Papers
Sun 8 May 2022
90 papers
- VPN: Verification of Poisoning in Neural NetworksLLM safety and security → Backdoor and data poisoning attacks
- CCMB: A Large-scale Chinese Cross-modal BenchmarkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- On Conditioning the Input Noise for Controlled Image Generation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Data-Free Adversarial Knowledge Distillation for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- One-Class Knowledge Distillation for Face Presentation Attack DetectionKnowledge distillation → General knowledge distillation methods
- Hamiltonian Monte Carlo Particle Swarm Optimizer
- N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
- Neural Program Synthesis with Query
- Impact of Learning Rate on Noise Resistant Property of Deep Learning Models
- Univariate and Multivariate LSTM Model for Short-Term Stock Market Prediction
- Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection
- Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction
- Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
- Joint Study of Above Ground Biomass and Soil Organic Carbon for Total Carbon Estimation using Satellite Imagery in Scotland
- Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization
- A Structured Span Selector
- SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection
- Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
- Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing
- Rebellion and Disobedience as Useful Tools in Human-Robot Interaction Research -- The Handheld Robotics Case
- Chart Question Answering: State of the Art and Future Directions
- Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
- Neural Architecture Search using Property Guided Synthesis
- MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi
- High-Resolution UAV Image Generation for Sorghum Panicle Detection
- Learning to Brachiate via Simplified Model Imitation
- Investigating Generalization by Controlling Normalized Margin
- Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
- Unsupervised Discovery and Composition of Object Light Fields
- Online Algorithms with Multiple Predictions
- Federated Random Reshuffling with Compression and Variance Reduction
- Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature
- Dynamic Operads, Dynamic Categories: From Deep Learning to Prediction Markets
- SoftPool++: An Encoder-Decoder Network for Point Cloud Completion
- Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification
- ConvMAE: Masked Convolution Meets Masked Autoencoders
- Cross-lingual Adaptation for Recipe Retrieval with Mixup
- Demo: Real-Time Semantic Communications with a Vision Transformer
- Decentralized Stochastic Optimization with Inherent Privacy Protection
- WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction
- It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects
- Multimodal Semi-Supervised Learning for Text Recognition
- Adversarial Learning of Hard Positives for Place Recognition
- Introduction to Soar
- Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
- SeqNet: An Efficient Neural Network for Automatic Malware Detection
- Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach
- On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
- FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
- Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting
- A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
- Unsupervised Homography Estimation with Coplanarity-Aware GAN
- Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
- Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods
- PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift
- Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence
- Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing
- Fingerprint Template Invertibility: Minutiae vs. Deep Templates
- Transformer Tracking with Cyclic Shifting Window Attention
- A Closer Look at Few-shot Image Generation
- Multi-Domain Targeted Sentiment Analysis
- Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs
- Past and Future Motion Guided Network for Audio Visual Event Localization
- Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
- Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
- MLSmellHound: A Context-Aware Code Analysis Tool
- Learning Regionally Decentralized AC Optimal Power Flows with ADMM
- GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
- Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
- Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
- Communication Compression for Decentralized Learning with Operator Splitting Methods
- Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
- SparseTT: Visual Tracking with Sparse Transformers
- RoViST:Learning Robust Metrics for Visual Storytelling
- Mutual Distillation Learning Network for Trajectory-User Linking
- Math-KG: Construction and Applications of Mathematical Knowledge Graph
- Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication
- Context-Aware Abbreviation Expansion Using Large Language Models
- Scheduled Multi-task Learning for Neural Chat Translation
- Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
- Recurrent Dynamic Embedding for Video Object Segmentation
- Silence is Sweeter Than Speech: Self-Supervised Model Using Silence to Store Speaker Information
- DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations
- Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
- Learnability of Competitive Threshold Models
- GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion
- Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments
- DPMS: An ADD-Based Symbolic Approach for Generalized MaxSAT Solving
- End-to-End Rubbing Restoration Using Generative Adversarial Networks