Papers
Tue 18 Jul 2023
228 papers
- Towards A Unified Agent with Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Application of BadNets in Spam FiltersLLM safety and security → Backdoor and data poisoning attacks
- Traffic-Domain Video Question Answering with Automatic CaptioningLLM reasoning → Chain-of-thought reasoning for driving
- AnyDoor: Zero-shot Object-level Image CustomizationDiffusion models → Video generation
- Overthinking the Truth: Understanding how Language Models Process False DemonstrationsLLM reasoning → Reasoning benchmarks and evaluation
- ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Scaling Laws for Imitation Learning in Single-Agent GamesLLM agents and tool use → Reinforcement learning for LLM agents +1
- Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Knowledge Distillation for Object Detection: from generic to remote sensing datasetsKnowledge distillation → Detection and dense prediction distillation
- Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement LearningWorld models → Latent predictive world models
- Class-relation Knowledge Distillation for Novel Class DiscoveryKnowledge distillation → General knowledge distillation methods
- Multimodal LLMs for health grounded in individual-specific dataMultimodal LLMs / vision-language models → Medical vision-language models
- Towards Authentic Face Restoration with Iterative Diffusion Models and BeyondDiffusion models → Inverse problems and image restoration
- REX: Rapid Exploration and eXploitation for AI AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- Multi-Stage Cable Routing through Hierarchical Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Large Language Models Perform Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
- Medication abortion via digital health in the United States: a systematic scoping review
- Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
- De Re and De Dicto Knowledge in Egocentric Setting
- AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
- An Integrated NPL Approach to Sentiment Analysis in Satisfaction Surveys
- CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication
- Solving multiphysics-based inverse problems with learned surrogates and constraints
- Generative Visual Question Answering
- Analyzing sports commentary in order to automatically recognize events and extract insights
- Causality-oriented robustness: exploiting general noise interventions
- Towards Automated Semantic Segmentation in Mammography Images
- The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse
- Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks
- ECSIC: Epipolar Cross Attention for Stereo Image Compression
- Semi-supervised Cycle-GAN for face photo-sketch translation in the wild
- Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges
- Survey on Controlable Image Synthesis with Deep Learning
- Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
- PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
- Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather
- What's meant by explainable model: A Scoping Review
- Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
- JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting
- Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers
- Object-aware Gaze Target Detection
- Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization
- Neural Priority Queues for Graph Neural Networks
- HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual Learning
- VISER: A Tractable Solution Concept for Games with Information Asymmetry
- With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns
- Skin Lesion Correspondence Localization in Total Body Photography
- Promoting Exploration in Memory-Augmented Adam using Critical Momenta
- Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
- Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
- Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
- Saliency strikes back: How filtering out high frequencies improves white-box explanations
- Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning
- Self-Compatibility: Evaluating Causal Discovery without Ground Truth
- The semantic landscape paradigm for neural networks
- Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
- DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
- Can Neural Network Memorization Be Localized?
- Can Model Fusing Help Transformers in Long Document Classification? An Empirical Study
- Adversarial Bayesian Augmentation for Single-Source Domain Generalization
- Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
- PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
- Submodular Maximization under the Intersection of Matroid and Knapsack Constraints
- Forecasting steam mass flow in power plants using the parallel hybrid network
- FACTS: Facial Animation Creation using the Transfer of Styles
- GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping
- Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection
- A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
- Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
- Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
- A comparative analysis of SRGAN models
- Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
- Convergent regularization in inverse problems and linear plug-and-play denoisers
- Grounded Object Centric Learning
- SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs
- Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education
- Measuring Student Behavioral Engagement using Histogram of Actions
- Online Learning with Costly Features in Non-stationary Environments
- ZeQR: Zero-shot Query Reformulation for Conversational Search
- Generalization within in silico screening
- Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
- CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space
- Enhancing Pattern Classification in Support Vector Machines through Matrix Formulation
- Audio-driven Talking Face Generation with Stabilized Synchronization Loss
- Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
- An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
- Local Minima Drive Communications in Cooperative Interaction
- Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement
- MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
- Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
- SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration
- Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
- Adaptively Optimised Adaptive Importance Samplers
- Company2Vec -- German Company Embeddings based on Corporate Websites
- Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots
- Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving
- Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
- Exploiting Field Dependencies for Learning on Categorical Data
All 228
- Biomaker CA: a Biome Maker project using Cellular Automata
- MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
- Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
- Automatic Differentiation for Inverse Problems with Applications in Quantum Transport
- EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
- Conformal prediction under ambiguous ground truth
- Rumor Detection with Diverse Counterfactual Evidence
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- FlexiAST: Flexibility is What AST Needs
- RepViT: Revisiting Mobile CNN From ViT Perspective
- Regression-free Blind Image Quality Assessment with Content-Distortion Consistency
- Improving Text Semantic Similarity Modeling through a 3D Siamese Network
- Linearized Relative Positional Encoding
- End-to-End Neural Network Training for Hyperbox-Based Classification
- Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
- Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning
- Neuromorphic spintronics simulated using an unconventional data-driven Thiele equation approach
- Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
- Text vectorization via transformer-based language models and n-gram perplexities
- Selective Generation for Controllable Language Models
- UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
- Application of BERT in Wind Power Forecasting-Teletraan's Solution in Baidu KDD Cup 2022
- Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
- Generation of High Spatial Resolution Terrestrial Surface from Low Spatial Resolution Elevation Contour Maps via Hierarchical Computation of Median Elevation Regions
- Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
- Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
- Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Review
- Human Body Digital Twin: A Master Plan
- A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
- How Many Neurons Does it Take to Approximate the Maximum?
- Nested stochastic block model for simultaneously clustering networks and nodes
- Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
- Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
- ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
- You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
- Pixel-wise Graph Attention Networks for Person Re-identification
- Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
- Jean-Luc Picard at Touch'e 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments
- Towards Trustworthy Dataset Distillation
- Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications
- CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics
- Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
- MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
- OPHAvatars: One-shot Photo-realistic Head Avatars
- Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
- PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
- MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
- Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs
- Machine Learning for SAT: Restricted Heuristics and New Graph Representations
- The Effects of Mixed Sample Data Augmentation are Class Dependent
- Cloud-native RStudio on Kubernetes for Hopsworks
- Light-Weight Vision Transformer with Parallel Local and Global Self-Attention
- BOLD: A Benchmark for Linked Data User Agents and a Simulation Framework for Dynamic Linked Data Environments
- NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
- Mining of Single-Class by Active Learning for Semantic Segmentation
- Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement
- A Survey on Multi-Objective Neural Architecture Search
- Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards
- Attention over pre-trained Sentence Embeddings for Long Document Classification
- A Federated learning model for Electric Energy management using Blockchain Technology
- Estimation of an Order Book Dependent Hawkes Process for Large Datasets
- Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)
- PixelHuman: Animatable Neural Radiance Fields from Few Images
- Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
- PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
- Learning Adaptive Neighborhoods for Graph Neural Networks
- Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
- Text-guided Image Restoration and Semantic Enhancement for Text-to-Image Person Retrieval
- Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
- Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
- Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation
- QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning
- R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut
- FedDefender: Client-Side Attack-Tolerant Federated Learning
- Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific Documents (Extended Version)
- Emotional Intelligence of Large Language Models
- PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
- PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
- Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles
- ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting
- qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers
- LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
- Towards a Neural Era in Dialogue Management for Collaboration: A Literature Survey
- FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer
- U-shaped Transformer: Retain High Frequency Context in Time Series Analysis
- Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students
- How is ChatGPT's behavior changing over time?
- Soft-IntroVAE for Continuous Latent space Image Super-Resolution
- On the (In)Effectiveness of Large Language Models for Chinese Text Correction
- OxfordVGG Submission to the EGO4D AV Transcription Challenge
- Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
- Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
- TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation
- Oracle Efficient Online Multicalibration and Omniprediction
- Revisiting Latent Space of GAN Inversion for Real Image Editing
- Human Action Recognition in Still Images Using ConViT
- Arbitrary point cloud upsampling via Dual Back-Projection Network
- EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps
- GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
- EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
- AI-assisted Improved Service Provisioning for Low-latency XR over 5G NR
- PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM
- In Defense of Clip-based Video Relation Detection
- Neural Network Pruning as Spectrum Preserving Process
- Learned Scalable Video Coding For Humans and Machines
- Development of the ChatGPT, Generative Artificial Intelligence and Natural Large Language Models for Accountable Reporting and Use (CANGARU) Guidelines
- A Unifying Framework for Differentially Private Sums under Continual Observation
- Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
- Discretization-based ensemble model for robust learning in IoT
- Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting
- Deep Physics-Guided Unrolling Generalization for Compressed Sensing
- Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
- Mitigating Label Bias via Decoupled Confident Learning
- Siamese Networks for Weakly Supervised Human Activity Recognition
- Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
- Multi-stage Neural Networks: Function Approximator of Machine Precision
- IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
- Teach model to answer questions after comprehending the document
- Unsupervised Deep Graph Matching Based on Cycle Consistency
- Active learning of effective Hamiltonian for super-large-scale atomic structures
- Integration of Large Language Models and Federated Learning
- Towards Task Sampler Learning for Meta-Learning
- Optimistic Estimate Uncovers the Potential of Nonlinear Models
- Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees
- Systematic comparison of semi-supervised and self-supervised learning for medical image classification
- Towards the Sparseness of Projection Head in Self-Supervised Learning
- Sharpness-Aware Graph Collaborative Filtering
- What Can Simple Arithmetic Operations Do for Temporal Modeling?