Papers
Tue 23 Nov 2021
161 papers
- Domain-Agnostic Clustering with Self-DistillationKnowledge distillation → General knowledge distillation methods
- Learning Interactive Driving Policies via Data-driven SimulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Forget-SVGD: Particle-Based Bayesian Federated UnlearningLLM safety and security → Federated unlearning and poisoning
- Focal and Global Knowledge Distillation for DetectorsKnowledge distillation → Detection and dense prediction distillation
- SpeechMoE2: Mixture-of-Experts Model with Improved RoutingMixture-of-experts → Multimodal MoE models
- Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier GuidanceDiffusion models → Audio, speech and music
- Semi-Online Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Sample Efficient Imitation Learning via Reward Function Trained in AdvanceOffline RL and imitation learning from data → Imitation learning methods
- Integrating Imitation Learning with Human Driving Data into Reinforcement Learning to Improve Training Efficiency for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks
- Variational Learning for Unsupervised Knowledge Grounded Dialogs
- Variational Autoencoders for Precoding Matrices with High Spectral Efficiency
- SimpleTRON: Simple Transformer with O(N) Complexity
- Node-Level Differentially Private Graph Neural Networks
- Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs
- Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs
- Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
- Post-discovery Analysis of Anomalous Subsets
- Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology
- Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic Buildings
- Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence
- A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
- Evaluating importance of nodes in complex networks with local volume information dimension
- Machine learning-based porosity estimation from spectral decomposed seismic data
- AutoDC: Automated data-centric processing
- Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
- Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
- Input Convex Gradient Networks
- Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization
- Using Distributional Principles for the Semantic Study of Contextual Language Models
- Multi-label Iterated Learning for Image Classification with Label Ambiguity
- PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer
- Towards Empirical Sandwich Bounds on the Rate-Distortion Function
- Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
- Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
- A Bayesian Model for Online Activity Sample Sizes
- In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging
- Best Arm Identification with Safety Constraints
- Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift
- Machine Learning Based Forward Solver: An Automatic Framework in gprMax
- Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
- Mimicking Playstyle by Adapting Parameterized Behavior Trees in RTS Games
- Critical Initialization of Wide and Deep Neural Networks through Partial Jacobians: General Theory and Applications
- Filter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark
- ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups
- Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
- Robust Principal Component Analysis: A Construction Error Minimization Perspective
- On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
- Panoptic Segmentation Meets Remote Sensing
- MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
- Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset
- Algorithmic Fairness in Face Morphing Attack Detection
- Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
- VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
- PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
- Multi-Person 3D Motion Prediction with Multi-Range Transformers
- Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
- Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
- Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
- DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
- A bifurcation threshold for contact-induced language change
- Generating GPU Compiler Heuristics using Reinforcement Learning
- Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
- Adaptive Multi-Goal Exploration
- Learning Symbolic Rules for Reasoning in Quasi-Natural Language
- Adversarial machine learning for protecting against online manipulation
- Romanian Speech Recognition Experiments from the ROBIN Project
- Appliance Level Short-term Load Forecasting via Recurrent Neural Network
- Sparse Fusion for Multimodal Transformers
- HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance
- Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective
- Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations
- KTNet: Knowledge Transfer for Unpaired 3D Shape Completion
- Tree density estimation
- Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
- Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration
- Reviewing continual learning from the perspective of human-level intelligence
- Identifying the Units of Measurement in Tabular Data
- ptype-cat: Inferring the Type and Values of Categorical Variables
- Depth induces scale-averaging in overparameterized linear Bayesian neural networks
- Leveraging Selective Prediction for Reliable Image Geolocation
- Is Shapley Explanation for a model unique?
- PAM: Pose Attention Module for Pose-Invariant Face Recognition
- Hierarchical Graph Networks for 3D Human Pose Estimation
- An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
- Results of improved fractional/integer order PDE-based binarization model
- TWEETSUMM -- A Dialog Summarization Dataset for Customer Service
- Extending the Unmixing methods to Multispectral Images
- LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
- Weakly-Supervised Cloud Detection with Fixed-Point GANs
- Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
- Solve Optimization Problems with Unknown Constraint Networks
- Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks
- Triple Classification for Scholarly Knowledge Graph Completion
- U-shape Transformer for Underwater Image Enhancement
- Subgraph Permutation Equivariant Networks
- Variance Reduction in Deep Learning: More Momentum is All You Need
- A General Divergence Modeling Strategy for Salient Object Detection
All 161
- Learning Representation for Clustering via Prototype Scattering and Positive Sampling
- CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
- Pruning Self-attentions into Convolutional Layers in Single Path
- Composing Partial Differential Equations with Physics-Aware Neural Networks
- Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances
- End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
- Realistic simulation of users for IT systems in cyber ranges
- GenReg: Deep Generative Method for Fast Point Cloud Registration
- Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies
- Upsampling layers for music source separation
- A self-training framework for glaucoma grading in OCT B-scans
- Schedule Based Temporal Difference Algorithms
- Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
- Uncertainty estimation under model misspecification in neural network regression
- ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
- The Impact of Data Distribution on Q-learning with Function Approximation
- S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
- Intriguing Findings of Frequency Selection for Image Deblurring
- Independent Learning in Stochastic Games
- AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place Recognition
- Tensor Component Analysis for Interpreting the Latent Space of GANs
- IR Motion Deblurring
- A new dynamical model for solving rotation averaging problem
- Gait Identification under Surveillance Environment based on Human Skeleton
- Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
- StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks
- Link Analysis meets Ontologies: Are Embeddings the Answer?
- A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
- Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
- Deep Point Cloud Reconstruction
- A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence
- Deep learning-based fast solver of the shallow water equations
- MARS via LASSO
- HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation
- RIO: Rotation-equivariance supervised learning of robust inertial odometry
- Few-shot Image Generation with Mixup-based Distance Learning
- RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
- Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning
- The RETA Benchmark for Retinal Vascular Tree Analysis
- Few-Shot Object Detection via Association and DIscrimination
- Multi-task manifold learning for small sample size datasets
- Weight Pruning and Uncertainty in Radio Galaxy Classification
- Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
- CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
- Inducing Functions through Reinforcement Learning without Task Specification
- CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning
- Isolation forests: looking beyond tree depth
- Network In Graph Neural Network
- Lossless Compression with Probabilistic Circuits
- Self-Regulated Learning for Egocentric Video Activity Anticipation
- Aggregation of Models, Choices, Beliefs, and Preferences
- Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
- Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
- A Modular Framework for Centrality and Clustering in Complex Networks
- Using mixup as regularization and tuning hyper-parameters for ResNets
- PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network
- Simultaneous face detection and 360 degree headpose estimation
- Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
- Semi-Supervised Learning with Taxonomic Labels
- Efficient Video Transformers with Spatial-Temporal Token Selection
- A Logical Semantics for PDDL+