Papers
Tue 23 Aug 2022
182 papers
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic InstrumentsOffline RL and imitation learning from data → Offline RL algorithms
- Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Deep Structural Causal Shape ModelsLLM reasoning → Clinical and biomedical applications
- Evaluating Machine Unlearning via Epistemic UncertaintyLLM safety and security → Machine unlearning
- The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback TypesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Experimental verification of the quantum nature of a neural network
- A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules
- Towards a Better Microcredit Decision
- FlexER: Flexible Entity Resolution for Multiple Intents
- The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market
- Why is the video analytics accuracy fluctuating, and what can we do about it?
- Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix
- Even vertex zeta-graceful labeling on Rough Graph
- Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs
- ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild
- EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
- Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting
- A Graph Convolution for Signed Directed Graphs
- Psychophysical Machine Learning
- Preprocessing Source Code Comments for Linguistic Models
- Exact Penalty Method for Federated Learning
- Why Deep Learning's Performance Data Are Misleading
- POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study
- DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
- Data augmentation on graphs for table type classification
- Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization
- Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
- Modelling Latent Dynamics of StyleGAN using Neural ODEs
- Robustness to Unbounded Smoothness of Generalized SignSGD
- Bitext Mining for Low-Resource Languages via Contrastive Learning
- Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events
- On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection
- Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- Auditing Membership Leakages of Multi-Exit Networks
- A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels
- Ordinal analysis of lexical patterns
- The Alberta Plan for AI Research
- Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
- Sparse Polynomial Optimization: Theory and Practice
- Multi-domain Learning for Updating Face Anti-spoofing Models
- Retrieval-based Controllable Molecule Generation
- Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding
- Distance-Aware Occlusion Detection with Focused Attention
- Limits of Entrainment of Circadian Neuronal Networks
- Towards Open Set Video Anomaly Detection
- DeepInteraction: 3D Object Detection via Modality Interaction
- Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
- Efficient Attention-free Video Shift Transformers
- Explaining Bias in Deep Face Recognition via Image Characteristics
- Dynamic Causal Collaborative Filtering
- Consistency Regularization for Domain Adaptation
- Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
- SurvSHAP(t): Time-dependent explanations of machine learning survival models
- Robot Active Neural Sensing and Planning in Unknown Cluttered Environments
- Categoroids: Universal Conditional Independence
- A Stochastic Variance Reduced Gradient using Barzilai-Borwein Techniques as Second Order Information
- DepthFake: a depth-based strategy for detecting Deepfake videos
- Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows
- Multi-Modal Representation Learning with Self-Adaptive Threshold for Commodity Verification
- Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
- Exponential concentration in quantum kernel methods
- Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests
- Prompting as Probing: Using Language Models for Knowledge Base Construction
- Enhancement Encoding: A Novel Imbalanced Classification Approach via Encoding the Training Labels
- IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification
- Tunable Hybrid Proposal Networks for the Open World
- Flat Multi-modal Interaction Transformer for Named Entity Recognition
- CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
- Link prediction with continuous-time classical and quantum walks
- Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation
- KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
- Adversarial Feature Augmentation for Cross-domain Few-shot Classification
- Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval
- META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
- Low-Light Video Enhancement with Synthetic Event Guidance
- AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Images
- Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform
- Convex mixed-integer optimization with Frank-Wolfe methods
- An Evolutionary Approach for Creating of Diverse Classifier Ensembles
- Learning linear modules in a dynamic network with missing node observations
- Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
- Unsupervised Anomaly Localization with Structural Feature-Autoencoders
- ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
- Causal Entropy Optimization
- Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking
- Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, Weights
- The Value of Out-of-Distribution Data
- Convergence bounds for local least squares approximation
- Regularized impurity reduction: Accurate decision trees with complexity guarantees
- Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction
- Research Note on Uncertain Probabilities and Abstract Argumentation
- FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
- StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation
- AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
- Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
- A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
- A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
- Can you recommend content to creatives instead of final consumers? A RecSys based on user's preferred visual styles
All 182
- Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
- pystacked: Stacking generalization and machine learning in Stata
- A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey
- Transfer Learning Application of Self-supervised Learning in ARPES
- What deep reinforcement learning tells us about human motor learning and vice-versa
- Joint Privacy Enhancement and Quantization in Federated Learning
- A differentiable short-time Fourier transform with respect to the window length
- Transferability Ranking of Adversarial Examples
- FocusFormer: Focusing on What We Need via Architecture Sampler
- Bayesian Floor Field: Transferring people flow predictions across environments
- Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond
- CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
- Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
- In-Air Imaging Sonar Sensor Network with Real-Time Processing Using GPUs
- Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution
- LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
- Satellite Image Search in AgoraEO
- Multimodal Across Domains Gaze Target Detection
- GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers
- Improving Personality Consistency in Conversation by Persona Extending
- Unsupervised Question Answering via Answer Diversifying
- Towards Accurate Facial Landmark Detection via Cascaded Transformers
- Learning Better Masking for Better Language Model Pre-training
- Time-lapse image classification using a diffractive neural network
- MATra: A Multilingual Attentive Transliteration System for Indian Scripts
- Aging prediction using deep generative model toward the development of preventive medicine
- Computational valency lexica and Homeric formularity
- Extending nnU-Net is all you need
- Event-Triggered Time-Varying Bayesian Optimization
- Semantic Driven Energy based Out-of-Distribution Detection
- Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity
- Object Detection in Aerial Images with Uncertainty-Aware Graph Network
- Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation
- Adversarial Vulnerability of Temporal Feature Networks for Object Detection
- Learning an Efficient Multimodal Depth Completion Model
- PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Images
- We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience
- A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots
- Depth Map Decomposition for Monocular Depth Estimation
- CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
- How good are deep models in understanding the generated images?
- Survival Mixture Density Networks
- Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
- Neural PCA for Flow-Based Representation Learning
- Predicting Query-Item Relationship using Adversarial Training and Robust Modeling Techniques
- Digital topological groups
- Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning
- Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
- Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction
- Super-resolution 3D Human Shape from a Single Low-Resolution Image
- Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset
- Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
- Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
- FedMCSA: Personalized Federated Learning via Model Components Self-Attention
- Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization
- Bag of Tricks for Out-of-Distribution Generalization
- Lexicase Selection at Scale
- String-based Molecule Generation via Multi-decoder VAE
- Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
- GANs and Closures: Micro-Macro Consistency in Multiscale Modeling
- A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
- Few-Shot Table-to-Text Generation with Prefix-Controlled Generator
- Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
- An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm
- CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
- Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
- Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization
- Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
- Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection
- K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
- Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling
- CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment
- Anomaly Attribution with Likelihood Compensation
- Decentralized Collaborative Learning with Probabilistic Data Protection
- Cardinality-Regularized Hawkes-Granger Model
- Solving Royal Game of Ur Using Reinforcement Learning
- Naive Penalized Spline Estimators of Derivatives Achieve Optimal Rates of Convergence
- How to Track and Segment Fish without Human Annotations: A Self-Supervised Deep Learning Approach
- Interaction Modeling with Multiplex Attention
- Fall Detection from Audios with Audio Transformers
- A First Look at Dataset Bias in License Plate Recognition
- Learning Visibility for Robust Dense Human Body Estimation