Papers
Tue 9 May 2023
230 papers
- Fine-tuning Language Models with Generative Adversarial Reward ModellingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Review of Vision-Language Models and their Performance on the Hateful Memes ChallengeMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated TextLLM safety and security → Watermarking generated content and models
- DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsDiffusion models → Inverse problems and image restoration
- Vision-Language Models in Remote Sensing: Current Progress and Future TrendsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BadCS: A Backdoor Attack Framework for Code searchLLM safety and security → Backdoor and data poisoning attacks
- Exploiting Pseudo Image Captions for Multimodal SummarizationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style TransferDiffusion models → Image generation, text-to-image and editing
- Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationDiffusion models → Medical imaging and segmentation
- Large Language Models Need Holistically Thought in Medical Conversational QALLM reasoning → Clinical and biomedical applications
- COKE: A Cognitive Knowledge Graph for Machine Theory of MindWorld models → World models for language agents
- Turning Privacy-preserving Mechanisms against Federated LearningLLM safety and security → Federated unlearning and poisoning
- DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap OptimizingKnowledge distillation → General knowledge distillation methods
- Multi-Teacher Knowledge Distillation For Text Image Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
- COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveLLM reasoning → Causal reasoning in LLMs
- SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language ModelsDiffusion models → Image generation, text-to-image and editing
- MoT: Memory-of-Thought Enables ChatGPT to Self-ImproveLLM reasoning → Test-time compute and efficient thinking +1
- SRIL: Selective Regularization for Class-Incremental LearningKnowledge distillation → Distillation for continual learning
- A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems
- Zero-shot personalized lip-to-speech synthesis with face image based voice control
- Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy
- Self-Supervised Learning for Point Clouds Data: A Survey
- Quantum Machine Learning for Malware Classification
- Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
- QVoice: Arabic Speech Pronunciation Learning Application
- Hawkes Process Based on Controlled Differential Equations
- Pseudo-Hamiltonian system identification
- Convex Quaternion Optimization for Signal Processing: Theory and Applications
- FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
- Mitigating Bias in Text Classification via Prompt-Based Text Transformation
- StarCoder: may the source be with you!
- EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising
- The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
- Alleviating Over-smoothing for Unsupervised Sentence Representation
- Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
- Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
- Towards an Automatic Optimisation Model Generator Assisted with Generative Pre-trained Transformer
- Stochastic Texture Filtering
- On the Information Capacity of Nearest Neighbor Representations
- Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
- Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
- Seeing double with a multifunctional reservoir computer
- Fully Bayesian VIB-DeepSSM
- Testing for Overfitting
- Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching
- Regular Splitting Graph Network for 3D Human Pose Estimation
- Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools
- Enhancing Gappy Speech Audio Signals with Generative Adversarial Networks
- Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation
- Multi-Object Self-Supervised Depth Denoising
- Visual Place Recognition with Low-Resolution Images
- Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing
- On the average-case complexity of learning output distributions of quantum circuits
- Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization
- Ranking & Reweighting Improves Group Distributional Robustness
- When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution
- A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
- Multilevel Sentence Embeddings for Personality Prediction
- Message Passing Neural Networks for Traffic Forecasting
- Graph-Based Reductions for Parametric and Weighted MDPs
- DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
- Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation
- Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
- CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
- Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files
- DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
- An Evaluation and Ranking of Different Voting Schemes for Improved Visual Place Recognition
- Effects of data time lag in a decision-making system using machine learning for pork price prediction
- UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization
- 2 * n is better than n2: Decomposing Event Coreference Resolution into Two Tractable Problems
- Policy Gradient Methods in the Presence of Symmetries and State Abstractions
- ImageBind: One Embedding Space To Bind Them All
- InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
- ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
- TidyBot: Personalized Robot Assistance with Large Language Models
- Could AI be the Great Filter? What Astrobiology can Teach the Intelligence Community about Anthropogenic Risks
- SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
- Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning
- Towards Building the Federated GPT: Federated Instruction Tuning
- A duality framework for analyzing random feature and two-layer neural networks
- Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare
- An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
- Metric Space Magnitude and Generalisation in Neural Networks
- Can point cloud networks learn statistical shape models of anatomies?
- The Case Records of ChatGPT: Language Models and Complex Clinical Questions
- The Role of Relevance in Fair Ranking
- Collaborative Chinese Text Recognition with Personalized Federated Learning
- Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists
- Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query
- "Alexa doesn't have that many feelings": Children's understanding of AI through interactions with smart speakers in their homes
- PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
- AudioSlots: A slot-centric generative model for audio separation
- StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
- RLocator: Reinforcement Learning for Bug Localization
- Group Activity Recognition via Dynamic Composition and Interaction
- Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels
- Large Language Models Humanize Technology
- An Algorithm For Adversary Aware Decentralized Networked MARL
- SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
All 230
- SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
- Distributional Multi-Objective Decision Making
- Social Value Orientation and Integral Emotions in Multi-Agent Systems
- ColonMapper: topological mapping and localization for colonoscopy
- Integrating Holistic and Local Information to Estimate Emotional Reaction Intensity
- EFE: End-to-end Frame-to-Gaze Estimation
- RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
- Minimal Learning Machine for Multi-Label Learning
- Self-supervised dense representation learning for live-cell microscopy with time arrow prediction
- FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
- Recursions Are All You Need: Towards Efficient Deep Unfolding Networks
- Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
- Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors
- Real-time instance segmentation with polygons using an Intersection-over-Union loss
- MAUPQA: Massive Automatically-created Polish Question Answering Dataset
- Effects of sub-word segmentation on performance of transformer language models
- Going beyond research datasets: Novel intent discovery in the industry setting
- Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
- Graph Neural Networks for Airfoil Design
- The emergence of clusters in self-attention dynamics
- Multi-Tier Hierarchical Federated Learning-assisted NTN for Intelligent IoT Services
- What is the best recipe for character-level encoder-only modelling?
- Restormer-Plus for Real World Image Deraining: One State-of-the-Art Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)
- Multiscale Augmented Normalizing Flows for Image Compression
- Robust Implicit Regularization via Weight Normalization
- StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator
- Tomography of Quantum States from Structured Measurements via quantum-aware transformer
- WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
- Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2
- High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks
- Egocentric Hierarchical Visual Semantics
- DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
- Estimating related words computationally using language model from the Mahabharata -- an Indian epic
- Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
- Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
- Consistent Text Categorization using Data Augmentation in e-Commerce
- Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions
- CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
- Sharpness-Aware Minimization Alone can Improve Adversarial Robustness
- VEDLIoT -- Next generation accelerated AIoT systems and applications
- PLM-GNN: A Webpage Classification Method based on Joint Pre-trained Language Model and Graph Neural Network
- MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues
- Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
- Large Language Model Programs
- Towards Writer Retrieval for Historical Datasets
- Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching
- Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement
- A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
- GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
- Towards the Characterization of Representations Learned via Capsule-based Network Architectures
- Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
- Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments
- ArgU: A Controllable Factual Argument Generator
- Explainable Recommender with Geometric Information Bottleneck
- Detection of depression on social networks using transformers and ensembles
- TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
- Application of Artificial Intelligence in the Classification of Microscopical Starch Images for Drug Formulation
- How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
- CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
- Structured Sentiment Analysis as Transition-based Dependency Graph Parsing
- The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence
- Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization
- Mediapipe and CNNs for Real-Time ASL Gesture Recognition
- Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data
- On the Limitations of Model Stealing with Uncertainty Quantification Models
- Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue
- Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes
- Causal Discovery via Conditional Independence Testing with Proxy Variables
- VCSUM: A Versatile Chinese Meeting Summarization Dataset
- Learning to Personalize Recommendation based on Customers' Shopping Intents
- Causal Discovery from Subsampled Time Series with Proxy Variables
- DietCNN: Multiplication-free Inference for Quantized CNNs
- Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition
- Rotation Synchronization via Deep Matrix Factorization
- Guided Focal Stack Refinement Network for Light Field Salient Object Detection
- Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
- Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
- Attack Named Entity Recognition by Entity Boundary Interference
- Distilling Script Knowledge from Large Language Models for Constrained Language Planning
- Towards Understanding Generalization of Macro-AUC in Multi-label Learning
- Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
- Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
- Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
- Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)
- FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
- Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
- FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration
- BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
- Graph Neural Network-based surrogate model for granular flows
- Dataset of a parameterized U-bend flow for Deep Learning Applications
- Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
- CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
- Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
- Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models
- LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem
- DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
- CSED: A Chinese Semantic Error Diagnosis Corpus
- Simplicial Hopfield networks
- Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Logic for Explainable AI
- Summarization with Precise Length Control
- E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
- Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
- Effective Medical Code Prediction via Label Internal Alignment
- Child Palm-ID: Contactless Palmprint Recognition for Children
- Latent Interactive A2C for Improved RL in Open Many-Agent Systems
- Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
- DeepTree: Modeling Trees with Situated Latents
- Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
- A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
- Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
- Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
- Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media
- Localisation of Mammographic masses by Greedy Backtracking of Activations in the Stacked Auto-Encoders
- To AI or not to AI, to Buy Local or not to Buy Local: A Mathematical Theory of Real Price
- Generating Phishing Attacks using ChatGPT
- Dual flow fusion model for concrete surface crack segmentation
- A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling
- Comparing Foundation Models using Data Kernels
- Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
- Flame: Simplifying Topology Extension in Federated Learning
- Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
- When a CBR in Hand is Better than Twins in the Bush
- Semi-Supervised Federated Learning for Keyword Spotting
- TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
- Wooden Sleeper Deterioration Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs
- Towards unraveling calibration biases in medical image analysis
- Adaptive Domain Generalization for Digital Pathology Images
- Who Needs Decoders? Efficient Estimation of Sequence-level Attributes