Papers
Wed 27 Sep 2023
223 papers
- Warfare:Breaking the Watermark Protection of AI-Generated ContentLLM safety and security → Watermarking generated content and models
- Towards Best Practices of Activation Patching in Language Models: Metrics and MethodsMechanistic interpretability → Knowledge and representations inside LLMs
- MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
- Symbolic Imitation Learning: From Black-Box to Explainable Driving PoliciesEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Zero-Shot and Few-Shot Video Question Answering with Multi-Modal PromptsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- High Perceptual Quality Wireless Image Delivery with Denoising Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- Exploiting the Signal-Leak Bias in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video GenerationDiffusion models → Video generation
- Importance-Weighted Offline Learning Done RightOffline RL and imitation learning from data → Offline RL algorithms
- Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural RenderingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTsEfficient LLM inference and serving → Token pruning and merging for ViTs
- Factorized Diffusion Architectures for Unsupervised Image Generation and SegmentationDiffusion models → Medical imaging and segmentation
- Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory PredictionsEnd-to-end autonomous driving → End-to-end system architecture
- Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image EditingDiffusion models → Image generation, text-to-image and editing
- An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8LLM reasoning → Spatial and embodied reasoning
- Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion ModelsDiffusion models → Audio, speech and music
- VideoAdviser: Video Knowledge Distillation for Multimodal Transfer LearningKnowledge distillation → Multimodal distillation
- In-Hand Re-grasp Manipulation with Passive Dynamic Actions via Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar MemoryKnowledge distillation → Detection and dense prediction distillation
- Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FutureLLM reasoning → Prompting and chain-of-thought reasoning
- LD4MRec: Simplifying and Powering Diffusion Model for Multimedia RecommendationDiffusion models → Diffusion recommenders
- Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection
- "ChatGPT, a Friend or Foe for Education?" Analyzing the User's Perspectives on the Latest AI Chatbot Via Reddit
- No Trust without regulation!
- ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems
- Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks
- Brave new world: Artificial Intelligence in teaching and learning
- Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification
- Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks
- Borges and AI
- Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
- An Empirical Study of AI Generated Text Detection Tools
- Machine Learning-driven Analysis of Gastrointestinal Symptoms in Post-COVID-19 Patients
- Demographic Parity: Mitigating Biases in Real-World Data
- Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis
- Resilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques
- Explainable machine learning-based prediction model for diabetic nephropathy
- SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems
- Aperture Diffraction for Compact Snapshot Spectral Imaging
- Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images
- Masked Autoencoders are Scalable Learners of Cellular Morphology
- Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models
- AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
- Identifying Risk Factors for Post-COVID-19 Mental Health Disorders: A Machine Learning Perspective
- Diagnosis of Helicobacter pylori using AutoEncoders for the Detection of Anomalous Staining Patterns in Immunohistochemistry Images
- Improving Adaptive Online Learning Using Refined Discretization
- Handbook on Leveraging Lines for Two-View Relative Pose Estimation
- Effective Long-Context Scaling of Foundation Models
- Analytical Modelling of Raw Data for Flow-Guided In-body Nanoscale Localization
- Learning Dissipative Neural Dynamical Systems
- Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature
- GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis
- GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
- Graph-level Representation Learning with Joint-Embedding Predictive Architectures
- Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
- Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
- Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries
- Open Source Infrastructure for Differentiable Density Functional Theory
- Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
- Assessment of Local Climate Zone Products via Simplified Classification Rule with 3D Building Maps
- Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields
- TraCE: Trajectory Counterfactual Explanation Scores
- The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering
- Unified Long-Term Time-Series Forecasting Benchmark
- Towards Efficient and Reliable AI Through Neuromorphic Principles
- AutoEncoding Tree for City Generation and Applications
- Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
- Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation
- Projection based fuzzy least squares twin support vector machine for class imbalance problems
- Highly Efficient SNNs for High-speed Object Detection
- Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
- Neuro-Inspired Hierarchical Multimodal Learning
- STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
- SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
- Examining the Values Reflected by Children during AI Problem Formulation
- OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
- Multi-task and few-shot learning in virtual flow metering
- Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing
- Convolutional Networks with Oriented 1D Kernels
- Fair Canonical Correlation Analysis
- Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
- Lyra: Orchestrating Dual Correction in Automated Theorem Proving
- Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study
- Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
- Quantum Block-Matching Algorithm using Dissimilarity Measure
- Large Language Model Routing with Benchmark Datasets
- Partial Transport for Point-Cloud Registration
- BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
- Joint-YODNet: A Light-weight Object Detector for UAVs to Achieve Above 100fps
- AaP-ReID: Improved Attention-Aware Person Re-identification
- Question answering using deep learning in low resource Indian language Marathi
- Learning the Efficient Frontier
- Benign overfitting beyond prediction: The ordinary least squares interpolator
- AI in Software Engineering: Case Studies and Prospects
- Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
- Latent Graphs for Semi-Supervised Learning on Biomedical Tabular Data
- InfraParis: A multi-modal and multi-task autonomous driving dataset
- Automated CT Lung Cancer Screening Workflow using 3D Camera
- Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
All 223
- Provably Efficient Exploration in Constrained Reinforcement Learning:Posterior Sampling Is All You Need
- Synthetic Latent Fingerprint Generation Using Style Transfer
- Deep Learning-based Analysis of Basins of Attraction
- Temporal graph models fail to capture global temporal dynamics
- MindGPT: Interpreting What You See with Non-invasive Brain Recordings
- Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration
- Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python
- Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription
- Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension
- Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
- Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
- SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
- HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
- Deep Model Fusion: A Survey
- Physics Inspired Hybrid Attention for SAR Target Recognition
- A Unified View of Differentially Private Deep Generative Modeling
- Breaking On-Chip Communication Anonymity using Flow Correlation Attacks
- Enhancing End-to-End Conversational Speech Translation Through Target Language Context Utilization
- End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning
- Joint Sampling and Optimisation for Inverse Rendering
- SJTU-TMQA: A quality assessment database for static mesh with texture map
- Speech collage: code-switched audio generation by collaging monolingual corpora
- MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection
- On the Computational Entanglement of Distant Features in Adversarial Machine Learning
- Human Kinematics-inspired Skeleton-based Video Anomaly Detection
- Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
- Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
- Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting
- SANGEA: Scalable and Attributed Network Generation
- Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
- Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?
- Efficient tensor network simulation of IBM's largest quantum processors
- Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices
- Enhancing Sharpness-Aware Optimization Through Variance Suppression
- RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
- Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data
- NLPBench: Evaluating Large Language Models on Solving NLP Problems
- Neuromorphic Imaging and Classification with Graph Learning
- Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery
- Perception for Humanoid Robots
- Developing automatic verbatim transcripts for international multilingual meetings: an end-to-end solution
- NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps
- Entropic Matching for Expectation Propagation of Markov Jump Processes
- Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization
- OceanBench: The Sea Surface Height Edition
- PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
- A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
- Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
- Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
- LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization
- Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction
- Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation
- The Maximum Cover with Rotating Field of View
- HPL-ViT: A Unified Perception Framework for Heterogeneous Parallel LiDARs in V2V
- Jointly Training Large Autoregressive Multimodal Models
- Guided Frequency Loss for Image Restoration
- Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization
- Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
- Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
- Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization
- Low Latency of object detection for spikng neural network
- Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023
- Startup success prediction and VC portfolio simulation using CrunchBase data
- DeepRepViz: Identifying Confounders in Deep Learning Model Predictions
- From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction
- Uncertainty Quantification via Neural Posterior Principal Components
- Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data
- P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
- Cyber Security Requirements for Platforms Enhancing AI Reproducibility
- Improving Facade Parsing with Vision Transformers and Line Integration
- Robust Internal Representations for Domain Generalization
- MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
- SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
- Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
- Raij=u: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems
- Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
- Teaching Text-to-Image Models to Communicate in Dialog
- GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network
- DreamCom: Finetuning Text-guided Inpainting Model for Image Composition
- Finite Scalar Quantization: VQ-VAE Made Simple
- Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations
- Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision
- CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading
- Survey on Deep Face Restoration: From Non-blind to Blind and Beyond
- Tackling VQA with Pretrained Foundation Models without Further Training
- Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
- Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation
- Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
- Fast Locality Sensitive Hashing with Theoretical Guarantee
- The Robust Semantic Segmentation UNCV2023 Challenge Results
- A Tutorial on Uniform B-Spline
- Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis
- Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
- Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View
- DTC: Deep Tracking Control
- ChatCounselor: A Large Language Models for Mental Health Support
- GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion
- LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
- Semantics-Driven Cloud-Edge Collaborative Inference
- Local Compressed Video Stream Learning for Generic Event Boundary Detection
- Graph Neural Prompting with Large Language Models
- NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
- Deep Learning in Deterministic Computational Mechanics
- The Triad of Failure Modes and a Possible Way Out
- Automatic Feature Fairness in Recommendation via Adversaries
- 3D Multiple Object Tracking on Autonomous Driving: A Literature Review
- Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights
- Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs
- KDD-LOAM: Jointly Learned Keypoint Detector and Descriptors Assisted LiDAR Odometry and Mapping
- Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions
- Subjective Face Transform using Human First Impressions
- ADGym: Design Choices for Deep Anomaly Detection
- PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling
- Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning
- Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences
- Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision
- Beyond the Chat: Executable and Verifiable Text-Editing with LLMs
- C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems
- Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms
- BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
- Exploring Learned Representations of Neural Networks with Principal Component Analysis
- Neural Operators for Accelerating Scientific Simulations and Design
- On the Power of SVD in the Stochastic Block Model