Papers
Tue 31 May 2022
236 papers
- Prompt Injection: Parameterization of Fixed InputsLLM safety and security → Prompt injection and agent security
- Generative Models with Information-Theoretic Protection Against Membership Inference AttacksLLM safety and security → Membership inference attacks
- A Mixture-of-Expert Approach to RL-based Dialogue ManagementMixture-of-experts → MoE large language models
- Improved Vector Quantized Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- What Knowledge Gets Distilled in Knowledge Distillation?Knowledge distillation → General knowledge distillation methods
- TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- FedHarmony: Unlearning Scanner Bias with Distributed DataLLM safety and security → Federated unlearning and poisoning
- You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic EnvironmentsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Automatic Relation-aware Graph Network ProliferationLLM reasoning → Knowledge- and tool-augmented reasoning
- Few-Shot Unlearning by Model InversionLLM safety and security → Machine unlearning
- itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov GameOffline RL and imitation learning from data → Offline RL algorithms
- 3D Graph Contrastive Learning for Molecular Property Prediction
- The Contribution of Lyrics and Acoustics to Collaborative Understanding of Mood
- Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural Networks and Its Mapping Relationship to Deep Neural Networks
- Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables
- Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems
- A comparative study of back propagation and its alternatives on multilayer perceptrons
- Optimization for Infrastructure Cyber-Physical Systems
- Improving Ads-Profitability Using Traffic-Fingerprints
- Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
- A review of machine learning approaches, challenges and prospects for computational tumor pathology
- Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
- Optimal Activation Functions for the Random Features Regression Model
- An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
- Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning
- Differentiable programming for functional connectomics
- Automatic differentiation of nonsmooth iterative algorithms
- A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
- Towards Context-Aware Neural Performance-Score Synchronisation
- Human-AI Shared Control via Policy Dissection
- A Kernelised Stein Statistic for Assessing Implicit Generative Models
- Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection
- CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
- IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
- Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
- End-to-end Optimization of Machine Learning Prediction Queries
- AVIDA: Alternating method for Visualizing and Integrating Data
- Pre-training via Denoising for Molecular Property Prediction
- Fairness Transferability Subject to Bounded Distribution Shift
- ForestPrune: Compact Depth-Controlled Tree Ensembles
- Communication-efficient distributed eigenspace estimation with arbitrary node failures
- Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
- Near-Optimal Collaborative Learning in Bandits
- Decentralized Competing Bandits in Non-Stationary Matching Markets
- Principle of Relevant Information for Graph Sparsification
- BRExIt: On Opponent Modelling in Expert Iteration
- To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?
- Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry
- Deep learning pipeline for image classification on mobile phones
- MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption
- VALHALLA: Visual Hallucination for Machine Translation
- Provably and Practically Efficient Neural Contextual Bandits
- Easy Variational Inference for Categorical Models via an Independent Binary Approximation
- FHIST: A Benchmark for Few-shot Classification of Histological Images
- Extensive Study of Multiple Deep Neural Networks for Complex Random Telegraph Signals
- Semantically-enhanced Topic Recommendation System for Software Projects
- To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier
- On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
- Comparing feature fusion strategies for Deep Learning-based kidney stone identification
- FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems
- Universal Early Warning Signals of Phase Transitions in Climate Systems
- Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization
- Asynchronous Hierarchical Federated Learning
- CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
- Learning Instance-Specific Augmentations by Capturing Local Invariances
- FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
- PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
- Evolving Domain Generalization
- Online PAC-Bayes Learning
- A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
- COIN: Co-Cluster Infomax for Bipartite Graphs
- Are classical neural networks quantum?
- Weight Set Decomposition for Weighted Rank Aggregation: An interpretable and visual decision support tool
- Neural Retriever and Go Beyond: A Thesis Proposal
- Learning (Very) Simple Generative Models Is Hard
- On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation
- Cascade Luminance and Chrominance for Image Retouching: More Like Artist
- Text2Human: Text-Driven Controllable Human Image Generation
- Private Federated Submodel Learning with Sparsification
- Hedging option books using neural-SDE market models
- A deep learning approach to halo merger tree construction
- VFed-SSD: Towards Practical Vertical Federated Advertising
- NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
- CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
- Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
- Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain
- Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues
- Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
- Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
- Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
- Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
- Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
- Voxel Field Fusion for 3D Object Detection
- Skeleton-based Action Recognition via Temporal-Channel Aggregation
- Bias-inducing geometries: an exactly solvable data model with fairness implications
- A Competitive Method for Dog Nose-print Re-identification
- Uzbek Sentiment Analysis based on local Restaurant Reviews
- Continuous Temporal Graph Networks for Event-Based Graph Data
- Online Meta-Learning in Adversarial Multi-Armed Bandits
All 236
- Enhanced Teaching-Learning-based Optimization for 3D Path Planning of Multicopter UAVs
- SAR Despeckling Using Overcomplete Convolutional Networks
- Inferring 3D change detection from bitemporal optical images
- Variational inference via Wasserstein gradient flows
- Learning brain MRI quality control: a multi-factorial generalization problem
- FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy
- From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
- VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
- One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
- Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
- Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
- SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
- A Review of Mobile Mapping Systems: From Sensors to Applications
- A Reduction to Binary Approach for Debiasing Multiclass Datasets
- Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
- coVariance Neural Networks
- Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100
- LEXpander: applying colexification networks to automated lexicon expansion
- Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
- D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
- Surface Analysis with Vision Transformers
- Attribution-based Explanations that Provide Recourse Cannot be Robust
- Robust Anytime Learning of Markov Decision Processes
- Graph Backup: Data Efficient Backup Exploiting Markovian Transitions
- Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models
- Unsupervised Image Representation Learning with Deep Latent Particles
- Do self-supervised speech models develop human-like perception biases?
- Contrasting quadratic assignments for set-based representation learning
- GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity
- Feature Learning in L2-regularized DNNs: Attraction/Repulsion and Sparsity
- AdaTask: Adaptive Multitask Online Learning
- A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
- A Survey of Deep Fake Detection for Trial Courts
- Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization
- Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models
- The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images
- Concept-level Debugging of Part-Prototype Networks
- SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
- Strategic Classification with Graph Neural Networks
- SymFormer: End-to-end symbolic regression using transformer-based architecture
- Exact Feature Collisions in Neural Networks
- Knowledge Enhanced Neural Networks for relational domains
- Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmark
- Hierarchically Constrained Adaptive Ad Exposure in Feeds
- Hierarchies of Reward Machines
- Variable importance without impossible data
- Non-Iterative Recovery from Nonlinear Observations using Generative Models
- Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
- HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
- EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning
- Template based Graph Neural Network with Optimal Transport Distances
- ViNNPruner: Visual Interactive Pruning for Deep Learning
- Transformers for Multi-Object Tracking on Point Clouds
- DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
- One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
- Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
- Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP
- Attribute Exploration with Multiple Contradicting Partial Experts
- Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings
- Multilingual Transformers for Product Matching -- Experiments and a New Benchmark in Polish
- Mitigating Dataset Bias by Using Per-sample Gradient
- Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
- Provable General Function Class Representation Learning in Multitask Bandits and MDPs
- A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups
- An Informational Space Based Semantic Analysis for Scientific Texts
- On Preemption and Learning in Stochastic Scheduling
- Fast-Spanning Ant Colony Optimisation (FaSACO) for Mobile Robot Coverage Path Planning
- Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark Datasets
- Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers
- Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
- Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
- Contrastive Representation Learning for 3D Protein Structures
- Generalised Implicit Neural Representations
- ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
- Multi-task Optimization Based Co-training for Electricity Consumption Prediction
- NEWTS: A Corpus for News Topic-Focused Summarization
- The CLRS Algorithmic Reasoning Benchmark
- Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification
- Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems
- Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
- Differentiable Invariant Causal Discovery
- APPReddit: a Corpus of Reddit Posts Annotated for Appraisal
- Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
- k-Means Maximum Entropy Exploration
- Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
- Optimizing Intermediate Representations of Generative Models for Phase Retrieval
- Communication-Efficient Distributionally Robust Decentralized Learning
- GlanceNets: Interpretabile, Leak-proof Concept-based Models
- Bag of Tricks for Domain Adaptive Multi-Object Tracking
- Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
- Generative Aging of Brain Images with Diffeomorphic Registration
- Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
- Individual health-disease phase diagrams for disease prevention based on machine learning
- Novel View Synthesis for High-fidelity Headshot Scenes
- Semantic Autoencoder and Its Potential Usage for Adversarial Attack
- Decomposing NeRF for Editing via Feature Field Distillation
- An Effective Fusion Method to Enhance the Robustness of CNN
- Comparing interpretation methods in mental state decoding analyses with deep learning models
- A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
- MontageGAN: Generation and Assembly of Multiple Components by GANs
- hmBERT: Historical Multilingual Language Models for Named Entity Recognition
- 3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies
- Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
- GSR: A Generalized Symbolic Regression Approach
- HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness
- Sub-Image Histogram Equalization using Coot Optimization Algorithm for Segmentation and Parameter Selection
- Secure Federated Clustering
- iFS-RCNN: An Incremental Few-shot Instance Segmenter
- Graph-level Neural Networks: Current Progress and Future Directions
- Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow
- A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
- VC Theoretical Explanation of Double Descent
- Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series
- Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
- AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography
- MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
- DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation
- Gluing Neural Networks Symbolically Through Hyperdimensional Computing
- Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
- Variational Transfer Learning using Cross-Domain Latent Modulation
- IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis
- A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis
- A Unified Framework for Emotion Identification and Generation in Dialogues
- Enhancing Event-Level Sentiment Analysis with Structured Arguments
- Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning
- ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
- Rethinking Graph Neural Networks for Anomaly Detection
- Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
- Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking
- Certifying Some Distributional Fairness with Subpopulation Decomposition
- Sepsis Prediction with Temporal Convolutional Networks
- FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm
- Post-hoc Concept Bottleneck Models
- HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
- Introduction of a tree-based technique for efficient and real-time label retrieval in the object tracking system
- Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning