Papers
Wed 8 Dec 2021
158 papers
- Specializing Versatile Skill Libraries using Local Mixture of ExpertsMixture-of-experts → MoE in reinforcement learning and robotics
- Transformaly -- Two (Feature Spaces) Are Better Than OneKnowledge distillation → Detection and dense prediction distillation
- Boosting Contrastive Learning with Relation Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- One-Step Abductive Multi-Target Learning with Diverse Noisy Label Samples
- From Procedures, Objects, Actors, Components, Services, to Agents -- A Comparative Analysis of the History and Evolution of Programming Abstractions
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher
- ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing
- A cross-domain recommender system using deep coupled autoencoders
- DiPS: Differentiable Policy for Sketching in Recommender Systems
- Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
- DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
- Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
- Periodic Residual Learning for Crowd Flow Forecasting
- Neural Network Quantization for Efficient Inference: A Survey
- Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
- Smart Support for Mission Success
- End-to-end Alexa Device Arbitration
- Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
- Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
- Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
- Online Calibrated and Conformal Prediction Improves Bayesian Optimization
- Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
- A Simple and efficient deep Scanpath Prediction
- Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology
- Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
- Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
- Regularization methods for the short-term forecasting of the Italian electric load
- A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation
- InvGAN: Invertible GANs
- Variational Regularization in Inverse Problems and Machine Learning
- The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss
- MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
- Computing Divergences between Discrete Decomposable Models
- Adaptive Kernel Graph Neural Network
- Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification
- Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach
- CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
- SoK: Anti-Facial Recognition Technology
- Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
- Recent Advances in Reinforcement Learning in Finance
- PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing
- Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
- Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
- Building Quantum Field Theories Out of Neurons
- Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
- SIRfyN: Single Image Relighting from your Neighbors
- Dynamic multi feature-class Gaussian process models
- Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market
- Binary Change Guided Hyperspectral Multiclass Change Detection
- Daily peak electrical load forecasting with a multi-resolution approach
- Improving Image Restoration by Revisiting Global Information Aggregation
- A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms
- Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
- A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution
- Joint Global and Local Hierarchical Priors for Learned Image Compression
- FLAVA: A Foundational Language And Vision Alignment Model
- What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction
- Exploring Temporal Granularity in Self-Supervised Video Representation Learning
- Prompting Visual-Language Models for Efficient Video Understanding
- Tracking People by Predicting 3D Appearance, Location & Pose
- Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
- Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
- CoMPS: Continual Meta Policy Search
- Enhancing Counterfactual Classification via Self-Training
- Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
- MLP Architectures for Vision-and-Language Modeling: An Empirical Study
- Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval
- Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
- Audio-Visual Synchronisation in the wild
- Improving language models by retrieving from trillions of tokens
- Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
- SoK: Vehicle Orientation Representations for Deep Rotation Estimation
- FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving
- Matching for causal effects via multimarginal unbalanced optimal transport
- Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
- Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
- On visual self-supervision and its effect on model robustness
- Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
- Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
- Ethical and social risks of harm from Language Models
- COSMIC: fast closed-form identification from large-scale data for LTV systems
- Transformer based trajectory prediction
- Burn After Reading: Online Adaptation for Cross-domain Streaming Data
- Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
- Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
- JABER and SABER: Junior and Senior Arabic BERt
- Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021)
- Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
- Multiway Ensemble Kalman Filter
- SCR: Training Graph Neural Networks with Consistency Regularization
- A systematic approach to random data augmentation on graph neural networks
- Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering
- GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection
- A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos
- FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
- iRoPro: An interactive Robot Programming Framework
- Non parametric estimation of causal populations in a counterfactual scenario
- TempAMLSI : Temporal Action Model Learning based on Grammar Induction
- Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
- Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities
All 158
- DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather
- On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
- Implicit Neural Representations for Image Compression
- Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
- Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
- Feature matching for multi-epoch historical aerial images
- Application of Deep Reinforcement Learning to Payment Fraud
- Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
- Replay For Safety
- SimulSLT: End-to-End Simultaneous Sign Language Translation
- Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
- Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
- Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
- Self-Supervised Models are Continual Learners
- Learning music audio representations via weak language supervision
- Convergence Results For Q-Learning With Experience Replay
- Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
- Adversarial Parametric Pose Prior
- A Fast Algorithm for PAC Combinatorial Pure Exploration
- VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
- Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
- Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
- Pretrained Cost Model for Distributed Constraint Optimization Problems
- Zero-Shot Recommendation as Language Modeling
- Unimodal Face Classification with Multimodal Training
- Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition
- VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
- Equity Promotion in Online Resource Allocation
- Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis
- Assessing a Single Image in Reference-Guided Image Synthesis
- Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
- Aggregation of Pareto optimal models
- Garment4D: Garment Reconstruction from Point Cloud Sequences
- SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization
- Model-Value Inconsistency as a Signal for Epistemic Uncertainty
- A study on native American English speech recognition by Indian listeners with varying word familiarity level
- BA-Net: Bridge Attention for Deep Convolutional Neural Networks
- Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
- A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
- Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
- Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
- Pareto Domain Adaptation
- FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
- ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
- Reverse image filtering using total derivative approximation and accelerated gradient descent
- Feature Statistics Mixing Regularization for Generative Adversarial Networks
- Fully Attentional Network for Semantic Segmentation
- Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
- Learning to Select the Next Reasonable Mention for Entity Linking
- Learning Linear Models Using Distributed Iterative Hessian Sketching
- Uncovering the Local Hidden Community Structure in Social Networks
- The Effect of Model Size on Worst-Group Generalization
- Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training
- Diffeomorphically Learning Stable Koopman Operators
- Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization
- Best Arm Identification under Additive Transfer Bandits
- Active Sensing for Communications by Learning
- GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method