Papers
Fri 25 Aug 2023
180 papers
- Unified Concept Editing in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Residual Denoising Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Rethinking Language Models as Symbolic Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Go Beyond Imagination: Maximizing Episodic Reachability with World ModelsWorld models → Latent dynamics models and model-based RL
- Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationDiffusion models → Medical imaging and segmentation
- MLLM-DataEngine: An Iterative Refinement Approach for MLLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Poison of AlignmentLLM safety and security → Safety alignment, refusal and guardrails
- Position-Enhanced Visual Instruction Tuning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Heterogeneous Decentralized Machine Unlearning with Seed Model DistillationLLM safety and security → Machine unlearning
- Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question AnsweringLLM reasoning → Prompting and chain-of-thought reasoning
- EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion PriorDiffusion models → 3D, point cloud and scene generation
- How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion ModelDiffusion models → Inverse problems and image restoration
- A Survey of Diffusion Based Image Generation Models: Issues and Their SolutionsDiffusion models → Image generation, text-to-image and editing
- Non-line-of-sight imaging in the presence of scattering media using phasor fields
- Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
- Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction
- Antagonising explanation and revealing bias directly through sequencing and multimodal inference
- Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
- Media of Langue: The Interface for Exploring Word Translation Network/Space
- Ontologies for increasing the FAIRness of plant research data
- A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
- Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination
- Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
- EventTransAct: A video transformer-based framework for Event-camera based action recognition
- WellXplain: Wellness Concept Extraction and Classification in Reddit Posts for Mental Health Analysis
- PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
- Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers
- Party Prediction for Twitter
- On the Depth between Beam Search and Exhaustive Search for Text Generation
- 1.5 million materials narratives generated by chatbots
- ACC-UNet: A Completely Convolutional UNet model for the 2020s
- An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite
- Textureless Deformable Surface Reconstruction with Invisible Markers
- Fusion of Infrared and Visible Images based on Spatial-Channel Attentional Mechanism
- Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers
- Linear Oscillation: A Novel Activation Function for Vision Transformer
- Network Embedding Using Sparse Approximations of Random Walks
- REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
- Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
- Pretty darn good control: when are approximate solutions better than approximate models
- PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
- GRASP: A Rehearsal Policy for Efficient Online Continual Learning
- Active learning for fast and slow modeling attacks on Arbiter PUFs
- ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
- Adaptive whitening with fast gain modulation and slow synaptic plasticity
- HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture
- Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach
- Is Deep Learning Network Necessary for Image Generation?
- AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
- LSTM-based QoE Evaluation for Web Microservices' Reputation Scoring
- GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation
- Text Style Transfer Evaluation Using Large Language Models
- An Ensemble Approach to Personalized Real Time Predictive Writing for Experts
- FrFT based estimation of linear and nonlinear impairments using Vision Transformer
- Stochastic Configuration Machines for Industrial Artificial Intelligence
- Discovering Mental Health Research Topics with Topic Modeling
- DARWIN Series: Domain Specific Large Language Models for Natural Science
- SGMM: Stochastic Approximation to Generalized Method of Moments
- Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4
- ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
- Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs
- Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code
- Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level
- Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
- A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance
- Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
- Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
- Ngambay-French Neural Machine Translation (sba-Fr)
- Open Gaze: Open Source eye tracker for smartphone devices using Deep Learning
- Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
- Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere
- Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning
- TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
- Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
- Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages
- Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms
- A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition
- RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network
- Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models
- Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
- ARTIST: ARTificial Intelligence for Simplified Text
- Learning to Intervene on Concept Bottlenecks
- Gotta match 'em all: Solution diversification in graph matching matched filters
- Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
- Mesh-Wise Prediction of Demographic Composition from Satellite Images Using Multi-Head Convolutional Neural Network
- Representing Timed Automata and Timing Anomalies of Cyber-Physical Production Systems in Knowledge Graphs
- Six Lectures on Linearized Neural Networks
- QKSAN: A Quantum Kernel Self-Attention Network
- Exploiting Diverse Feature for Multimodal Sentiment Analysis
- Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
- Nougat: Neural Optical Understanding for Academic Documents
- SoTaNa: The Open-Source Software Development Assistant
- An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation
- Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
- Using Visual and Vehicular Sensors for Driver Behavior Analysis: A Survey
- Relighting Neural Radiance Fields with Shadow and Highlight Hints
- EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression
- Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features
- Direction-aware Video Demoireing with Temporal-guided Bilateral Learning
All 180
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
- TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
- Assessing Keyness using Permutation Tests
- Prompting Visual-Language Models for Dynamic Facial Expression Recognition
- From system models to class models: An in-context learning paradigm
- Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan
- EOG Artifact Removal from Single and Multi-channel EEG Recordings through the combination of Long Short-Term Memory Networks and Independent Component Analysis
- Distribution-Aligned Diffusion for Human Mesh Recovery
- Burnt area extraction from high-resolution satellite images based on anomaly detection
- CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
- A topological model for partial equivariance in deep learning and data analysis
- CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images
- On the Impact of Language Selection for Training and Evaluating Programming Language Models
- A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
- Decoupled Structure for Improved Adaptability of End-to-End Models
- Squeeze aggregated excitation network
- TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network
- A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
- Compressor-Based Classification for Atrial Fibrillation Detection
- 3D Face Alignment Through Fusion of Head Pose Information and Features
- ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
- SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
- Fine-tuning can cripple your foundation model; preserving features may be the solution
- Transforming the Output of Generative Pre-trained Transformer: The Influence of the PGI Framework on Attention Dynamics
- Construction Grammar and Language Models
- Asch Meets HRI: Human Conformity to Robot Groups
- Dynamic Residual Classifier for Class Incremental Learning
- Rapid Artefact Removal and H&E-Stained Tissue Segmentation
- Learning Compact Neural Networks with Deep Overparameterised Multitask Learning
- Federated Linear Bandit Learning via Over-the-Air Computation
- Training normalizing flows with computationally intensive target probability distributions
- A Bayesian Active Learning Approach to Comparative Judgement
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
- Unsupervised Domain Adaptation for Anatomical Landmark Detection
- AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
- Hyperbolic Random Forests
- Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
- Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening
- A Game of Bundle Adjustment -- Learning Efficient Convergence
- Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
- Heterogeneous Federated Learning via Personalized Generative Networks
- Kissing to Find a Match: Efficient Low-Rank Permutation Representation
- Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems
- Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
- Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness
- Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
- Decoding Natural Images from EEG for Object Recognition
- ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking
- DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects
- Bayesian Reasoning for Physics Informed Neural Networks
- MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
- GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis
- SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
- Physics-inspired Equivariant Descriptors of Non-bonded Interactions
- LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models
- Self-supervised learning for hotspot detection and isolation from thermal images
- Deep Active Audio Feature Learning in Resource-Constrained Environments
- Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
- Formalising Natural Language Quantifiers for Human-Robot Interactions
- Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers
- Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
- STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
- Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
- Self-supervised Scene Text Segmentation with Object-centric Layered Representations Augmented by Text Regions
- Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More
- GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
- Deep learning-based interactive segmentation in remote sensing
- DISGO: Automatic End-to-End Evaluation for Scene Text OCR
- Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese
- IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
- Dual Compensation Residual Networks for Class Imbalanced Learning
- DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT
- Federated Learning in IoT: a Survey from a Resource-Constrained Perspective
- Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
- SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
- Diverse, Top-k, and Top-Quality Planning Over Simulators
- MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
- OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
- Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery
- AccFlow: Backward Accumulation for Long-Range Optical Flow