Papers
Sat 4 Feb 2023
93 papers
- Multi-Source Diffusion Models for Simultaneous Music Generation and SeparationDiffusion models → Audio, speech and music
- Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning ApproachEnd-to-end autonomous driving → Reinforcement learning for driving
- Learning to Agree on Vision Attention for Visual Commonsense ReasoningLLM reasoning → Multimodal reasoning
- Knowledge Distillation in Vision Transformers: A Critical ReviewKnowledge distillation → General knowledge distillation methods
- MOMA:Distill from Self-Supervised TeachersKnowledge distillation → General knowledge distillation methods
- Evaluating Large Language Models in Theory of Mind TasksWorld models → World models for language agents
- Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image ClassificationDiffusion models → Image generation, text-to-image and editing
- Heterogeneous Federated Knowledge Graph Embedding Learning and UnlearningLLM safety and security → Federated unlearning and poisoning +1
- Use of Federated Learning and Blockchain towards Securing Financial Services
- The Science of Detecting LLM-Generated Texts
- Digital Over-the-Air Federated Learning in Multi-Antenna Systems
- Benchmarking sparse system identification with low-dimensional chaos
- Thermal Analysis of Malignant Brain Tumors by Employing a Morphological Differentiation-Based Method in Conjunction with Artificial Neural Network
- Advances in Automatically Rating the Trustworthiness of Text Processing Services
- Referential communication in heterogeneous communities of pre-trained visual deep networks
- PartitionVAE -- a human-interpretable VAE
- Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
- Automated Huntington's Disease Prognosis via Biomedical Signals and Shallow Machine Learning
- Sentiment Analysis on YouTube Smart Phone Unboxing Video Reviews in Sri Lanka
- NeuRI: Diversifying DNN Generation via Inductive Rule Inference
- CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
- Human-Imperceptible Identification with Learnable Lensless Imaging
- Reinforcement Learning in Low-Rank MDPs with Density Features
- Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
- Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
- GAN-based Vertical Federated Learning for Label Protection in Binary Classification
- Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
- Revisiting Image Deblurring with an Efficient ConvNet
- A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms
- PubGraph: A Large-Scale Scientific Knowledge Graph
- Counterfactual Identifiability of Bijective Causal Models
- TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality
- A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
- Variational multichannel multiclass segmentation using unsupervised lifting with CNNs
- CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
- Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
- Oscillation-free Quantization for Low-bit Vision Transformers
- A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
- Certified Robust Control under Adversarial Perturbations
- Laplacian ICP for Progressive Registration of 3D Human Head Meshes
- Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems
- Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
- Real-Time Image Demoireing on Mobile Devices
- Online Reinforcement Learning in Non-Stationary Context-Driven Environments
- Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
- Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
- Construction Grammar Provides Unique Insight into Neural Language Models
- A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
- How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
- AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
- Directed Acyclic Graphs With Tears
- TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
- Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
- This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
- Invariants for neural automata
- Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism
- LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers
- Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function
- Structural Explanations for Graph Neural Networks using HSIC
- FedSpectral+: Spectral Clustering using Federated Learning
- Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
- Reducing Nearest Neighbor Training Sets Optimally and Exactly
- Inferencing the earth moving equipment-environment interaction in open pit mining
- Interaction Order Prediction for Temporal Graphs
- Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity
- Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image Captioning
- Greedy Ordering of Layer Weight Matrices in Transformers Improves Translation
- A New cross-domain strategy based XAI models for fake news detection
- Diversity Induced Environment Design via Self-Play
- Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information
- Detecting Security Patches via Behavioral Data in Code Repositories
- HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
- GRANDE: a neural model over directed multigraphs with application to anti-money laundering
- Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Control
- Matrix Estimation for Individual Fairness
- Knowledge-enhanced Neural Machine Reasoning: A Review
- Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
- Reducing ANN-SNN Conversion Error through Residual Membrane Potential
- AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
- Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
- FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information
- Cross-Frequency Time Series Meta-Forecasting
- X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification
- GDB: Gated convolutions-based Document Binarization
- Lived Experience Matters: Automatic Detection of Stigma on Social Media Toward People Who Use Substances
- Reinforcement Learning with History-Dependent Dynamic Contexts
- Representation Deficiency in Masked Language Modeling
- Semantic Diffusion Network for Semantic Segmentation
- Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
- Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
- REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
- Rating Sentiment Analysis Systems for Bias through a Causal Lens
- A neural operator-based surrogate solver for free-form electromagnetic inverse design