Papers
Sat 25 Nov 2023
95 papers
- GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Z^*: Zero-shot Style Transfer via Attention RearrangementDiffusion models → Image generation, text-to-image and editing
- LANS: A Layout-Aware Neural Solver for Plane Geometry ProblemLLM reasoning → Spatial and embodied reasoning
- Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and PatchingMechanistic interpretability → Probing deception, bias and beliefs
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large DatasetsWorld models → Video-generation world models and simulators +1
- Leveraging Diffusion Perturbations for Measuring Fairness in Computer VisionDiffusion models → Image generation, text-to-image and editing
- InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style AdviserDiffusion models → Image generation, text-to-image and editing
- Point Cloud Pre-training with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training ObjectiveMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- FreePIH: Training-Free Painterly Image Harmonization with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- GDTS: Goal-Guided Diffusion Model with Tree Sampling for Multi-Modal Pedestrian Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
- AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseDiffusion models → Inverse problems and image restoration
- Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Precision Agriculture: Crop Mapping using Machine Learning and Sentinel-2 Satellite Imagery
- A Hybrid SOM and K-means Model for Time Series Energy Consumption Clustering
- New Online Communities: Graph Deep Learning on Anonymous Voting Networks to Identify Sybils in Polycentric Governance
- Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
- RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
- Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning
- Modelling wildland fire burn severity in California using a spatial Super Learner approach
- Enhancing Sentiment Analysis Results through Outlier Detection Optimization
- mvlearnR and Shiny App for multiview learning
- Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence
- Testable Learning with Distribution Shift
- Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture
- Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators
- SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling
- NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies
- Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
- UAE: Universal Anatomical Embedding on Multi-modality Medical Images
- Relevance feedback strategies for recall-oriented neural information retrieval
- Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion
- Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
- Speech-Based Blood Pressure Estimation with Enhanced Optimization and Incremental Clustering
- AugmentTRAJ: A framework for point-based trajectory data augmentation
- Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation
- Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning
- A GPU-based Hydrodynamic Simulator with Boid Interactions
- X-Ray to CT Rigid Registration Using Scene Coordinate Regression
- Weakly-Supervised Audio-Visual Segmentation
- Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching
- Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding
- Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos
- Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning
- Automatically Finding and Categorizing Replication Studies
- Detection of developmental language disorder in Cypriot Greek children using a neural network algorithm
- Task adaption by biologically inspired stochastic comodulation
- Gradient Descent with Polyak's Momentum Finds Flatter Minima via Large Catapults
- Training a Hopfield Variational Autoencoder with Equilibrium Propagation
- MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification
- Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets
- On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data
- Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones
- nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis
- nlpBDpatriots at BLP-2023 Task 1: A Two-Step Classification for Violence Inciting Text Detection in Bangla
- Double-Flow-based Steganography without Embedding for Image-to-Image Hiding
- Offensive Language Identification in Transliterated and Code-Mixed Bangla
- Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space
- E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation
- VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
- Adapter is All You Need for Tuning Visual Tasks
- Satellite-based feature extraction and multivariate time-series prediction of biotoxin contamination in shellfish
- Exploring Causal Learning through Graph Neural Networks: An In-depth Review
- Coordinate-Aware Modulation for Neural Fields
- View it like a radiologist: Shifted windows for deep learning augmentation of CT images
- SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation
- Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data
- Multi-task Planar Reconstruction with Feature Warping Guidance
- Incorporating granularity bias as the margin into contrastive loss for video captioning
- Eliminating Domain Bias for Federated Learning in Representation Space
- Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs)
- Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains
- Selective Inference for Changepoint detection by Recurrent Neural Network
- Identification of morphological fingerprint in perinatal brains using quasi-conformal mapping and contrastive learning
- Vector-Quantized Prompt Learning for Paraphrase Generation
- OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
- Robust Graph Neural Networks via Unbiased Aggregation
- One-Shot Transfer Learning for Nonlinear ODEs
- View-Based Luminance Mapping in Open Workplace
- Coordinate-based Neural Network for Fourier Phase Retrieval
- DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism
- Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
- Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies
- CUCL: Codebook for Unsupervised Continual Learning
- A latent linear model for nonlinear coupled oscillators on graphs
- Continual Referring Expression Comprehension via Dual Modular Memorization
- Support Vector Machine Implementation on MPI-CUDA and Tensorflow Framework
- Class Gradient Projection For Continual Learning
- LLM-Assisted Code Cleaning For Training Accurate Code Generators
- Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features
- Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance
- HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding
- Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
- A unified framework for learning with nonlinear model classes from arbitrary linear samples