Papers
Mon 22 Aug 2022
151 papers
- Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning ModelsLLM safety and security → Membership inference attacks
- Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model AdaptationKnowledge distillation → Knowledge distillation for LLMs
- Rethinking Knowledge Distillation via Cross-EntropyKnowledge distillation → General knowledge distillation methods
- Prediction of textrmCO2 Adsorption in Nano-Pores with Graph Neural Networks
- Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
- Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
- Interpreting Embedding Spaces by Conceptualization
- Low-Level Physiological Implications of End-to-End Learning of Speech Recognition
- FedOS: using open-set learning to stabilize training in federated learning
- Quantum Multi-Agent Meta Reinforcement Learning
- A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates
- Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
- PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
- Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach
- ECU Identification using Neural Network Classification and Hyperparameter Tuning
- Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
- Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring
- Low Complexity Classification Approach for Faster-than-Nyquist (FTN) Signalling Detection
- Targeted Advertising on Social Networks Using Online Variational Tensor Regression
- Evaluation of group fairness measures in student performance prediction problems
- Three-dimensional micro-structurally informed in silico myocardium -- towards virtual imaging trials in cardiac diffusion weighted MRI
- Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
- RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
- Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery
- LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning
- SoK: Explainable Machine Learning for Computer Security Applications
- Deriving time-averaged active inference from control principles
- Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
- DIDER: Discovering Interpretable Dynamically Evolving Relations
- Automated Temporal Segmentation of Orofacial Assessment Videos
- A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
- Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking
- EBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding
- Different Spectral Representations in Optimized Artificial Neural Networks and Brains
- Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders
- State Of The Art In Open-Set Iris Presentation Attack Detection
- Transductive Decoupled Variational Inference for Few-Shot Classification
- CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations
- Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
- SpeedFolding: Learning Efficient Bimanual Folding of Garments
- Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure
- InstanceFormer: An Online Video Instance Segmentation Framework
- The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
- A Meta-Analysis of Solar Forecasting Based on Skill Score
- Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
- RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
- Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference
- Estimation Contracts for Outlier-Robust Geometric Perception
- Towards an AI-based Early Warning System for Bridge Scour
- DualVoice: Speech Interaction that Discriminates between Normal and Whispered Voice Input
- Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
- Are disentangled representations all you need to build speaker anonymization systems?
- Representation Learning of Knowledge Graph for Wireless Communication Networks
- Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer
- Prioritizing Samples in Reinforcement Learning with Reducible Loss
- BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning
- Automated Pruning of Polyculture Plants
- Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL
- Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias
- Shapelet-Based Counterfactual Explanations for Multivariate Time Series
- Scale invariant process regression: Towards Bayesian ML with minimal assumptions
- Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
- Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
- SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
- Dialogue Term Extraction using Transfer Learning and Topological Data Analysis
- Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
- The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation
- A simple learning agent interacting with an agent-based market model
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
- Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings
- Equivariant Hypergraph Neural Networks
- FurryGAN: High Quality Foreground-aware Image Synthesis
- MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation
- On Deep Learning in Password Guessing, a Survey
- SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
- Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
- Constants of motion network
- The optimality of word lengths. Theoretical foundations and an empirical study
- Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
- Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
- Collaborative Perception for Autonomous Driving: Current Status and Future Trend
- Multi-View Attention Transfer for Efficient Speech Enhancement
- High-quality Task Division for Large-scale Entity Alignment
- A Medical Semantic-Assisted Transformer for Radiographic Report Generation
- Quantifying probabilistic robustness of tree-based classifiers against natural distortions
- Neuro-Symbolic Visual Dialog
- Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
- Incorporating Rivalry in Reinforcement Learning for a Competitive Game
- Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation
- Mix-Pooling Strategy for Attention Mechanism
- Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors
- Latent Neural Stochastic Differential Equations for Change Point Detection
- Semi-supervised classification using a supervised autoencoder for biomedical applications
- BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes
- A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
- Efficient Contextual Preferential Bayesian Optimization with Historical Examples
- Efficient Planning in a Compact Latent Action Space
All 151
- Deterministic Graph-Walking Program Mining
- An Entropy-based Measure of Intelligence Degree of System Structures
- Information-Theoretic Equivalence of Entropic Multi-Marginal Optimal Transport: A Theory for Multi-Agent Communication
- On the non-efficient PAC learnability of conjunctive queries
- Learning Branched Fusion and Orthogonal Projection for Face-Voice Association
- An anomaly detection approach for backdoored neural networks: face recognition as a case study
- Review of Natural Language Processing in Pharmacology
- One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
- From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
- Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition
- PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling
- LTE4G: Long-Tail Experts for Graph Neural Networks
- Convergent autoencoder approximation of low bending and low distortion manifold embeddings
- Aesthetics Driven Autonomous Time-Lapse Photography Generation by Virtual and Real Robots
- TaCo: Textual Attribute Recognition via Contrastive Learning
- KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
- Noise-Adaptive Intelligent Programmable Meta-Imager
- Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
- MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
- Prompt-Matched Semantic Segmentation
- Meta-Causal Feature Learning for Out-of-Distribution Generalization
- STS: Surround-view Temporal Stereo for Multi-view 3D Detection
- Learning Correlated Equilibria in Mean-Field Games
- Machine Learning with Confidential Computing: A Systematization of Knowledge
- SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
- Revising Image-Text Retrieval via Multi-Modal Entailment
- Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
- Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations
- Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
- Socially Fair Center-based and Linear Subspace Clustering
- Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation
- MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails
- Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing
- Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
- Selection Collider Bias in Large Language Models
- Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking
- Robust Bayesian Nonnegative Matrix Factorization with Implicit Regularizers
- Reference-Limited Compositional Zero-Shot Learning
- Multilayer deep feature extraction for visual texture recognition
- Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
- A Simple Baseline for Multi-Camera 3D Object Detection
- Evaluating and Crafting Datasets Effective for Deep Learning With Data Maps
- Learning Invariant Representations under General Interventions on the Response
- Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization
- GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization
- FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
- NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
- A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction
- TransNet: Category-Level Transparent Object Pose Estimation
- PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
- Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation