Papers
Tue 9 Apr 2024
255 papers
- Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence AnalysisDeep reinforcement learning methods → RL for energy, networks and operations
- MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Emergent Braitenberg-style Behaviours for Navigating the ViZDoom `My Way Home' LabyrinthDeep reinforcement learning methods → RL for robot navigation and UAV control
- InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MoReVQA: Exploring Modular Reasoning Models for Video Question AnsweringLLM reasoning → Multimodal reasoning
- Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying PerspectiveDeep reinforcement learning methods → RL for games and combinatorial optimization
- Visually Descriptive Language Model for Vector Graphics ReasoningLLM reasoning → Multimodal reasoning +1
- PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant CircuitsMechanistic interpretability → Circuits and mechanistic analysis
- Magic-Boost: Boost 3D Generation with Multi-View Conditioned DiffusionDiffusion models → 3D, point cloud and scene generation
- Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel ConstraintsDeep reinforcement learning methods → RL for robot navigation and UAV control
- AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Rethinking How to Evaluate Language Model JailbreakLLM reasoning → Reasoning for agents, planning and code +1
- Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO GeometryLLM reasoning → Spatial and embodied reasoning
- Latent Distance Guided Alignment Training for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Policy-Guided DiffusionWorld models → Latent dynamics models and model-based RL +1
- High Noise Scheduling is a MustDiffusion models → Diffusion foundations and sampling
- RAR-b: Reasoning as Retrieval BenchmarkLLM reasoning → Knowledge- and tool-augmented reasoning
- AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong LearningEnd-to-end autonomous driving → Large language models for driving
- Quantum State Generation with Structure-Preserving Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Robust feature knowledge distillation for enhanced performance of lightweight crack segmentation modelsKnowledge distillation → Detection and dense prediction distillation
- Anchor-based Robust Finetuning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as TeachersKnowledge distillation → Multimodal distillation
- scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating samplingDiffusion models → Flow matching, time series and science
- DiffHarmony: Latent Diffusion Model Meets Image HarmonizationDiffusion models → Image generation, text-to-image and editing
- Hash3D: Training-free Acceleration for 3D GenerationDiffusion models → 3D, point cloud and scene generation
- A RAG Method for Source Code Inquiry Tailored to Long-Context LLMsRetrieval-augmented generation → RAG for code
- Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SADeep reinforcement learning methods → RL theory and sample complexity
- Event-enhanced Retrieval in Real-time SearchRetrieval-augmented generation → Generation and context integration
- Tackling Structural Hallucination in Image Translation with Local DiffusionDiffusion models → Medical imaging and segmentation
- Does Transformer Interpretability Transfer to RNNs?State-space sequence models (S4, Mamba) → Core SSM architectures for language
- Optimization Methods for Personalizing Large Language Models through Retrieval AugmentationRetrieval-augmented generation → RAG pipeline design and evaluation
- THOUGHTSCULPT: Reasoning with Intermediate Revision and SearchLLM reasoning → Test-time compute and efficient thinking
- VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Efficient Multi-Task Reinforcement Learning via Task-Specific Action CorrectionDeep reinforcement learning methods → Deep RL algorithms and representations
- Kermut: Composite kernel regression for protein variant effects
- Traitement quantique des langues : 'etat de l'art
- End-to-End Rate-Distortion Optimized 3D Gaussian Representation
- Exploring the limitations of blood pressure estimation using the photoplethysmography signal
- GUIDE: Graphical User Interface Data for Execution
- Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
- Text2Grasp: Grasp synthesis by text prompts of object grasping parts
- "Hey..! This medicine made me sick": Sentiment Analysis of User-Generated Drug Reviews using Machine Learning Techniques
- Graph Vertex Embeddings: Distance, Regularization and Community Detection
- Towards Building a Robust Toxicity Predictor
- A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions
- Extractive text summarisation of Privacy Policy documents using machine learning approaches
- Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
- Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
- Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
- GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
- Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
- Radiomics and artificial Intelligence for thyroid cancer diagnosis: Concepts, challenges, and solutions
- Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces
- Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
- From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution
- GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
- Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?
- Federated learning model for predicting major postoperative complications
- SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation
- GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
- Evolving Loss Functions for Specific Image Augmentation Techniques
- Counting Objects in a Robotic Hand
- Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
- What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
- FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
- GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
- RoadBEV: Road Surface Reconstruction in Bird's Eye View
- Collaborative Multi-source Domain Adaptation Through Optimal Transport
- Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
- Leveraging Latents for Efficient Thermography Classification and Segmentation
- Lecture notes on rough paths and applications to machine learning
- Less is More for Improving Automatic Evaluation of Factual Consistency
- Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery
- Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
- Learning Strategies For Successful Crowd Navigation
- The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios
- Variational Stochastic Gradient Descent for Deep Neural Networks
- Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
- Learning to rank quantum circuits for hardware-optimized performance enhancement
- An Enhanced Grey Wolf Optimizer with Elite Inheritance and Balance Search Mechanisms
- On the Effect of (Near) Duplicate Subwords in Language Modelling
- Reconstructing Hand-Held Objects in 3D from Images and Videos
- Comparing Two Model Designs for Clinical Note Generation; Is an LLM a Useful Evaluator of Consistency?
- Simultaneous linear connectivity of neural networks modulo permutation
- Flying with Photons: Rendering Novel Views of Propagating Light
- Pitfalls of Conversational LLMs on News Debiasing
- GO4Align: Group Optimization for Multi-Task Alignment
- Public-private funding models in open source software development: A case study on scikit-learn
- RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement
- GeoDirDock: Guiding Docking Along Geodesic Paths
- Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
- Autonomous Evaluation and Refinement of Digital Agents
- A Dataset and Framework for Learning State-invariant Object Representations
All 255
- Hyperparameter Selection in Continual Learning
- Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
- A comparative analysis of deep learning models for lung segmentation on X-ray images
- SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions
- Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
- The Central Spanning Tree Problem
- Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
- QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding
- Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
- pfl-research: simulation framework for accelerating research in Private Federated Learning
- ZeST: Zero-Shot Material Transfer from a Single Image
- Efficient Training of Probabilistic Neural Networks for Survival Analysis
- Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
- Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems
- Emergent Dynamics in Neural Cellular Automata
- Apprentices to Research Assistants: Advancing Research with Large Language Models
- Online Learning of Decision Trees with Thompson Sampling
- Dynamic Deep Learning Based Super-Resolution For The Shallow Water Equations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
- MuPT: A Generative Symbolic Music Pretrained Transformer
- Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis
- Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
- Raster Forge: Interactive Raster Manipulation Library and GUI for Python
- Model Generation with LLMs: From Requirements to UML Sequence Diagrams
- Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in Python
- WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs
- ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
- Dynamic Resolution Guidance for Facial Expression Recognition
- SurveyAgent: A Conversational System for Personalized and Efficient Research Survey
- Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation
- Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!
- DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning
- HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
- Rolling Shutter Correction with Intermediate Distortion Flow Estimation
- CausalBN-Bench: A Comprehensive Benchmark for Causal Learning Capability of LLMs
- Finding fake reviews in e-commerce platforms by using hybrid algorithms
- Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
- What is the textitintrinsic dimension of your binary data? -- and how to compute it quickly
- Automatically Learning HTN Methods from Landmarks
- Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
- Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
- On adversarial training and the 1 Nearest Neighbor classifier
- Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
- nEMO: Dataset of Emotional Speech in Polish
- Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
- LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
- Simple algorithms to test and learn local Hamiltonians
- Algorithms for Caching and MTS with reduced number of predictions
- NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata
- Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform
- Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
- Robust Confidence Intervals in Stereo Matching using Possibility Theory
- 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis
- PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
- Spatial-Temporal Multi-level Association for Video Object Segmentation
- Playing to Vision Foundation Model's Strengths in Stereo Matching
- Label-Efficient 3D Object Detection For Road-Side Units
- From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
- ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
- LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
- GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields
- ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
- Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
- Towards Robust Domain Generation Algorithm Classification
- Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
- Autonomous Driving Small-Scale Cars: A Survey of Recent Development
- Understanding Cross-Lingual Alignment -- A Survey
- Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
- Low-Cost Generation and Evaluation of Dictionary Example Sentences
- Zero-Shot Relational Learning for Multimodal Knowledge Graphs
- Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector
- Quantum Circuit C^*-algebra Net
- VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection
- [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
- OmniFusion Technical Report
- Unified Physical-Digital Attack Detection Challenge
- Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
- Leveraging edge detection and neural networks for better UAV localization
- Deep Learning Method for Computing Committor Functions with Adaptive Sampling
- Automated National Urban Map Extraction
- Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
- Further Understanding of a Local Gaussian Process Approximation: Characterising Convergence in the Finite Regime
- The impact of data set similarity and diversity on transfer learning success in time series forecasting
- Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
- Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
- EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
- YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images
- Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
- Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank
- scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
- Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications
- Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports
- Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
- Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
- HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields
- (Not) Understanding Latin Poetic Style with Deep Learning
- Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
- Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
- SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
- Efficient Concertormer for Image Deblurring and Beyond
- Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management
- Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
- FLEX: FLEXible Federated Learning Framework
- Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
- Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
- Detection of fields of applications in biomedical abstracts with the support of argumentation elements
- DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
- Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
- Revising Densification in Gaussian Splatting
- Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets
- Unifying Low Dimensional Spectra in Deep Learning
- A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on n-dimensional Classes
- Making Old Kurdish Publications Processable by Augmenting Available Optical Character Recognition Engines
- Fair Graph Neural Network with Supervised Contrastive Regularization
- Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
- The X-LANCE Technical Report for Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge
- Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
- LIPT: Latency-aware Image Processing Transformer
- Unified Entropy Optimization for Open-Set Test-Time Adaptation
- Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis
- Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
- Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning
- Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes
- Object Dynamics Modeling with Hierarchical Point Cloud-based Representations
- Space-Time Video Super-resolution with Neural Operator
- Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
- Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
- Band-Attention Modulation Network for Robust Face Forgery Detection
- Identifying Shopping Intent in Product QA for Proactive Recommendations
- Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem
- Feel-Good Thompson Sampling for Contextual Dueling Bandits
- Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
- Collaborative Edge AI Inference over Cloud-RAN
- AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval
- FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
- Privacy Preserving Prompt Engineering: A Survey
- Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
- AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts
- Polynomial-time derivation of optimal k-tree topology from Markov networks
- Automatic Authorities: Power and AI
- Boosting Digital Safeguards: Blending Cryptography and Steganography
- A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics
- StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
- A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
- JSTR: Judgment Improves Scene Text Recognition
- LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
- EasyTrack: Efficient and Compact One-stream 3D Point Clouds Tracker
- Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model
- Interplay of Machine Translation, Diacritics, and Diacritization
- Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
- Inclusive Practices for Child-Centered AI Design and Testing
- AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression
- Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis
- Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus
- LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation