Papers
Sun 11 Dec 2022
68 papers
- Teaching What You Should Teach: A Data-Based Distillation MethodKnowledge distillation → General knowledge distillation methods
- Cap2Aug: Caption guided Image to Image data AugmentationDiffusion models → Image generation, text-to-image and editing
- How to Backdoor Diffusion Models?Diffusion models → Robustness, privacy and adversarial aspects +1
- Molecular Graph Generation by Decomposition and Reassembling
- BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm
- MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset
- Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
- Diamond Abrasive Electroplated Surface Anomaly Detection using Convolutional Neural Networks for Industrial Quality Inspection
- Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic
- MAViC: Multimodal Active Learning for Video Captioning
- Intransitively winning chess players positions
- Can REF output quality scores be assigned by AI? Experimental evidence
- Why Should and How Can Quantum Technologies Be Leveraged at National Levels?
- Artificial intelligence technologies to support research assessment: A review
- CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization
- DISCO: Adversarial Defense with Local Implicit Functions
- A Study of Slang Representation Methods
- Multimodal and Explainable Internet Meme Classification
- Accelerating Self-Supervised Learning via Efficient Training Strategies
- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
- Error-aware Quantization through Noise Tempering
- ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
- Orthogonal SVD Covariance Conditioning and Latent Disentanglement
- Recurrent Vision Transformers for Object Detection with Event Cameras
- Random Feature Models for Learning Interacting Dynamical Systems
- PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
- Learning Neural Volumetric Field for Point Cloud Geometry Compression
- Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
- Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks
- DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting
- YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation
- Retire: Robust Expectile Regression in High Dimensions
- Using Multiple Instance Learning to Build Multimodal Representations
- Context-aware 6D Pose Estimation of Known Objects using RGB-D data
- Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans
- Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
- FactorJoin: A New Cardinality Estimation Framework for Join Queries
- Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images
- A model-data asymptotic-preserving neural network method based on micro-macro decomposition for gray radiative transfer equations
- SchNetPack 2.0: A neural network toolbox for atomistic machine learning
- Mutimodal Ranking Optimization for Heterogeneous Face Re-identification
- FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
- Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection
- Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction
- Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
- Applicability limitations of differentiable full-reference image-quality
- Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine Learning Algorithms
- Client Selection for Federated Bayesian Learning
- End-to-End Speech Translation of Arabic to English Broadcast News
- Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
- SEPT: Towards Scalable and Efficient Visual Pre-Training
- Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
- 2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs
- Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention
- Corruption-tolerant Algorithms for Generalized Linear Models
- MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles
- ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline
- Statistical guarantees for sparse deep learning
- Feature-Level Debiased Natural Language Understanding
- Predicting article quality scores with machine learning: The UK Research Excellence Framework
- A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems
- ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition
- Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
- Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model
- General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
- Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
- Neural Continuous-Time Markov Models
- Generalization Through the Lens of Learning Dynamics