Papers
Tue 10 May 2022
145 papers
- Extracting Latent Steering Vectors from Pretrained Language ModelsMechanistic interpretability → Activation steering methods
- Exploring Viable Algorithmic Options for Learning from Demonstration (LfD): A Parameterized Complexity ApproachOffline RL and imitation learning from data → Robot learning from demonstration
- Ratatouille: A tool for Novel Recipe Generation
- ANGLEr: A Next-Generation Natural Language Exploratory Framework
- A Neural Network Architecture for Program Understanding Inspired by Human Behaviors
- 2-d signature of images and texture classification
- Lifelong Personal Context Recognition
- Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN
- Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks
- Privacy Enhancement for Cloud-Based Few-Shot Learning
- Quality versus speed in energy demand prediction for district heating systems
- A Safety Assurable Human-Inspired Perception Architecture
- Depression Diagnosis and Forecast based on Mobile Phone Sensor Data
- VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
- Symphony Generation with Permutation Invariant Language Model
- Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions
- Best of Both Worlds: Multi-task Audio-Visual Automatic Speech Recognition and Active Speaker Detection
- Separator-Transducer-Segmenter: Streaming Recognition and Segmentation of Multi-party Speech
- Reducing Activation Recomputation in Large Transformer Models
- Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
- Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
- Social Inclusion in Curated Contexts: Insights from Museum Practices
- On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction
- Multifidelity data fusion in convolutional encoder/decoder networks
- Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI
- ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
- Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook
- Deep Graph Clustering via Mutual Information Maximization and Mixture Model
- Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
- Efficient Risk-Averse Reinforcement Learning
- Sibylvariant Transformations for Robust Text Classification
- Regression-based projection for learning Mori-Zwanzig operators
- UL2: Unifying Language Learning Paradigms
- Human Language Modeling
- A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
- Deep fusion of gray level co-occurrence matrices for lung nodule classification
- Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
- An Efficient Calculation of Quaternion Correlation of Signals and Color Images
- Richer Countries and Richer Representations
- Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
- Bias and Priors in Machine Learning Calibrations for High Energy Physics
- Reduce Information Loss in Transformers for Pluralistic Image Inpainting
- Learning Visual Styles from Audio-Visual Associations
- Towards Climate Awareness in NLP Research
- Tensor-based Collaborative Filtering With Smooth Ratings Scale
- Accelerating the Training of Video Super-Resolution Models
- Secure and Private Source Coding with Private Key and Decoder Side Information
- MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution
- On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
- Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
- Fundamental limitations on optimization in variational quantum algorithms
- A High Throughput Generative Vector Autoregression Model for Stochastic Synapses
- On learning agent-based models from data
- White-box Testing of NLP models with Mask Neuron Coverage
- A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
- A Quantitative Symbolic Approach to Individual Human Reasoning
- Learning to Answer Visual Questions from Web Videos
- Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
- Random Forests for Change Point Detection
- KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
- Disentangling A Single MR Modality
- ALLSH: Active Learning Guided by Local Sensitivity and Hardness
- NeRF-Editing: Geometry Editing of Neural Radiance Fields
- Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
- Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training
- Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
- Reasoning in the Description Logic ALC under Category Semantics
- A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
- Shadow-Aware Dynamic Convolution for Shadow Removal
- Learning Non-target Knowledge for Few-shot Semantic Segmentation
- Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
- Identical Image Retrieval using Deep Learning
- Strong Equivalence of Logic Programs with Ordered Disjunction: a Logical Perspective
- Hybrid quantum ResNet for car classification and its hyperparameter optimization
- Turtle Score -- Similarity Based Developer Analyzer
- THOR: Threshold-Based Ranking Loss for Ordinal Regression
- Universal Caching
- Scaling-up Generalized Planning as Heuristic Search with Landmarks
- MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
- Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering
- Object Detection in Indian Food Platters using Transfer Learning with YOLOv4
- Cognitive Visual-learning Environment for PostgreSQL
- Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques
- Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging
- Bridging the prosody GAP: Genetic Algorithm with People to efficiently sample emotional prosody
- Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
- The Impact of Partial Occlusion on Pedestrian Detectability
- The Importance of Context in Very Low Resource Language Modeling
- Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case
- Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases
- Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs
- Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
- Matrix and graph representations of vine copula structures
- Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
- Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
- Explainable Deep Learning Methods in Medical Image Classification: A Survey
- A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
- WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes
- Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild
- Controlling Extra-Textual Attributes about Dialogue Participants -- A Case Study of English-to-Polish Neural Machine Translation
All 145
- Deep learning based Chinese text sentiment mining and stock market correlation research
- Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
- AI training resources for GLAM: a snapshot
- From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
- Explainable Data Imputation using Constraints
- Power of Quantum Generative Learning
- Weakly-supervised segmentation of referring expressions
- Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
- Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network
- Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
- Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
- SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
- Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards
- StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
- Automatic Detection of Microaneurysms in OCT Images Using Bag of Features
- Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
- Probabilistic Approach for Detection of High-Frequency Periodic Signals using an Event Camera
- AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation
- DNS based In-Browser Cryptojacking Detection
- OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
- UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection
- Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
- Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision Pollination
- Improving genetic risk prediction across diverse population by disentangling ancestry representations
- Real-Time Wearable Gait Phase Segmentation For Running And Walking
- Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
- Deep Gait Tracking With Inertial Measurement Unit
- A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
- SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
- ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair
- Robust Learning of Parsimonious Deep Neural Networks
- Crypto Pump and Dump Detection via Deep Learning Techniques
- On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
- STDC-MA Network for Semantic Segmentation
- Using Frequency Attention to Make Adversarial Patch Powerful Against Person Detector
- On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning
- KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction
- An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics
- Entropic CLT for Order Statistics
- Risk Preferences of Learning Algorithms
- CoDo: Contrastive Learning with Downstream Background Invariance for Detection
- Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach
- Calibrating for Class Weights by Modeling Machine Learning
- Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
- Sentence-level Privacy for Document Embeddings