Large Language Models for Log Parsing
- Demographic parity in regression and classification within the unawareness framework
- FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings
- Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP
- What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations
- Detecting Korean Food Using Image using Hierarchical Model
- ForeCal: Random Forest-based Calibration for DNNs
- Adversarial Learning for Neural PDE Solvers with Sparse Data
- Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
- Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
- Accelerating Large Language Model Training with Hybrid GPU-based Compression
- Relative Translation Invariant Wasserstein Distance
- Local Map Construction with SDMap: A Comprehensive Survey
- Abstractive Text Summarization: State of the Art, Challenges, and Improvements
- Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution
- Hadamard Row-Wise Generation Algorithm
- Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
- Determination of language families using deep learning
- Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Translation
- Neural Dynamics Model of Visual Decision-Making: Learning from Human Experts
- Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
- Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
- Unified Framework with Consistency across Modalities for Human Activity Recognition
- STAB: Speech Tokenizer Assessment Benchmark
- GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving
- Coral Model Generation from Single Images for Virtual Reality Applications
- How Privacy-Savvy Are Large Language Models? A Case Study on Compliance and Privacy Technical Review
- Unfolding Videos Dynamics via Taylor Expansion
- Do Large Language Models Possess Sensitive to Sentiment?
- Pluralistic Salient Object Detection
- Optimal Neural Network Approximation for High-Dimensional Continuous Functions
- Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective
- Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling
- Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA
- Optimal sampling for least-squares approximation
- Data-driven 2D stationary quantum droplets and wave propagations in the amended GP equation with two potentials via deep neural networks learning