Papers
Wed 5 Apr 2023
160 papers
- Zero-shot Medical Image Translation via Frequency-Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Learning Stability Attention in Vision-based End-to-end Driving PoliciesEnd-to-end autonomous driving → End-to-end system architecture
- Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Self-Distillation for Gaussian Process Regression and ClassificationKnowledge distillation → General knowledge distillation methods
- ENTL: Embodied Navigation Trajectory LearnerWorld models → World models for navigation
- GenPhys: From Physical Processes to Generative ModelsDiffusion models → Diffusion foundations and sampling
- Generative Novel View Synthesis with 3D-Aware Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- VicTR: Video-conditioned Text Representations for Activity RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- Evaluation of ChatGPT Family of Models for Biomedical Reasoning and ClassificationLLM reasoning → Clinical and biomedical applications
- What's in a Name? Beyond Class Indices for Image RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Personality-aware Human-centric Multimodal Reasoning: A New Task, Dataset and BaselinesLLM reasoning → Reasoning benchmarks and evaluation
- ERRA: An Embodied Representation and Reasoning Architecture for Long-horizon Language-conditioned Manipulation TasksLLM reasoning → Spatial and embodied reasoning
- JPEG Compressed Images Can Bypass Protections Against AI EditingDiffusion models → Robustness, privacy and adversarial aspects
- Mixed Regression via Approximate Message PassingMixture-of-experts → MoE theory and gating functions
- EigenFold: Generative Protein Structure Prediction with Diffusion ModelsDiffusion models → Flow matching, time series and science
- A Diffusion-based Method for Multi-turn Compositional Image GenerationDiffusion models → Image generation, text-to-image and editing
- LARD -- Landing Approach Runway Detection -- Dataset for Vision Based Landing
- Practical Lessons on Optimizing Sponsored Products in eCommerce
- Model-Driven Quantum Federated Learning (QFL)
- Graph-informed simulation-based inference for models of active matter
- Deep Learning Systems for Advanced Driving Assistance
- Inferring Population Dynamics in Macaque Cortex
- HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
- High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks
- Spectral Toolkit of Algorithms for Graphs: Technical Report (1)
- CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
- Constrained Exploration in Reinforcement Learning with Optimality Preservation
- Context-Aware Classification of Legal Document Pages
- UNICORN: A Unified Backdoor Trigger Inversion Framework
- Performance of Data Augmentation Methods for Brazilian Portuguese Text Classification
- FACE-AUDITOR: Data Auditing in Facial Recognition Systems
- Inapproximability of sufficient reasons for decision trees
- A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors
- MoStGAN-V: Video Generation with Temporal Motion Styles
- Low-Shot Learning for Fictional Claim Verification
- Application of Transformers based methods in Electronic Medical Records: A Systematic Literature Review
- MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
- Shape complexity estimation using VAE
- The Saudi Privacy Policy Dataset
- Hybrid Zonotopes Exactly Represent ReLU Neural Networks
- Conceptual structure coheres in human cognition but not in large language models
- StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
- Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks
- Core Challenges in Embodied Vision-Language Planning
- Efficient OCR for Building a Diverse Digital History
- Image Stabilization for Hololens Camera in Remote Collaboration
- FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
- Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
- To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency
- Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
- Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
- Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
- NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks
- Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
- Real-Time Dense 3D Mapping of Underwater Environments
- Agnostic proper learning of monotone functions: beyond the black-box correction barrier
- Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation
- Recovering Continuous Scene Dynamics from A Single Blurry Image with Events
- A Certified Radius-Guided Attack Framework to Image Segmentation Models
- Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding
- ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
- Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
- nD-PDPA: nDimensional Probability Density Profile Analysis
- Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
- Graph Representation Learning for Interactive Biomolecule Systems
- Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
- Segment Anything
- HNeRV: A Hybrid Neural Representation for Videos
- Mapping historical forest biomass for stock-change assessments at parcel to landscape scales
- What Affects Learned Equivariance in Deep Image Recognition Models?
- Dynamic Point Fields
- Towards Explainable AI Writing Assistants for Non-native English Speakers
- Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks
- High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
- Efficient Quantum Algorithms for Quantum Optimal Control
- Query lower bounds for log-concave sampling
- A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy
- ECG Feature Importance Rankings: Cardiologists vs. Algorithms
- Conformal Off-Policy Evaluation in Markov Decision Processes
- Evaluating Online Bandit Exploration In Large-Scale Recommender System
- DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow
- Detecting and Grounding Multi-Modal Media Manipulation
- Human-like Summarization Evaluation with ChatGPT
- Self-Supervised Siamese Autoencoders
- PWESuite: Phonetic Word Embeddings and Tasks They Facilitate
- Multi-annotator Deep Learning: A Probabilistic Framework for Classification
- Learning to Compare Longitudinal Images
- Face Transformer: Towards High Fidelity and Accurate Face Swapping
- Hyper-parameter Tuning for Adversarially Robust Models
- Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition
- "It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
- Opening the random forest black box by the analysis of the mutual impact of features
- SCB-Dataset: A Dataset for Detecting Student and Teacher Classroom Behavior
- A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments
- Selecting Features by their Resilience to the Curse of Dimensionality
- Adaptive Data Augmentation for Contrastive Learning
- Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems
- MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection
- ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback
All 160
- Semantic Validation in Structure from Motion
- TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
- Quiz-based Knowledge Tracing
- Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping
- AutoRL Hyperparameter Landscapes
- DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
- How good Neural Networks interpretation methods really are? A quantitative benchmark
- Physics-Inspired Interpretability Of Machine Learning Models
- Effective control of two-dimensional Rayleigh--B'enard convection: invariant multi-agent reinforcement learning is all you need
- Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net
- Self-supervised 3D Human Pose Estimation from a Single Image
- Correcting Flaws in Common Disentanglement Metrics
- SMPConv: Self-moving Point Representations for Continuous Convolution
- Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
- Few-shot Semantic Image Synthesis with Class Affinity Transfer
- Efficient CNNs via Passive Filter Pruning
- How to choose your best allies for a transferable attack?
- Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition
- Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets
- Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning
- A step towards the applicability of algorithms based on invariant causal learning on observational data
- Deep Quantigraphic Image Enhancement via Comparametric Equations
- Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
- About optimal loss function for training physics-informed neural networks under respecting causality
- SCMM: Calibrating Cross-modal Representations for Text-Based Person Search
- Rethinking the Trigger-injecting Position in Graph Backdoor Attack
- MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
- Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
- Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior
- Towards Efficient Task-Driven Model Reprogramming with Foundation Models
- Optimal Sketching Bounds for Sparse Linear Regression
- Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
- DPPD: Deformable Polar Polygon Object Detection
- Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
- List and Certificate Complexities in Replicable Learning
- Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach
- Ericson: An Interactive Open-Domain Conversational Search Agent
- BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation
- Local Intrinsic Dimensional Entropy
- DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
- Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection
- On the universal approximation property of radial basis function neural networks
- Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
- LogoNet: a fine-grained network for instance-level logo sketch retrieval
- Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
- METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens
- Document-Level Machine Translation with Large Language Models
- PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data
- MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
- Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
- Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
- Building predictive models of healthcare costs with open healthcare data
- Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
- A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data
- Bodily expressed emotion understanding through integrating Laban movement analysis
- Training Strategies for Vision Transformers for Object Detection
- How to Design Translation Prompts for ChatGPT: An Empirical Study
- On the Impact of Voice Anonymization on Speech Diagnostic Applications: a Case Study on COVID-19 Detection
- Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
- ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules