Papers
Fri 2 Sep 2022
127 papers
- First Hitting Diffusion Models for Generating Manifold, Graph and Categorical DataDiffusion models → Diffusion foundations and sampling
- Differentiable Optimal Control via Differential Dynamic ProgrammingOffline RL and imitation learning from data → Imitation learning methods
- Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-RecognitionKnowledge distillation → General knowledge distillation methods
- An Introduction to Machine UnlearningLLM safety and security → Machine unlearning
- Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- FOLIO: Natural Language Reasoning with First-Order LogicLLM reasoning → Reasoning benchmarks and evaluation
- Self-Score: Self-Supervised Learning on Score-Based Models for MRI ReconstructionDiffusion models → Medical imaging and segmentation
- Diffusion Models: A Comprehensive Survey of Methods and ApplicationsDiffusion models → Diffusion foundations and sampling
- A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems
- Higher-order Clustering and Pooling for Graph Neural Networks
- Representing Social Networks as Dynamic Heterogeneous Graphs
- Impact of Colour Variation on Robustness of Deep Neural Networks
- Learn to Adapt to New Environment from Past Experience and Few Pilot
- DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
- Adversarial Color Film: Effective Physical-World Attack to DNNs
- Which country is this picture from? New data and methods for DNN-based country recognition
- Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning
- Multi-Modal Experience Inspired AI Creation
- Learning an Ensemble of Deep Fingerprint Representations
- SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis
- On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers
- Impact of Scaled Image on Robustness of Deep Neural Networks
- Are Attribute Inference Attacks Just Imputation?
- elhmc: An R Package for Hamiltonian Monte Carlo Sampling in Bayesian Empirical Likelihood
- Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
- Feature diversity in self-supervised learning
- Person Monitoring by Full Body Tracking in Uniform Crowd Environment
- A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation with Application to Quantile Regression and Bayesian Model Selection
- Object-based active inference
- A PDE approach for regret bounds under partial monitoring
- Improving Contextual Recognition of Rare Words with an Alternate Spelling Prediction Model
- Better Peer Grading through Bayesian Inference
- Elaboration-Generating Commonsense Question Answering at Scale
- Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness
- A Framework for Extracting and Encoding Features from Object-Centric Event Data
- A Method for Discovering Novel Classes in Tabular Data
- Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
- Co-Imitation: Learning Design and Behaviour by Imitation
- Transformers in Remote Sensing: A Survey
- Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
- Revisiting Outer Optimization in Adversarial Training
- Estimation of Correlation Matrices from Limited time series Data using Machine Learning
- CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
- Petals: Collaborative Inference and Fine-tuning of Large Models
- Extend and Explain: Interpreting Very Long Language Models
- Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality
- An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series
- "More Than Words": Linking Music Preferences and Moral Values Through Lyrics
- Reconstructing editable prismatic CAD from rounded voxel models
- A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning
- ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos
- Algorithms for Discrepancy, Matchings, and Approximations: Fast, Simple, and Practical
- Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
- Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning
- Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB
- nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
- Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
- Understandable Controller Extraction from Video Observations of Swarms
- AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
- A New Aligned Simple German Corpus
- Group Property Inference Attacks Against Graph Neural Networks
- Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
- Neighborhood-aware Scalable Temporal Network Representation Learning
- When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
- Can an NN model plainly learn planar layouts?
- Fiducial Tag Localization on a 3D LiDAR Prior Map
- INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
- Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
- Classifying with Uncertain Data Envelopment Analysis
- A taxonomy of surprise definitions
- GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
- Normalization effects on deep neural networks
- Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
- Active learning-assisted neutron spectroscopy with log-Gaussian processes
- Multimodal Information Fusion for Glaucoma and DR Classification
- Contrastive Semantic-Guided Image Smoothing Network
- Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks
- Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression
- LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
- Echocardiographic Image Quality Assessment Using Deep Neural Networks
- SATformer: Transformer-Based UNSAT Core Learning
- Learning task-specific features for 3D pointcloud graph creation
- Macroeconomic Predictions using Payments Data and Machine Learning
- AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
- IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications
- Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis
- Tweaking Metasploit to Evade Encrypted C2 Traffic Detection
- A Class-Aware Representation Refinement Framework for Graph Classification
- TB or not TB? Acoustic cough analysis for tuberculosis classification
- Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
- Proceedings of the 2022 XCSP3 Competition
- Detection of diabetic retinopathy using longitudinal self-supervised learning
- Instance-Dependent Noisy Label Learning via Graphical Modelling
- From latent dynamics to meaningful representations
- Optimistic Optimization of Gaussian Process Samples
- Multi-modal Contrastive Representation Learning for Entity Alignment
- Mapping the ocular surface from monocular videos with an application to dry eye disease grading
- Regret Analysis of Dyadic Search
- PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals
- Dialogue Evaluation with Offline Reinforcement Learning
All 127
- Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines
- Diffusion-based Molecule Generation with Informative Prior Bridges
- Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks
- Real-time 3D Single Object Tracking with Transformer
- Vision-Language Adaptive Mutual Decoder for OOV-STR
- A Discussion of Discrimination and Fairness in Insurance Pricing
- TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
- Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
- Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
- Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
- Domain Adaptation from Scratch
- Structural Bias for Aspect Sentiment Triplet Extraction
- Optimal Diagonal Preconditioning
- An Explainer for Temporal Graph Neural Networks
- Rethinking Efficiency and Redundancy in Training Large-scale Graphs
- PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
- Random Text Perturbations Work, but not Always
- Structure-Preserving Graph Representation Learning
- TypoSwype: An Imaging Approach to Detect Typo-Squatting
- BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec
- Index Tracking via Learning to Predict Market Sensitivities
- WOC: A Handy Webcam-based 3D Online Chatroom
- Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
- Optimizing the Performative Risk under Weak Convexity Assumptions
- Non-IID Quantum Federated Learning with One-shot Communication Complexity
- Temporal Contrastive Learning with Curriculum
- Universal Fourier Attack for Time Series