Papers
Sat 4 Dec 2021
84 papers
- Extracting knowledge from features with multilevel abstractionKnowledge distillation → General knowledge distillation methods
- PointCLIP: Point Cloud Understanding by CLIPMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VT-CLIP: Enhancing Vision-Language Models with Visual-guided TextsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series ClassificationKnowledge distillation → General knowledge distillation methods
- Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot ImitationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Hierarchical Neural Data Synthesis for Semantic ParsingSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Unraveling Social Perceptions & Behaviors towards Migrants on Twitter
- Representation Learning for Conversational Data using Discourse Mutual Information Maximization
- Using Machine Learning to Find New Density Functionals
- Mixed membership distribution-free model
- Efficient joint noise removal and multi exposure fusion
- Modeling and Predicting Blood Flow Characteristics through Double Stenosed Artery from CFD simulation using Deep Learning Models
- Multi-scale Graph Convolutional Networks with Self-Attention
- Adaptive Feature Interpolation for Low-Shot Image Generation
- Emojich -- zero-shot emoji generation using Russian language: a technical report
- Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
- Fast Graph Neural Tangent Kernel via Kronecker Sketching
- DNN-based Policies for Stochastic AC OPF
- Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
- Variational Wasserstein gradient flow
- Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
- YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
- Predicting Bandwidth Utilization on Network Links Using Machine Learning
- Gated2Gated: Self-Supervised Depth Estimation from Gated Images
- Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction
- Towards automated verification of multi-party consensus protocols
- Optimization-Based Separations for Neural Networks
- My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack
- LTT-GAN: Looking Through Turbulence by Inverting GANs
- 3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge
- TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion
- CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
- Unsupervised Adaptation of Semantic Segmentation Models without Source Data
- SITA: Single Image Test-time Adaptation
- Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers
- Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
- Overcome Anterograde Forgetting with Cycled Memory Networks
- Scanpath Prediction on Information Visualisations
- Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
- Efficient Pressure: Improving efficiency for signalized intersections
- LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
- A Russian Jeopardy! Data Set for Question-Answering Systems
- Machine Learning in Nuclear Physics
- MoFaNeRF: Morphable Facial Neural Radiance Field
- Toward Practical Monocular Indoor Depth Estimation
- An Annotated Video Dataset for Computing Video Memorability
- Adaptive label thresholding methods for online multi-label classification
- Unsupervised Domain Generalization by Learning a Bridge Across Domains
- Ablation study of self-supervised learning for image classification
- PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
- Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
- BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale
- U2-Former: A Nested U-shaped Transformer for Image Restoration
- BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
- A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
- Self-supervised Graph Learning for Occasional Group Recommendation
- Feature-based Recognition Framework for Super-resolution Images
- Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
- "Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic
- DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
- STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
- Construct Informative Triplet with Two-stage Hard-sample Generation
- Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
- In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers
- Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
- Dense Extreme Inception Network for Edge Detection
- Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint
- Controllable Response Generation for Assistive Use-cases
- LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
- Sphere Face Model:A 3D Morphable Model with Hypersphere Manifold Latent Space
- A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
- SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
- SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
- PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
- HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
- A Game-Theoretic Approach for AI-based Botnet Attack Defence
- Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
- Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset
- Transferring Unconditional to Conditional GANs with Hyper-Modulation
- Deep Policy Iteration with Integer Programming for Inventory Management
- Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation
- Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
- Data Fusion with Latent Map Gaussian Processes
- Behind the Curtain: Learning Occluded Shapes for 3D Object Detection