Papers
Wed 19 Jul 2023
205 papers
- Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- What can we learn from Data Leakage and Unlearning for Law?LLM safety and security → Machine unlearning
- PreDiff: Precipitation Nowcasting with Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
- Explaining Autonomous Driving Actions with Visual Question AnsweringEnd-to-end autonomous driving → VLMs for autonomous driving
- Improving Multimodal Datasets with Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External ControlsDiffusion models → Audio, speech and music
- Rethinking Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Robust Driving Policy Learning with Guided Meta Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
- FABRIC: Personalizing Diffusion Models with Iterative FeedbackDiffusion models → Image generation, text-to-image and editing +1
- Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI SynthesisDiffusion models → Medical imaging and segmentation
- Controlling Equational Reasoning in Large Language Models with Prompt InterventionsLLM reasoning → Mathematical reasoning
- XSkill: Cross Embodiment Skill DiscoveryOffline RL and imitation learning from data → Robot manipulation imitation learning
- BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionDiffusion models → Inverse problems and image restoration
- Near-Linear Time Projection onto the ℓ1,∞ Ball; Application to Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- DiffDP: Radiotherapy Dose Prediction via a Diffusion ModelDiffusion models → Medical imaging and segmentation
- Text2Layer: Layered Image Generation using Latent Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration
- Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study
- The importance of feature preprocessing for differentially private linear optimization
- Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games
- Eye Disease Classification Using Deep Learning Techniques
- Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection
- A Competitive Learning Approach for Specialized Models: A Solution for Complex Physical Systems with Distinct Functional Regimes
- Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
- Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior
- Markov Decision Processes with Time-Varying Geometric Discounting
- SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval
- Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
- FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
- Findings of Factify 2: Multimodal Fake News Detection
- Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?
- Classification of Visualization Types and Perspectives in Patents
- A data science axiology: the nature, value, and risks of data science
- A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints
- Complying with the EU AI Act
- Improving the Reusability of Pre-trained Language Models in Real-world Applications
- Determination of the critical points for systems of directed percolation class using machine learning
- A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
- Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model
- Thrust: Adaptively Propels Large Language Models with External Knowledge
- Confidence Estimation Using Unlabeled Data
- Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
- A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data
- A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks
- Learning Formal Specifications from Membership and Preference Queries
- PharmacyGPT: The AI Pharmacist
- DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
- GOOSE Algorithm: A Powerful Optimization Tool for Real-World Engineering Challenges and Beyond
- Interpreting and Correcting Medical Image Classification with PIP-Net
- POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
- TokenFlow: Consistent Diffusion Features for Consistent Video Editing
- Selection functions of strong lens finding neural networks
- Properties of Discrete Sliced Wasserstein Losses
- Code Detection for Hardware Acceleration Using Large Language Models
- ProtiGeno: a prokaryotic short gene finder using protein language models
- Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study
- IncDSI: Incrementally Updatable Document Retrieval
- Reproducibility in Machine Learning-Driven Research
- Eliminating Label Leakage in Tree-Based Vertical Federated Learning
- FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning
- CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
- Absolutist AI
- Mood Classification of Bangla Songs Based on Lyrics
- DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
- LightPath: Lightweight and Scalable Path Representation Learning
- Challenges and Applications of Large Language Models
- LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
- VITS : Variational Inference Thompson Sampling for contextual bandits
- Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
- Drone navigation and license place detection for vehicle location in indoor spaces
- A Unified Framework for Pattern Recovery in Penalized and Thresholded Estimation and its Geometry
- Leveraging Visemes for Better Visual Speech Representation and Lip Reading
- Exploring Transformer Extrapolation
- Curvature-based Clustering on Graphs
- Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
- A Hierarchical Architecture for Neural Materials
- General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds with One Stone
- Two Approaches to Supervised Image Segmentation
- Memory Efficient And Minimax Distribution Estimation Under Wasserstein Distance Using Bayesian Histograms
- Gradient Sparsification For Masked Fine-Tuning of Transformers
- Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
- Revisiting invariances and introducing priors in Gromov-Wasserstein distances
- Android in the Wild: A Large-Scale Dataset for Android Device Control
- A Decision Making Framework for Recommended Maintenance of Road Segments
- A Dual Formulation for Probabilistic Principal Component Analysis
- Entropy regularization in probabilistic clustering
- Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
- Accurate deep learning sub-grid scale models for large eddy simulations
- Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
- Divert More Attention to Vision-Language Object Tracking
- Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
- Automatic Conversion of MiniZinc Programs to QUBO
- Contextual Reliability: When Different Features Matter in Different Contexts
- An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods
- Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK
- RoboCIn Small Size League Extended Team Description Paper for RoboCup 2023
- When Dialects Collide: How Socioeconomic Mixing Affects Language Use
- Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
- MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
All 205
- 6G Network Business Support System
- TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
- As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
- TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
- Impact of Disentanglement on Pruning Neural Networks
- UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
- TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
- Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
- Lazy Visual Localization via Motion Averaging
- Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
- Towards green AI-based software systems: an architecture-centric approach (GAISSA)
- GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
- U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
- ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
- Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
- TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network
- AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
- Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
- DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration
- Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
- Large Language Models can accomplish Business Process Management Tasks
- TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
- Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
- Exploring Non-Regular Extensions of Propositional Dynamic Logic with Description-Logics Features
- Learning invariant representations of time-homogeneous stochastic dynamical systems
- Chit-Chat or Deep Talk: Prompt Engineering for Process Mining
- Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
- PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
- An analysis on the effects of speaker embedding choice in non auto-regressive TTS
- Repeated Observations for Classification
- Learning from Abstract Images: on the Importance of Occlusion in a Minimalist Encoding of Human Poses
- 3Deformer: A Common Framework for Image-Guided Mesh Deformation
- Amortised Design Optimization for Item Response Theory
- A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading
- Test-takers have a say: understanding the implications of the use of AI in language tests
- Symmetric Equilibrium Learning of VAEs
- Adversarial Likelihood Estimation With One-Way Flows
- A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones
- Amortised Experimental Design and Parameter Estimation for User Models of Pointing
- Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
- Towards a population-informed approach to the definition of data-driven models for structural dynamics
- Towards Reliable Rare Category Analysis on Graphs via Individual Calibration
- Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention
- Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
- Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis
- Reinforcement Learning for Credit Index Option Hedging
- Compressive Image Scanning Microscope
- Deep Operator Network Approximation Rates for Lipschitz Operators
- A Fast and Map-Free Model for Trajectory Prediction in Traffics
- What do neural networks learn in image classification? A frequency shortcut perspective
- Online Continual Learning for Robust Indoor Object Recognition
- Multi-modal Learning based Prediction for Disease
- A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
- Hierarchical Semantic Perceptual Listener Head Video Generation: A High-performance Pipeline
- Deep unrolling Shrinkage Network for Dynamic MR imaging
- Manifold Learning with Sparse Regularised Optimal Transport
- LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
- DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
- GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
- Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
- Graph Federated Learning Based on the Decentralized Framework
- clubsuit CLOVER clubsuit: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
- Forecasting Early with Meta Learning
- From West to East: Who can understand the music of the others better?
- On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models
- A Note on Hardness of Computing Recursive Teaching Dimension
- Density-invariant Features for Distant Point Cloud Registration
- DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis
- ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
- Beyond Single-Feature Importance with ICECREAM
- Generating Redstone Style Cities in Minecraft
- A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
- Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data
- Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
- How Curvature Enhance the Adaptation Power of Framelet GCNs
- Sig-Splines: universal approximation and convex calibration of time series generative models
- Towards Building More Robust Models with Frequency Bias
- Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation
- Constructing Extreme Learning Machines with zero Spectral Bias
- Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
- Generative Prompt Model for Weakly Supervised Object Localization
- Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation
- Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
- Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
- Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
- Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction
- Improved Distribution Matching for Dataset Condensation
- ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations
- NTIRE 2023 Quality Assessment of Video Enhancement Challenge
- Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
- SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
- AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
- Multi-Grained Multimodal Interaction Network for Entity Linking
- Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification
- Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
- RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap
- CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
- Efficient Guided Generation for Large Language Models
- Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
- The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
- Towards Saner Deep Image Registration
- GlobalMapper: Arbitrary-Shaped Urban Layout Generation
- STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
- Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach
- Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation