Papers
Sun 3 Dec 2023
118 papers
- A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingDiffusion models → 3D, point cloud and scene generation
- CalliPaint: Chinese Calligraphy Inpainting with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Evaluation of Active Feature Acquisition Methods for Time-varying Feature SettingsOffline RL and imitation learning from data → Offline RL algorithms
- T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual ConsistencyMultimodal LLMs / vision-language models → Medical vision-language models
- G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- LVDiffusor: Distilling Functional Rearrangement Priors from Large Models into DiffusorDiffusion models → Diffusion and flow policies for robotics
- CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement ModelDiffusion models → Medical imaging and segmentation
- Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion ModelsDiffusion models → Video generation
- Improving In-Context Learning in Diffusion Models with Visual Context-Modulated PromptsDiffusion models → Image generation, text-to-image and editing
- Language-driven All-in-one Adverse Weather RemovalMixture-of-experts → Vision mixture-of-experts
- DiFace: Cross-Modal Face Recognition through Controlled DiffusionDiffusion models → Image generation, text-to-image and editing
- MoEC: Mixture of Experts Implicit Neural CompressionMixture-of-experts → Vision mixture-of-experts
- Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementKnowledge distillation → Distillation for medical imaging
- ViVid-1-to-3: Novel View Synthesis with Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long DocumentsLLM reasoning → Reasoning benchmarks and evaluation
- Meta ControlNet: Enhancing Task Adaptation via Meta LearningDiffusion models → Image generation, text-to-image and editing
- PerCNet: Periodic Complete Representation for Crystal Graphs
- ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
- Next-Step Hint Generation for Introductory Programming Using Large Language Models
- Towards Goal-oriented Intelligent Tutoring Systems in Online Education
- ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution
- Livestock feeding behaviour: A review on automated systems for ruminant monitoring
- Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
- Learning Curricula in Open-Ended Worlds
- The mechanistic basis of data dependence and abrupt learning in an in-context classification task
- Computer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study
- Efficient Incremental Potential Contact for Actuated Face Simulation
- Personality of AI
- Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
- Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
- InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars
- Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction
- QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
- Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models
- WavePlanes: Compact Hex Planes for Dynamic Novel View Synthesis
- DragVideo: Interactive Drag-style Video Editing
- FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
- JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization
- Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting
- Cycle-consistent Generative Adversarial Network Synthetic CT for MR-only Adaptive Radiation Therapy on MR-Linac
- Low-Precision Mixed-Computation Models for Inference on Edge
- AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing
- A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
- TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation
- Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
- Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts
- Recurrent Distance Filtering for Graph Representation Learning
- Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
- Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments
- SANeRF-HQ: Segment Anything for NeRF in High Quality
- NovoMol: Recurrent Neural Network for Orally Bioavailable Drug Design and Validation on PDGFRα Receptor
- SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise
- Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training
- Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies
- CityGen: Infinite and Controllable City Layout Generation
- Learn2Extend: Extending sequences by retaining their statistical properties with mixture models
- Normed Spaces for Graph Embedding
- Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?
- GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping
- ADT: Agent-based Dynamic Thresholding for Anomaly Detection
- OpenVoice: Versatile Instant Voice Cloning
- Optimizing Context-Enhanced Relational Joins
- Regularity as Intrinsic Reward for Free Play
- BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
- Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving
- Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion
- Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
- Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
- D-Bot: Database Diagnosis System using Large Language Models
- Foveation in the Era of Deep Learning
- Classification of Home Network Problems with Transformers
- Looking Inside Out: Anticipating Driver Intent From Videos
- Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
- Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels
- D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
- Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
- Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
- Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments
- Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water
- VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
- Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective
- Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
- Neural Network Characterization and Entropy Regulated Data Balancing through Principal Component Analysis
- On the Suboptimality of GP-UCB under Polynomial Effective Optimism
- Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix
- Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
- CEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase
- Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey
- Honesty Is the Best Policy: Defining and Mitigating AI Deception
- Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
- Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
- ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications
- Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
- MABViT -- Modified Attention Block Enhances Vision Transformers
- Few-shot Shape Recognition by Learning Deep Shape-aware Features
- NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
- Bridging Background Knowledge Gaps in Translation with Automatic Explicitation
- SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects
- On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi
All 118
- Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data
- Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks
- Anomaly Detection Under Uncertainty Using Distributionally Robust Optimization Approach
- Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
- Task-Oriented Edge Networks: Decentralized Learning Over Wireless Fronthaul
- Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas
- Stable Messenger: Steganography for Message-Concealed Image Generation
- Deeper into Self-Supervised Monocular Indoor Depth Estimation
- Mendata: A Framework to Purify Manipulated Training Data
- Brain Decodes Deep Nets
- Toward best research practices in AI Psychology
- A Review of Link Prediction Applications in Network Biology
- Learning to Compose SuperWeights for Neural Parameter Allocation Search
- Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing
- Distributed Reinforcement Learning for Molecular Design: Antioxidant case
- A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors
- TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
- Rethinking PGD Attack: Is Sign Function Necessary?