Papers
Wed 11 May 2022
158 papers
- Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft IIOffline RL and imitation learning from data → Imitation learning methods
- Abductive Reasoning in Intuitionistic Propositional Logic via Theorem SynthesisLLM reasoning → Reasoning benchmarks and evaluation
- Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasksLLM reasoning → Reasoning benchmarks and evaluation
- NMR: Neural Manifold Representation for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Towards the Generation of Musical Explanations with GPT-3
- Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models
- The Beyond the Fence Musical and Computer Says Show Documentary
- Hyperspectral Image Classification With Contrastive Graph Convolutional Network
- Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss
- An Introduction to Quantum Machine Learning for Engineers
- CV4Code: Sourcecode Understanding via Visual Code Representations
- MAS2HP: A Multi Agent System to Predict Protein Structure in 2D HP model
- Bias and Fairness on Multimodal Emotion Detection Algorithms
- Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy
- Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction
- Simple Contrastive Graph Clustering
- A review of ontologies for smart and continuous commissioning
- Improved Meta Learning for Low Resource Speech Recognition
- Local Motif Clustering via (Hyper)Graph Partitioning
- SubER: A Metric for Automatic Evaluation of Subtitle Quality
- Dimension-adaptive machine-learning-based quantum state reconstruction
- Stochastic first-order methods for average-reward Markov decision processes
- Algebraic Machine Learning with an Application to Chemistry
- Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
- Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
- RITA: a Study on Scaling Up Generative Protein Sequence Models
- Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
- MEWS: Real-time Social Media Manipulation Detection and Analysis
- CSI-fingerprinting Indoor Localization via Attention-Augmented Residual Convolutional Neural Network
- De-biasing "bias" measurement
- LSI: A Learned Secondary Index Structure
- Deep Learning and Synthetic Media
- Individual Fairness Guarantees for Neural Networks
- "There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
- eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
- Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
- Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
- Surface Representation for Point Clouds
- Learning to Retrieve Videos by Asking Questions
- DISARM: Detecting the Victims Targeted by Harmful Memes
- Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan
- Some Grammatical Errors are Frequent, Others are Important
- Diverse Video Generation from a Single Video
- A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model
- Causal discovery under a confounder blanket
- Multi-Class 3D Object Detection with Single-Class Supervision
- A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection
- Explainable Computational Creativity
- RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
- HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
- Revisiting Random Channel Pruning for Neural Network Compression
- NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
- RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
- Identifying concept libraries from language about object structure
- Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
- Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
- How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India
- Ranked Prioritization of Groups in Combinatorial Bandit Allocation
- Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
- The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
- Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
- On Distributed Adaptive Optimization with Gradient Compression
- Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
- Quantum Self-Attention Neural Networks for Text Classification
- Blockchain-based Secure Client Selection in Federated Learning
- Video-ReTime: Learning Temporally Varying Speediness for Time Remapping
- A simple framework for contrastive learning phases of matter
- RLOP: RL Methods in Option Pricing from a Mathematical Perspective
- Identifying Moments of Change from Longitudinal User Text
- Predicting hot-electron free energies from ground-state data
- A neural prosody encoder for end-ro-end dialogue act classification
- KETOD: Knowledge-Enriched Task-Oriented Dialogue
- Characterizing the Action-Generalization Gap in Deep Q-Learning
- Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
- End-to-End Multi-Person Audio/Visual Automatic Speech Recognition
- TDT: Teaching Detectors to Track without Fully Annotated Videos
- Scream Detection in Heavy Metal Music
- DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
- Face Detection on Mobile: Five Implementations and Analysis
- Review on Panoramic Imaging and Its Applications in Scene Understanding
- Delayed Reinforcement Learning by Imitation
- Access Trends of In-network Cache for Scientific Data
- Externally Valid Policy Choice
- Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings
- CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients
- An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
- Clinical Prompt Learning with Frozen Language Models
- Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
- Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory
- Efficient Automated Deep Learning for Time Series Forecasting
- READ: Large-Scale Neural Scene Rendering for Autonomous Driving
- TextMatcher: Cross-Attentional Neural Network to Compare Image and Text
- Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
- Analysis of convolutional neural network image classifiers in a rotationally symmetric model
- Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review
- Two ways to make your robot proactive: reasoning about human intentions, or reasoning about possible futures
- DNA data storage, sequencing data-carrying DNA
- Scene Consistency Representation Learning for Video Scene Segmentation
- Automatic Tuberculosis and COVID-19 cough classification using deep learning
All 158
- Contrastive Supervised Distillation for Continual Representation Learning
- DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
- Generation of non-stationary stochastic fields using Generative Adversarial Networks
- Utilizing coarse-grained data in low-data settings for event extraction
- A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
- Making Pretrained Language Models Good Long-tailed Learners
- Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis
- Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers
- ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation
- An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
- RustSEG -- Automated segmentation of corrosion using deep learning
- Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features
- An Objective Method for Pedestrian Occlusion Level Classification
- Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation
- Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking
- A Survey on Fairness for Machine Learning on Graphs
- CVTT: Cross-Validation Through Time
- Query-Based Keyphrase Extraction from Long Documents
- AutoKE: An automatic knowledge embedding framework for scientific machine learning
- Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
- Automated differential equation solver based on the parametric approximation optimization
- AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification
- Pre-trained Language Models as Re-Annotators
- Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy
- Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
- NDGGNET-A Node Independent Gate based Graph Neural Networks
- Variational Autoencoder Leveraged MMSE Channel Estimation
- Learning Multitask Gaussian Bayesian Networks
- An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numerical Methods
- Deep Depth Completion from Extremely Sparse Data: A Survey
- Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation
- Arbitrary Shape Text Detection via Boundary Transformer
- Towards Unified Prompt Tuning for Few-shot Text Classification
- The Conflict Between Explainable and Accountable Decision-Making Algorithms
- Weak Supervision with Incremental Source Accuracy Estimation
- User Guide for KOTE: Korean Online Comments Emotions Dataset
- Subspace Learning Machine (SLM): Methodology and Performance
- Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net
- ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
- Unsupervised machine learning for physical concepts
- AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
- Hierarchical Collaborative Hyper-parameter Tuning
- Relational Triple Extraction: One Step is Enough
- The Meta-Turing Test
- What is Proxy Discrimination?
- Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
- A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization
- Evaluation Gaps in Machine Learning Practice
- Spatial-temporal associations representation and application for process monitoring using graph convolution neural network
- Secure & Private Federated Neuroimaging
- Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning
- Salient Object Detection via Bounding-box Supervision
- Developing cooperative policies for multi-stage reinforcement learning tasks
- Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation
- Towards Improved Zero-shot Voice Conversion with Conditional DSVAE
- DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning
- A Unified f-divergence Framework Generalizing VAE and GAN
- A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning