Papers
Thu 24 Aug 2023
205 papers
- Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency ModelDiffusion models → Medical imaging and segmentation
- Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dense Text-to-Image Generation with Attention ModulationDiffusion models → Image generation, text-to-image and editing
- Towards Realistic Zero-Shot Classification via Self Structural Semantic AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DLIP: Distilling Language-Image Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- BridgeData V2: A Dataset for Robot Learning at ScaleOffline RL and imitation learning from data → Robot manipulation imitation learning
- Code Llama: Open Foundation Models for CodeLLM reasoning → Reasoning benchmarks and evaluation
- Realistic Unsupervised CLIP Fine-tuning with Universal Entropy OptimizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- On Offline Evaluation of 3D Object Detection for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- VIGC: Visual Instruction Generation and CorrectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LR-XFL: Logical Reasoning-based Explainable Federated LearningLLM reasoning → Reasoning benchmarks and evaluation
- Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive LearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables ConsistencyDiffusion models → Video generation
- Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Conditional Kernel Imitation Learning for Continuous State EnvironmentsOffline RL and imitation learning from data → Imitation learning methods
- Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion ModelsDiffusion models → Flow matching, time series and science
- HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasksMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Rational Decision-Making Agent with Internalized Utility JudgmentLLM agents and tool use → Reinforcement learning for LLM agents
- CGMI: Configurable General Multi-Agent Interaction FrameworkLLM agents and tool use → Educational agents and math problem solving
- Component attention network for multimodal dance improvisation recognition
- Considerations for health care institutions training large language models on electronic health records
- Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments
- Model Inversion Attack via Dynamic Memory Learning
- May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
- Learning to Predict 3D Rotational Dynamics from Images of a Rigid Body with Unknown Mass Distribution
- Project Aria: A New Tool for Egocentric Multi-Modal AI Research
- Machine Unlearning for Causal Inference
- Federated Learning for Computer Vision
- Business Metric-Aware Forecasting for Inventory Management
- Bayesian Low-rank Adaptation for Large Language Models
- Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
- Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network
- CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical Images
- Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs
- EgoBlur: Responsible Innovation in Aria
- Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
- Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car
- SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management
- Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models
- Formal specification terminology for demographic agent-based models of fixed-step single-clocked simulations
- Preserving Modality Structure Improves Multi-Modal Learning
- SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
- Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology
- Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
- Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE
- ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
- Data-Side Efficiencies for Lightweight Convolutional Neural Networks
- Lexical Diversity in Kinship Across Languages and Dialects
- Multi-BERT for Embeddings for Recommendation System
- Bayesian Exploration Networks
- Federated Causal Inference from Observational Data
- Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation
- The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
- Financial News Analytics Using Fine-Tuned Llama 2 GPT Model
- Training Neural Networks with Universal Adiabatic Quantum Computing
- Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
- Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations
- Spherical Vision Transformer for 360-degree Video Saliency Prediction
- Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach
- A Survey of AI Music Generation Tools and Models
- NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
- ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors
- Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
- NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
- POCO: 3D Pose and Shape Estimation with Confidence
- MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models
- Motion-Guided Masking for Spatiotemporal Representation Learning
- Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks
- Label Budget Allocation in Multi-Task Learning
- Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries
- Perspective-aware Convolution for Monocular 3D Object Detection
- Panoptic-Depth Color Map for Combination of Depth and Image Segmentation
- Low-count Time Series Anomaly Detection
- An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control
- Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks
- Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI
- 3D Pose Nowcasting: Forecast the Future to Improve the Present
- SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data
- POLCA: Power Oversubscription in LLM Cloud Providers
- CDAN: Convolutional dense attention-guided network for low-light image enhancement
- Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
- Beyond Document Page Classification: Design, Datasets, and Challenges
- Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
- Large Language Models Vote: Prompting for Rare Disease Identification
- Inducing Causal Structure for Abstractive Text Summarization
- Multi-stage feature decorrelation constraints for improving CNN classification performance
- Easy attention: A simple attention mechanism for temporal predictions with transformers
- IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
- VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
- ToonTalker: Cross-Domain Face Reenactment
- Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
- SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
- Learned Local Attention Maps for Synthesising Vessel Segmentations
- Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture
- Fast Adversarial Training with Smooth Convergence
- Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance
All 205
- Probabilistic load forecasting with Reservoir Computing
- Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning
- Text Similarity from Image Contents using Statistical and Semantic Analysis Techniques
- FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease
- Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
- EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
- Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph
- Prediction without Preclusion: Recourse Verification with Reachable Sets
- Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
- Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
- Single-shot Bayesian approximation for neural networks
- LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
- Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
- WavMark: Watermarking for Audio Generation
- On the Consistency of Average Embeddings for Item Recommendation
- IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation
- PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning
- Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation
- Motion In-Betweening with Phase Manifolds
- An Information-Theoretic Approach for Detecting Edits in AI-Generated Text
- Human Comprehensible Active Learning of Genome-Scale Metabolic Networks
- Learning Heavily-Degraded Prior for Underwater Object Detection
- Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
- FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI
- Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion
- Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection
- DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images
- Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game
- Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks
- Ground-to-Aerial Person Search: Benchmark Dataset and Approach
- Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
- A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
- Disentanglement Learning via Topology
- An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression
- Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
- SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
- Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints
- A Continual Learning Approach for Cross-Domain White Blood Cell Classification
- A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes
- Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
- Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition
- Optimal data pooling for shared learning in maintenance operations
- Geodesic Mode Connectivity
- Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
- kTrans: Knowledge-Aware Transformer for Binary Code Embedding
- APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT
- From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue
- The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings
- An All Deep System for Badminton Game Analysis
- Probabilistic Method of Measuring Linguistic Productivity
- Tag-Based Annotation for Avatar Face Creation
- Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines
- Towards Hierarchical Regional Transformer-based Multiple Instance Learning
- Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs
- Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
- Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization
- HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
- A Greedy Approach for Offering to Telecom Subscribers
- PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
- PoseSync: Robust pose based video synchronization
- Exploiting Time-Frequency Conformers for Music Audio Enhancement
- Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
- SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers
- Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
- Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation
- Persistent learning signals and working memory without continuous attractors
- LORD: Leveraging Open-Set Recognition with Unknown Data
- A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
- Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models
- REB: Reducing Biases in Representation for Industrial Anomaly Detection
- Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
- StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction
- A Small and Fast BERT for Chinese Medical Punctuation Restoration
- Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions
- NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
- Hyperbolic Audio-visual Zero-shot Learning
- Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
- Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
- A Co-training Approach for Noisy Time Series Learning
- Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
- Hybrid Models for Facial Emotion Recognition in Children
- CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
- Mutual-Guided Dynamic Network for Image Fusion
- SCP: Spherical-Coordinate-based Learned Point Cloud Compression
- Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation
- FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
- CARE: Co-Attention Network for Joint Entity and Relation Extraction
- SieveNet: Selecting Point-Based Features for Mesh Networks
- UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
- Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion
- I3DOD: Towards Incremental 3D Object Detection via Prompting
- Masked Autoencoders are Efficient Class Incremental Learners
- Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval
- FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution
- DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
- False Information, Bots and Malicious Campaigns: Demystifying Elements of Social Media Manipulations
- Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis
- MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices
- Optimizing Neural Network Scale for ECG Classification
- MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios
- GPTEval: A Survey on Assessments of ChatGPT and GPT-4
- A Brain-Inspired Sequence Learning Model based on a Logic
- Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices
- Attention-Based Acoustic Feature Fusion Network for Depression Detection
- American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers