Papers
Mon 29 Jan 2024
262 papers
- The Reasoning Under Uncertainty Trap: A Structural AI RiskLLM reasoning → Test-time compute and efficient thinking
- Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical SpecialtiesRetrieval-augmented generation → Medical and biomedical RAG
- OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- Assistive Large Language Model Agents for Socially-Aware Negotiation DialoguesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study ReportRetrieval-augmented generation → Medical and biomedical RAG
- Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling ProblemDeep reinforcement learning methods → RL for energy, networks and operations
- Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion PriorsDiffusion models → Image generation, text-to-image and editing
- Context-Former: Stitching via Latent Conditioned Sequence ModelingOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Zero-shot Imitation Policy via Search in Demonstration DatasetOffline RL and imitation learning from data → Imitation learning methods
- PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in PathologyMultimodal LLMs / vision-language models → Medical vision-language models
- Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free DesignDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Tradeoffs Between Alignment and Helpfulness in Language Models with Steering MethodsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning AlgorithmsDeep reinforcement learning methods → RL for energy, networks and operations
- An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential FactorsLLM reasoning → Reasoning for agents, planning and code
- Towards Red Teaming in Multimodal and Multilingual TranslationLLM safety and security → Prompt injection and agent security
- Diffutoon: High-Resolution Editable Toon Shading via Diffusion ModelsDiffusion models → Video generation
- LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability ReasoningLLM reasoning → Reasoning for agents, planning and code
- Scalable Reinforcement Learning for Linear-Quadratic Control of NetworksDeep reinforcement learning methods → RL for games and combinatorial optimization
- LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual PerceptionLLM agents and tool use → GUI and mobile agents
- Spatial-Aware Latent Initialization for Controllable Image GenerationDiffusion models → Image generation, text-to-image and editing
- Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic DiagnosisLLM agents and tool use → Medical and scientific domain agents
- Type-based Neural Link Prediction Adapter for Complex Query AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Simple Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic ArchitecturesLLM reasoning → Multimodal reasoning
- DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication SystemsDiffusion models → Diffusion for compression and wireless
- SERL: A Software Suite for Sample-Efficient Robotic Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Routers in Vision Mixture of Experts: An Empirical StudyMixture-of-experts → Vision mixture-of-experts
- Scalable Federated Unlearning via Isolated and Coded ShardingLLM safety and security → Federated unlearning and poisoning
- MoE-LLaVA: Mixture of Experts for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- EmoDM: A Diffusion Model for Evolutionary Multi-objective OptimizationDiffusion models → Diffusion foundations and sampling
- Blockchain-enabled Trustworthy Federated UnlearningLLM safety and security → Federated unlearning and poisoning
- Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Red-Teaming for Generative AI: Silver Bullet or Security Theater?LLM safety and security → Prompt injection and agent security
- M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient PretrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Corrective Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity MarketsDeep reinforcement learning methods → RL for energy, networks and operations
- Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph InformationDeep reinforcement learning methods → RL for energy, networks and operations
- Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQAMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Transparency Attacks: How Imperceptible Image Layers Can Fool AI PerceptionLLM safety and security → Backdoor and data poisoning attacks
- Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
- Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation
- Betting on what is neither verifiable nor falsifiable
- Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation
- Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Renderers
- Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
- Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC System
- Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
- Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
- From GARCH to Neural Network for Volatility Forecast
- Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
- A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
- 3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
- Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
- Towards Optimizing the Costs of LLM Usage
- Reducing Selection Bias in Large Language Models
- C4Q: A Chatbot for Quantum
- SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations
- VIALM: A Survey and Benchmark of Visually Impaired Assistance with Large Models
- CFTM: Continuous time fractional topic model
- TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting
- A technical note for the 91-clauses SAT resolution with Indirect QAOA based approach
- Merging plans with incomplete knowledge about actions and goals through an agent-based reputation system
- Enhanced Sound Event Localization and Detection in Real 360-degree audio-visual soundscapes
- Spectral Co-Distillation for Personalized Federated Learning
- Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
- A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
- Algebraic Complexity and Neurovariety of Linear Convolutional Networks
- Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems
- Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function
- Depth Anything in Medical Images: A Comparative Study
- PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
- Consistent algorithms for multi-label classification with macro-at-k metrics
- ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
- A Linguistic Comparison between Human and ChatGPT-Generated Conversations
- Massively Multilingual Text Translation For Low-Resource Languages
- Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
- LLMs as On-demand Customizable Service
- Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking
- Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
- Autoencoder-Based Domain Learning for Semantic Communication with Conceptual Spaces
- Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
- Topological Detection of Phenomenological Bifurcations with Unreliable Kernel Densities
- Multi-class Regret Detection in Hindi Devanagari Script
- IEEE BigData 2023 Keystroke Verification Challenge (KVC)
- Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
- SelectLLM: Can LLMs Select Important Instructions to Annotate?
- Deep Learning for Multi-Label Learning: A Comprehensive Survey
- GuReT: Distinguishing Guilt and Regret related Text
- Efficient Observation Time Window Segmentation for Administrative Data Machine Learning
- Democratizing the Creation of Animatable Facial Avatars
- Dropout Concrete Autoencoder for Band Selection on HSI Scenes
- Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models
- MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval
- Extending the kinematic theory of rapid movements with new primitives
- AFSD-Physics: Exploring the governing equations of temperature evolution during additive friction stir deposition by a human-AI teaming approach
- A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data
- GPU Cluster Scheduling for Network-Sensitive Deep Learning
All 262
- Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
- InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
- InstructIR: High-Quality Image Restoration Following Human Instructions
- ReGAL: Refactoring Programs to Discover Generalizable Abstractions
- DressCode: Autoregressively Sewing and Generating Garments from Text Guidance
- Towards Regret Free Slot Allocation in Billboard Advertisement
- Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
- Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
- Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending
- Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
- SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
- KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants
- Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
- Computer Vision for Primate Behavior Analysis in the Wild
- Synchformer: Efficient Synchronization from Sparse Cues
- Strategic Usage in a Multi-Learner Setting
- Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
- Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors
- Boolean Logic as an Error feedback mechanism
- Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
- Learning to Manipulate under Limited Information
- ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
- Is K-fold cross validation the best model selection method for Machine Learning?
- Scaling Sparse Fine-Tuning to Large Language Models
- ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
- A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
- Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction
- Continual Learning with Pre-Trained Models: A Survey
- Learning logic programs by finding minimal unsatisfiable subprograms
- Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
- Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
- Bayesian optimization as a flexible and efficient design framework for sustainable process systems
- TQCompressor: improving tensor decomposition methods in neural networks via permutations
- Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
- cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
- Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
- FedFair^3: Unlocking Threefold Fairness in Federated Learning
- ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
- Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis
- Cross-Modal Coordination Across a Diverse Set of Input Modalities
- Synthesis of 3D on-air signatures with the Sigma-Lognormal model
- PICL: Physics Informed Contrastive Learning for Partial Differential Equations
- A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
- Defining and Extracting generalizable interaction primitives from DNNs
- Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets
- MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
- Regressing Transformers for Data-efficient Visual Place Recognition
- Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
- Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation
- Dual feature-based and example-based explanation methods
- Textual Entailment for Effective Triple Validation in Object Prediction
- MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
- GAPS: Geometry-Aware Problem Solver
- Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection
- Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation
- MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification
- Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model
- Capturing Knowledge Graphs and Rules with Octagon Embeddings
- CO2: Efficient Distributed Training with Full Communication-Computation Overlap
- MosquIoT: A System Based on IoT and Machine Learning for the Monitoring of Aedes aegypti (Diptera: Culicidae)
- Cross-silo Federated Learning with Record-level Personalized Differential Privacy
- Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
- Effective Communication with Dynamic Feature Compression
- Player Pressure Map -- A Novel Representation of Pressure in Soccer for Evaluating Player Performance in Different Game Contexts
- Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis
- Learning big logical rules by joining small rules
- MultiMUC: Multilingual Template Filling on MUC-4
- Contracting with a Learning Agent
- Geospatial Disparities: A Case Study on Real Estate Prices in Paris
- Contributing Dimension Structure of Deep Feature for Coreset Selection
- AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
- FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction
- An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project
- Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning
- LLaMandement: Large Language Models for Summarization of French Legislative Proposals
- A Survey on Structure-Preserving Graph Transformers
- Reconstructing Close Human Interactions from Multiple Views
- "You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations
- Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
- Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
- X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
- Neural Network Training on Encrypted Data with TFHE
- BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules
- CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images
- On the generalization of learned constraints for ASP solving in temporal domains
- Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers
- DeFlow: Decoder of Scene Flow Network in Autonomous Driving
- Triple Disentangled Representation Learning for Multimodal Affective Analysis
- SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection
- A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography
- Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
- Federated unsupervised random forest for privacy-preserving patient stratification
- Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
- Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
- High Resolution Image Quality Database
- Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation
- Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation
- Find the Cliffhanger: Multi-Modal Trailerness in Soap Operas
- Neuromorphic Valence and Arousal Estimation
- Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing
- Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
- Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
- Second Order Kinematic Surface Fitting in Anatomical Structures
- Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
- Combined track finding with GNN & CKF
- Finding Challenging Metaphors that Confuse Pretrained Language Models
- GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
- AccessLens: Auto-detecting Inaccessibility of Everyday Objects
- Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention
- Deep Embedding Clustering Driven by Sample Stability
- Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling
- Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
- StableIdentity: Inserting Anybody into Anywhere at First Sight
- Sample Weight Estimation Using Meta-Updates for Online Continual Learning
- HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
- Response Generation for Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioning
- Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
- NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
- A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
- TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features
- AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
- Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing
- Generating Multi-Center Classifier via Conditional Gaussian Distribution
- Motion-induced error reduction for high-speed dynamic digital fringe projection system
- MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
- HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage Research
- E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
- Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution
- Distribution-consistency Structural Causal Models
- Toward the Identifiability of Comparative Deep Generative Models
- A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
- MV2MAE: Multi-View Video Masked Autoencoders
- Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
- Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation
- Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems
- Sliced Wasserstein with Random-Path Projecting Directions
- Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue
- Rectify the Regression Bias in Long-Tailed Object Detection
- Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability
- lil'HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap
- 3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration
- Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
- Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
- A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Management
- Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
- LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
- Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
- Importance-Aware Adaptive Dataset Distillation
- BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining
- Diffusion Facial Forgery Detection
- The Indoor-Training Effect: unexpected gains from distribution shifts in the transition function
- Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing
- LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts
- Meta-Learning for Neural Network-based Temporal Point Processes
- LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering
- 2L3: Lifting Imperfect Generated 2D Images into Accurate 3D
- Emergent Explainability: Adding a causal chain to neural network inference
- Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers
- Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
- Knowledge-Aware Neuron Interpretation for Scene Classification
- OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation
- Green Runner: A tool for efficient deep learning component selection