Papers
Sat 13 May 2023
86 papers
- Decision-based iterative fragile watermarking for model integrity verificationLLM safety and security → Watermarking generated content and models
- More for Less: Safe Policy Improvement With Stronger Performance GuaranteesOffline RL and imitation learning from data → Safe offline RL
- Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent SystemsOffline RL and imitation learning from data → Offline multi-agent RL
- Disproving XAI Myths with Formal Methods -- Initial Results
- Vanishing Activations: A Symptom of Deep Capsule Networks
- CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
- Spiking Network Initialisation and Firing Rate Collapse
- Learning to Learn Unlearned Feature for Brain Tumor Segmentation
- M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
- Grasping Extreme Aerodynamics on a Low-Dimensional Manifold
- TIPS: Topologically Important Path Sampling for Anytime Neural Networks
- DRew: Dynamically Rewired Message Passing with Delay
- How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
- Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning
- Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
- ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
- Beyond the Safeguards: Exploring the Security Risks of ChatGPT
- Structured and Fast Optimization: The Kronecker SGD Algorithm
- DNN-Compressed Domain Visual Recognition with Feature Adaptation
- Successive Affine Learning for Deep Neural Networks
- Multilingual Previously Fact-Checked Claim Retrieval
- Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts
- SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
- Zero-shot Faithful Factual Error Correction
- A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG2+ Track 3
- Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
- Stochastic Security as a Performance Metric for Quantum-enhanced Generative AI
- Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
- Tight and fast generalization error bound of graph embedding in metric space
- The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?
- GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content
- Structured Low-Rank Tensor Learning
- Leveraging Large Language Models in Conversational Recommender Systems
- A Novel Memetic Strategy for Optimized Learning of Classification Trees
- Image Segmentation via Probabilistic Graph Matching
- Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
- GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples
- AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference
- RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
- CodeT5+: Open Code Large Language Models for Code Understanding and Generation
- Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
- Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
- Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval
- Convergence and scaling of Boolean-weight optimization for hardware reservoirs
- Temporal Consistent Automatic Video Colorization via Semantic Correspondence
- Translating SUMO-K to Higher-Order Set Theory
- Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus
- Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks
- PESTS: Persian_English Cross Lingual Corpus for Semantic Textual Similarity
- DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
- Neural operator for structural simulation and bridge health monitoring
- Consistency Regularization for Domain Generalization with Logit Attribution Matching
- Reviewer assignment problem: A scoping review
- Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
- Dual Use Concerns of Generative AI and Large Language Models
- Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
- Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values
- SPP-CNN: An Efficient Framework for Network Robustness Prediction
- Scalable Educational Question Generation with Pre-trained Language Models
- Bridging History with AI A Comparative Evaluation of GPT 3.5, GPT4, and GoogleBARD in Predictive Accuracy and Fact Checking
- A Flow-Based Generative Model for Rare-Event Simulation
- HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns
- AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal
- A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction
- EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
- Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
- Meta-Polyp: a baseline for efficient Polyp segmentation
- Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data
- Thompson Sampling for Parameterized Markov Decision Processes with Uninformative Actions
- CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers
- The Geometry of Multilingual Language Models: An Equality Lens
- No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction
- Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
- Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance
- Student Classroom Behavior Detection based on YOLOv7-BRA and Multi-Model Fusion
- A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement
- Deep Learning-based Prediction of Electrical Arrhythmia Circuits from Cardiac Motion: An In-Silico Study
- An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems
- PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
- MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning
- Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
- Lightweight Delivery Detection on Doorbell Cameras
- Depth Dependence of μP Learning Rates in ReLU MLPs
- Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy