Papers
Thu 25 Nov 2021
146 papers
- Cross-Domain Adaptive Teacher for Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Self-Distilled Self-Supervised Representation LearningKnowledge distillation → General knowledge distillation methods
- Back to Reality for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
- Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold
- Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
- Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress
- Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?
- Global alignment for relation extraction in Microbiology
- ExPLoit: Extracting Private Labels in Split Learning
- Meaningful human control: actionable properties for AI system development
- DiPD: Disruptive event Prediction Dataset from Twitter
- Image Style Transfer and Content-Style Disentanglement
- Towards Modularity Optimization Using Reinforcement Learning to Community Detection in Dynamic Social Networks
- Beyond Self Attention: A Subquadratic Fourier Wavelet Transformer with Multi Modal Fusion
- A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for Deep Learning Classifier
- Expert Aggregation for Financial Forecasting
- An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
- Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
- Unsupervised Feature Ranking via Attribute Networks
- Designing a Trusted Data Brokerage Framework in the Aviation Domain
- NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
- Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
- Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates
- Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
- Learning from Temporal Gradient for Semi-supervised Action Recognition
- Joint inference and input optimization in equilibrium networks
- Outlier Detection for Trajectories via Flow-embeddings
- Look at here : Utilizing supervision to attend subtle key regions
- FedDropoutAvg: Generalizable federated learning for histopathology image classification
- Generalizing Clinical Trials with Convex Hulls
- A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
- Differentially private stochastic expectation propagation (DP-SEP)
- OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
- Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
- Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
- Characteristic Neural Ordinary Differential Equations
- BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
- SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning
- Federated Data Science to Break Down Silos [Vision]
- Learning Conditional Invariance through Cycle Consistency
- Multiple target tracking with interaction using an MCMC MRF Particle Filter
- Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data
- Using Color To Identify Insider Threats
- Homogeneous Low-Resolution Face Recognition Method based Correlation Features
- Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
- Neural network stochastic differential equation models with applications to financial data forecasting
- Semantic-Aware Generation for Self-Supervised Visual Representation Learning
- Randomized Stochastic Gradient Descent Ascent
- DA2-Net : Diverse & Adaptive Attention Convolutional Neural Network
- Global Interaction Modelling in Vision Transformer via Super Tokens
- Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles
- Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
- A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection
- Unravelling multi-agent ranked delegations
- Learning to Search in Task and Motion Planning with Streams
- Ontology-Based Skill Description Learning for Flexible Production Systems
- Group equivariant neural posterior estimation
- TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect
- Monitoring Hybrid Process Specifications with Conflict Management: The Automata-theoretic Approach
- Scene Graph Generation with Geometric Context
- Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
- GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
- Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
- VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field
- Surface Segmentation Using Implicit Divergence Constraint Between Adjacent Minimal Paths
- QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking
- Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
- A Novel Framework for Image-to-image Translation and Image Compression
- Path Guiding Using Spatio-Directional Mixture Models
- GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
- BoxeR: Box-Attention for 2D and 3D Transformers
- A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
- Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI)
- Exploring Versatile Prior for Human Motion via Motion Frequency Guidance
- Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks
- Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
- Robust Object Detection with Multi-input Multi-output Faster R-CNN
- MegLoc: A Robust and Accurate Visual Localization Pipeline
- DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding
- Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series
- DeepWiVe: Deep-Learning-Aided Wireless Video Transmission
- Toward an Idiomatic Framework for Cognitive Robotics
- Bandit problems with fidelity rewards
- Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
- Transferability Metrics for Selecting Source Model Ensembles
- Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
- Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation
- Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning
- NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
- PolyViT: Co-training Vision Transformers on Images, Videos and Audio
- Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation
- Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
- A-Muze-Net: Music Generation by Composing the Harmony based on the Generated Melody
- Demystifying Graph Neural Network Explanations
- Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods
- CDNet is all you need: Cascade DCN based underwater object detection RCNN
- Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
- Observing Interventions: A logic for thinking about experiments
- Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network
All 146
- Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
- Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks
- Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
- Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
- Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
- Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
- AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
- Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
- Deep Representation Learning with an Information-theoretic Loss
- Low-rank variational Bayes correction to the Laplace method
- Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
- Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
- Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
- ML-Decoder: Scalable and Versatile Classification Head
- Unbiased Pairwise Learning to Rank in Recommender Systems
- Facial Depth and Normal Estimation using Single Dual-Pixel Camera
- Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion
- ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
- Joint stereo 3D object detection and implicit surface reconstruction
- Clustering Effect of (Linearized) Adversarial Robust Models
- ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
- A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
- Human and Scene Motion Deblurring using Pseudo-blur Synthesizer
- Fragment-based molecular generative model with high generalization ability and synthetic accessibility
- Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity
- CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene
- Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
- Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet
- SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation
- Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association
- V2C: Visual Voice Cloning
- Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio
- Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
- Active Learning at the ImageNet Scale
- Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
- A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings
- Time-independent Generalization Bounds for SGLD in Non-convex Settings
- Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks
- Less is More: Generating Grounded Navigation Instructions from Landmarks
- Uncertainty Aware Proposal Segmentation for Unknown Object Detection
- Multi-fidelity Stability for Graph Representation Learning
- Coded Illumination for Improved Lensless Imaging
- A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
- Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
- Extending the Relative Seriality Formalism for Interpretable Deep Learning of Normal Tissue Complication Probability Models
- Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains