Papers
Mon 18 Jan 2021
127 papers
- Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple DomainsKnowledge distillation → General knowledge distillation methods
- Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-ExpertsMixture-of-experts → Multimodal MoE models
- What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input SpaceLLM safety and security → Backdoor and data poisoning attacks
- HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
- Machine learning with limited data
- Fidelity and Privacy of Synthetic Medical Data
- Magnification Generalization for Histopathology Image Embedding
- Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography
- Text line extraction using fully convolutional network and energy minimization
- Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
- Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
- Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders
- Exact Recovery of Community Structures Using DeepWalk and Node2vec
- Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping
- Accelerating Deep Learning Inference via Learned Caches
- Automatic punctuation restoration with BERT models
- Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection
- MONAH: Multi-Modal Narratives for Humans to analyze conversations
- Improving Makeup Face Verification by Exploring Part-Based Representations
- Dissonance Between Human and Machine Understanding
- Classification of Pedagogical content using conventional machine learning and deep learning model
- GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
- Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents
- Diagnostic Captioning: A Survey
- Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
- The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
- Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
- E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
- Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
- Alignment and stability of embeddings: measurement and inference improvement
- Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models
- Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
- Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
- Cell division in deep material networks applied to multiscale strain localization modeling
- Leveraging AI to optimize website structure discovery during Penetration Testing
- Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis
- A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features
- Quantification of Disaggregation Difficulty with Respect to the Number of Meters
- Incorporating Coincidental Water Data into Non-intrusive Load Monitoring
- Deep Reinforcement Learning with Embedded LQR Controllers
- HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
- Maximizing approximately k-submodular functions
- PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts
- Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples
- Natural Language Specification of Reinforcement Learning Policies through Differentiable Decision Trees
- Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers
- Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
- A simple geometric proof for the benefit of depth in ReLU networks
- Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
- Neural Abstractive Text Summarizer for Telugu Language
- LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask
- Deep Reinforcement Learning for Active High Frequency Trading
- Online detection of failures generated by storage simulator
- Model Compression for Domain Adaptation through Causal Effect Estimation
- Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration
- Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
- Data Obsolescence Detection in the Light of Newly Acquired Valid Observations
- Deep Inertial Odometry with Accurate IMU Preintegration
- A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces
- Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
- Online Caching with Optimal Switching Regret
- CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition
- Iterative Facial Image Inpainting Based on an Encoder-Generator Architecture
- AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing
- Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions
- Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification
- Deep Universal Blind Image Denoising
- Regularized Policies are Reward Robust
- An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
- Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing
- Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes
- Interactive slice visualization for exploring machine learning models
- Studying Catastrophic Forgetting in Neural Ranking Models
- Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
- Screening for Sparse Online Learning
- Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
- Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI
- Semi-Automatic Annotation For Visual Object Tracking
- On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces
- Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks
- Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
- On Data-Augmentation and Consistency-Based Semi-Supervised Learning
- Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI
- Covid-19 classification with deep neural network and belief functions
- Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
- HinFlair: pre-trained contextual string embeddings for pos tagging and text classification in the Hindi language
- Learning DNN networks using un-rectifying ReLU with compressed sensing application
- Incremental Knowledge Based Question Answering
- Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
- Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation
- Detection of Insider Attacks in Distributed Projected Subgradient Algorithms
- TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection
- A Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Dataset
- Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask
- Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
- Multi-Source Data Fusion for Cyberattack Detection in Power Systems
- DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
- Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs
- A note on the price of bandit feedback for mistake-bounded online learning
- Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning
All 127
- Can a Fruit Fly Learn Word Embeddings?
- Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements
- Transferring model structure in Bayesian transfer learning for Gaussian process regression
- CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
- Abstractive Opinion Tagging
- CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
- Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving
- Discrete Graph Structure Learning for Forecasting Multiple Time Series
- Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild
- GraphAttacker: A General Multi-Task GraphAttack Framework
- Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation
- Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
- CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
- Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
- On the Differentially Private Nature of Perturbed Gradient Descent
- Hierarchical disentangled representation learning for singing voice conversion
- ZeRO-Offload: Democratizing Billion-Scale Model Training
- Deep Structured Reactive Planning
- Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
- HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction
- Inference for BART with Multinomial Outcomes
- ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS
- Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
- Fast and accurate learned multiresolution dynamical downscaling for precipitation
- Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter
- TREGO: a Trust-Region Framework for Efficient Global Optimization
- MP3: A Unified Model to Map, Perceive, Predict and Plan