Papers
Sun 24 Sep 2023
117 papers
- Residual Corrective Diffusion Modeling for Km-scale Atmospheric DownscalingDiffusion models → Flow matching, time series and science
- Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A TutorialLLM reasoning → Reasoning for agents, planning and code
- Survey of Social Bias in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- GraphAdapter: Tuning Vision-Language Models With Dual Knowledge GraphMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent SkillsEnd-to-end autonomous driving → Reinforcement learning for driving +1
- On the Posterior Distribution in Denoising: Application to Uncertainty QuantificationDiffusion models → Diffusion foundations and sampling
- Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained ModelsLLM safety and security → Backdoor and data poisoning attacks
- Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
- Manifold Path Guiding for Importance Sampling Specular Chains
- Semantic Face Compression for Metaverse: A Compact 3D Descriptor Based Approach
- Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI
- Proposing an intelligent mesh smoothing method with graph neural networks
- Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19
- Smart OMVI: Obfuscated Malware Variant Identification using a novel dataset
- Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning
- A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism
- Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
- Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
- Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
- Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations
- Cordyceps@LT-EDI: Depression Detection with Reddit and Self-training
- DPA-WNO: A gray box model for a class of stochastic mechanics problem
- Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey
- Agree To Disagree
- Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
- A Text Classification-Based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes
- Human Transcription Quality Improvement
- Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI
- The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
- GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks
- Motion Segmentation from a Moving Monocular Camera
- Devil in the Number: Towards Robust Multi-modality Data Filter
- Combining Two Adversarial Attacks Against Person Re-Identification Systems
- Text Classification: A Perspective of Deep Learning Methods
- Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning
- Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts
- Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans
- Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses
- Overview of Computer Vision Techniques in Robotized Wire Harness Assembly: Current State and Future Opportunities
- A Systematic Literature Review of Computer Vision Applications in Robotized Wire Harness Assembly
- DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics
- Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
- Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
- Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization
- Arabic Sentiment Analysis with Noisy Deep Explainable Model
- Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the Lp-sense
- Multiple Relations Classification using Imbalanced Predictions Adaptation
- MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP
- ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A Star
- A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
- Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes
- Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Games
- ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning
- Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
- Federated Deep Multi-View Clustering with Global Self-Supervision
- Performance Evaluation of Equal-Weight Portfolio and Optimum Risk Portfolio on Indian Stocks
- Regularization and Optimal Multiclass Learning
- Causal-DFQ: Causality Guided Data-free Network Quantization
- Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)
- BdSpell: A YOLO-based Real-time Finger Spelling System for Bangla Sign Language
- RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning
- OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation
- VoiceLDM: Text-to-Speech with Environmental Context
- Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
- Fantastic Generalization Measures are Nowhere to be Found
- A Probabilistic Model for Data Redundancy in the Feature Domain
- Adaptation of the super resolution SOTA for Art Restoration in camera capture images
- ILNet: Low-level Matters for Salient Infrared Small Target Detection
- REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices
- Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
- Development of an intelligent system for the detection of corona virus using artificial neural network
- PanopticNDT: Efficient and Robust Panoptic Mapping
- EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
- Crack-Net: Prediction of Crack Propagation in Composites
- PRIS: Practical robust invertible network for image steganography
- Changes-Aware Transformer: Learning Generalized Changes Representation
- Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
- VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
- Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
- MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field
- Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
- FaceGemma: Enhancing Image Captioning with Facial Attributes for Portrait Images
- Multi-Dimensional Hyena for Spatial Inductive Bias
- From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
- Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development
- Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling
- Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
- Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction
- Solving Low-Dose CT Reconstruction via GAN with Local Coherence
- A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition
- Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantization
- Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI
- Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
- MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
- Multivariate Prototype Representation for Domain-Generalized Incremental Learning
- Keeping in Time: Adding Temporal Context to Sentiment Analysis Models
- Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding
- LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning
- Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images
All 117
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
- Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
- DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
- Related Rhythms: Recommendation System To Discover Music You May Like
- Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification
- Speech enhancement with frequency domain auto-regressive modeling
- Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
- Robust Principal Component Analysis using Density Power Divergence
- Iterative Reachability Estimation for Safe Reinforcement Learning
- Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment
- Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
- LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
- Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
- InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
- The Study of Perceptual Training of Chinese Mandarin Tones for Monolingual Speakers of English Using Adaptive Computer Based Training Software
- Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction
- Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout