Papers
Wed 6 Sep 2023
195 papers
- Distribution-Aware Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Efficient Baselines for Motion Prediction in Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- SADIR: Shape-Aware Diffusion Models for 3D Image ReconstructionDiffusion models → Medical imaging and segmentation
- REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous ManipulationOffline RL and imitation learning from data → Real-world robot offline RL
- Matcha-TTS: A fast TTS architecture with conditional flow matchingDiffusion models → Audio, speech and music
- My Art My Choice: Adversarial Protection Against Unruly AIDiffusion models → Robustness, privacy and adversarial aspects
- SLiMe: Segment Like MeMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Everyone Deserves A Reward: Learning Customized Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- MCM: Multi-condition Motion Synthesis Framework for Multi-scenarioDiffusion models → Video generation
- Leveraging ASR Pretrained Conformers for Speaker Verification through Transfer Learning and Knowledge DistillationKnowledge distillation → Speech and audio distillation
- A deep Natural Language Inference predictor without language-specific training dataKnowledge distillation → Knowledge distillation for LLMs
- Aligning Large Language Models for Clinical TasksLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Rethinking Momentum Knowledge Distillation in Online Continual LearningKnowledge distillation → Distillation for continual learning
- Knowledge Distillation Layer that Lets the Student DecideKnowledge distillation → General knowledge distillation methods
- Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterDiffusion models → Medical imaging and segmentation
- DMKD: Improving Feature-based Knowledge Distillation for Object Detection Via Dual Masking AugmentationKnowledge distillation → Detection and dense prediction distillation
- Certifying LLM Safety against Adversarial PromptingLLM safety and security → Jailbreaking
- Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- AI for Investment: A Platform Disruption
- Students Success Modeling: Most Important Factors
- A Contextual Topic Modeling and Content Analysis of Iranian laws and Regulations
- Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining
- AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications
- Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective
- ETP: Learning Transferable ECG Representations via ECG-Text Pre-training
- Narrative as a Dynamical System
- Addressing the Blind Spots in Spoken Language Processing
- Synthetic Text Generation using Hypergraph Representations
- Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
- Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions
- C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap
- A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
- A recommender for the management of chronic pain in patients undergoing spinal cord stimulation
- The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers
- Reasonable Anomaly Detection in Long Sequences
- A novel method for iris recognition using BP neural network and parallel computing by the aid of GPUs (Graphics Processing Units)
- Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction
- Kidney abnormality segmentation in thorax-abdomen CT scans
- Active shooter detection and robust tracking utilizing supplemental synthetic data
- RoDia: A New Dataset for Romanian Dialect Identification from Speech
- Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks
- ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
- Ensemble linear interpolators: The role of ensembling
- Source Camera Identification and Detection in Digital Videos through Blind Forensics
- Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images
- Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation
- Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
- MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
- CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
- Fitness Approximation through Machine Learning
- Robotic Table Tennis: A Case Study into a High Speed Learning System
- Comparative Analysis of Deep-Fake Algorithms
- Scalable Learning of Intrusion Responses through Recursive Decomposition
- CLEANing Cygnus A deep and fast with R2D2
- Let Quantum Neural Networks Choose Their Own Frequencies
- Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
- Graph Theory Applications in Advanced Geospatial Research
- Robust Visual Tracking by Motion Analyzing
- EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
- Testing properties of distributions in the streaming model
- EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
- Automated Bioinformatics Analysis via AutoBA
- GPT Can Solve Mathematical Problems Without a Calculator
- RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation
- Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
- Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation
- Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
- Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
- Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
- 3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia
- 3D Object Positioning Using Differentiable Multimodal Learning
- Gender-specific Machine Translation with Large Language Models
- PDiscoNet: Semantically consistent part discovery for fine-grained recognition
- Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach
- Split-Boost Neural Networks
- J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
- ResFields: Residual Neural Fields for Spatiotemporal Signals
- Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
- Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory
- The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits
- Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
- On strategies for risk management and decision making under uncertainty shared across multiple fields
- MyoDex: A Generalizable Prior for Dexterous Manipulation
- Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs
- Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features
- Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
- ContrastWSD: Enhancing Metaphor Detection with Word Sense Disambiguation Following the Metaphor Identification Procedure
- FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests
- GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
- Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks
- Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
- A Multimodal Analysis of Influencer Content on Twitter
- Prompt-based Ingredient-Oriented All-in-One Image Restoration
- Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
- CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
- Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection
- Adaptive Growth: Real-time CNN Layer Expansion
- Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications
- Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection
All 195
- A Refutation of Shapley Values for Explainability
- Automated CVE Analysis for Threat Prioritization and Impact Prediction
- An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection
- Deep Learning for Polycystic Kidney Disease: Utilizing Neural Networks for Accurate and Early Detection through Gene Expression Analysis
- Universal Preprocessing Operators for Embedding Knowledge Graphs with Literals
- SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
- Amortised Inference in Bayesian Neural Networks
- SymED: Adaptive and Online Symbolic Representation of Data on the Edge
- Sparse 3D Reconstruction via Object-Centric Ray Sampling
- A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness
- Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
- Continual Evidential Deep Learning for Out-of-Distribution Detection
- An Offline Learning Approach to Propagator Models
- Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
- FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching
- On the Impact of Feeding Cost Risk in Aquaculture Valuation and Decision Making
- CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
- Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
- Hierarchical-level rain image generative model based on GAN
- LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
- A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features
- M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
- The case for and against fixed step-size: Stochastic approximation algorithms in optimization and machine learning
- EdgeFL: A Lightweight Decentralized Federated Learning Framework
- Estimating irregular water demands with physics-informed machine learning to inform leakage detection
- Patched Line Segment Learning for Vector Road Mapping
- GroupEnc: encoder with group loss for global structure preservation
- Persona-aware Generative Model for Code-mixed Language
- Leave no Place Behind: Improved Geolocation in Humanitarian Documents
- Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks
- On the Challenges of Building Datasets for Hate Speech Detection
- A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships
- DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
- Towards Efficient Training with Negative Samples in Visual Tracking
- ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese
- A Unified Framework for Discovering Discrete Symmetries
- Non-Clashing Teaching Maps for Balls in Graphs
- MAD: Modality Agnostic Distance Measure for Image Registration
- Learning Hybrid Dynamics Models With Simulator-Informed Latent States
- On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
- Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
- Image Aesthetics Assessment via Learnable Queries
- Generalised Mutual Information: a Framework for Discriminative Clustering
- Getting too personal(ized): The importance of feature choice in online adaptive algorithms
- Bandwidth-efficient Inference for Neural Image Compression
- A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques
- Random Postprocessing for Combinatorial Bayesian Optimization
- Adjacency-hopping de Bruijn Sequences for Non-repetitive Coding
- BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network
- Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning
- Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses
- Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks
- Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization
- Near-continuous time Reinforcement Learning for continuous state-action spaces
- Agent-based simulation of pedestrians' earthquake evacuation; application to Beirut, Lebanon
- Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development
- 3D Trajectory Reconstruction of Drones using a Single Camera
- Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory
- CVE-driven Attack Technique Prediction with Semantic Information Extraction and a Domain-specific Language Model
- Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
- Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review
- GRASS: Unified Generation Model for Speech-to-Semantic Tasks
- LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
- Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
- On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization
- Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
- Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
- SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series
- MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
- Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training
- HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
- Stylebook: Content-Dependent Speaking Style Modeling for Any-to-Any Voice Conversion using Only Speech Data
- Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
- Offensive Hebrew Corpus and Detection using BERT
- SlAction: Non-intrusive, Lightweight Obstructive Sleep Apnea Detection using Infrared Video
- Unveiling the frontiers of deep learning: innovations shaping diverse domains
- Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
- Improved Outlier Robust Seeding for k-means
- HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models
- Gene-induced Multimodal Pre-training for Image-omic Classification
- A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
- Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
- Efficient Training for Visual Tracking with Deformable Transformer
- RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
- Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
- Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
- Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study
- Subsethood Measures of Spatial Granules
- Zero-Resource Hallucination Prevention for Large Language Models
- Contrastive Learning as Kernel Approximation
- TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction
- Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
- Multiclass Alignment of Confidence and Certainty for Network Calibration
- Deep Reinforcement Learning from Hierarchical Preference Design
- Adaptive Consensus: A network pruning approach for decentralized optimization